LaurieWired (@lauriewired) on X

Just built an MCP for Ghidra.

Now basically any LLM (Claude, Gemini, local...) can Reverse Engineer malware for you.  With the right prompting, it automates a *ton* of tedious tasks.

One-shot markups of entire binaries with just a click.

Open source, on Github now.

LaurieWired (@lauriewired) on X


GitHub - LaurieWired/GhidraMCP: MCP Server for Ghidra

# [](https://github.com/)

MCP Server for Ghidra. Contribute to LaurieWired/GhidraMCP development by creating an account on GitHub.

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---

MCP Server for Ghidra. Contribute to LaurieWired/GhidraMCP development by creating an account on GitHub.


# R2E: Turning any GitHub Repository into a Programming Agent Environment

*R2E: Turning any GitHub Repository into a Programming Agent Environment*

---

R2E: Turning any GitHub Repository into a Programming Agent Environment


OSU-NLP-Group/HippoRAG: [NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personalized PageRank.

# [](https://github.com/)

[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Perso...

**Language:**  • **Stars:** 0 • **Forks:** 0

---

[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Perso...


ayanami2003/GATE

ayanami2003/GATE

# [](https://github.com/)

Contribute to ayanami2003/GATE development by creating an account on GitHub.

**Language:**  • **Stars:** 0 • **Forks:** 0

---

Contribute to ayanami2003/GATE development by creating an account on GitHub.


zsq259/Plan-over-Graph

zsq259/Plan-over-Graph

# [](https://github.com/)

Contribute to zsq259/Plan-over-Graph development by creating an account on GitHub.

**Language:**  • **Stars:** 0 • **Forks:** 0

---

Contribute to zsq259/Plan-over-Graph development by creating an account on GitHub.


🕵 最全通用 AGENT 案例合集 1.0

🕵 最全通用 AGENT 案例合集 1.0

🕵 最全通用 AGENT 案例合集 1.0

# 🕵 最全通用 AGENT 案例合集 1.0

*本通用 AGENT 案例合集由 「flowith 和它的朋友们」共同制作、收纳、整理，旨在为所有用户提供一个探索 AGENT 能力和学习如何使用 AGENT 的指南库。  结合目前在 2025 全球智能体创作大赛提交作品以及 flowith 用户对于 Oracle 的深度探索，我们将本案例合集分为三类供大家学习，他们分别是：📈研究工作类 AGENT，🎢生活娱乐类 AGENT，🧑🎓学*

---

本通用 AGENT 案例合集由 「flowith 和它的朋友们」共同制作、收纳、整理，旨在为所有用户提供一个探索 AGENT 能力和学习如何使用 AGENT 的指南库。  结合目前在 2025 全球智能体创作大赛提交作品以及 flowith 用户对于 Oracle 的深度探索，我们将本案例合集分为三类供大家学习，他们分别是：📈研究工作类 AGENT，🎢生活娱乐类 AGENT，🧑🎓学


# flowith 2.0 - Your AI Creation Workspace, with Knowledge

*Where Ideas Flow:Interact with the world's most powerful AI in a way from the future flowith is your AI Creation Workspace that transforms knowledge. Through innovative interaction, it allows you to collaborate smoothly with AI, with ideas flowing like a vibrant spring.*

---

Where Ideas Flow:Interact with the world's most powerful AI in a way from the future flowith is your AI Creation Workspace that transforms knowledge. Through innovative interaction, it allows you to collaborate smoothly with AI, with ideas flowing like a vibrant spring.


# Advanced Tool Learning and Selection System (ATLASS): A Closed-Loop Framework Using LLM

*The combination of LLM agents with external tools enables models to solve complex tasks beyond their knowledge base. Human-designed tools are inflexible and restricted to solutions within the scope of pre-existing tools created by experts. To address this problem, we propose ATLASS, an advanced tool learning and selection system designed as a closed-loop framework. It enables the LLM to solve problems by dynamically generating external tools on demand. In this framework, agents play a crucial role in orchestrating tool selection, execution, and refinement, ensuring adaptive problem-solving capabilities. The operation of ATLASS follows three phases: The first phase, Understanding Tool Requirements, involves the Agents determining whether tools are required and specifying their functionality; the second phase, Tool Retrieval/Generation, involves the Agents retrieving or generating tools based on their availability; and the third phase, Task Solving, involves combining all the component tools necessary to complete the initial task. The Tool Dataset stores the generated tools, ensuring reusability and minimizing inference cost. Current LLM-based tool generation systems have difficulty creating complex tools that need APIs or external packages. In ATLASS, we solve the problem by automatically setting up the environment, fetching relevant API documentation online, and using a Python interpreter to create a reliable, versatile tool that works in a wider range of situations. OpenAI GPT-4.0 is used as the LLM agent, and safety and ethical concerns are handled through human feedback before executing generated code. By addressing the limitations of predefined toolsets and enhancing adaptability, ATLASS serves as a real-world solution that empowers users with dynamically generated tools for complex problem-solving.*

---

The combination of LLM agents with external tools enables models to solve complex tasks beyond their knowledge base. Human-designed tools are inflexible and restricted to solutions within the scope of pre-existing tools created by experts. To address this problem, we propose ATLASS, an advanced tool learning and selection system designed as a closed-loop framework. It enables the LLM to solve problems by dynamically generating external tools on demand. In this framework, agents play a crucial role in orchestrating tool selection, execution, and refinement, ensuring adaptive problem-solving capabilities. The operation of ATLASS follows three phases: The first phase, Understanding Tool Requirements, involves the Agents determining whether tools are required and specifying their functionality; the second phase, Tool Retrieval/Generation, involves the Agents retrieving or generating tools based on their availability; and the third phase, Task Solving, involves combining all the component tools necessary to complete the initial task. The Tool Dataset stores the generated tools, ensuring reusability and minimizing inference cost. Current LLM-based tool generation systems have difficulty creating complex tools that need APIs or external packages. In ATLASS, we solve the problem by automatically setting up the environment, fetching relevant API documentation online, and using a Python interpreter to create a reliable, versatile tool that works in a wider range of situations. OpenAI GPT-4.0 is used as the LLM agent, and safety and ethical concerns are handled through human feedback before executing generated code. By addressing the limitations of predefined toolsets and enhancing adaptability, ATLASS serves as a real-world solution that empowers users with dynamically generated tools for complex problem-solving.


# PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play

*Large language models (LLMs) are increasingly integrated with specialized external tools, yet many tasks demand zero-shot tool usage with minimal or noisy documentation. Existing solutions rely on manual rewriting or labeled data for validation, making them inapplicable in true zero-shot settings. To address these challenges, we propose PLAY2PROMPT, an automated framework that systematically "plays" with each tool to explore its input-output behaviors. Through this iterative trial-and-error process, PLAY2PROMPT refines tool documentation and generates usage examples without any labeled data. These examples not only guide LLM inference but also serve as validation to further enhance tool utilization. Extensive experiments on real-world tasks demonstrate that PLAY2PROMPT significantly improves zero-shot tool performance across both open and closed models, offering a scalable and effective solution for domain-specific tool integration.*

---

Large language models (LLMs) are increasingly integrated with specialized external tools, yet many tasks demand zero-shot tool usage with minimal or noisy documentation. Existing solutions rely on manual rewriting or labeled data for validation, making them inapplicable in true zero-shot settings. To address these challenges, we propose PLAY2PROMPT, an automated framework that systematically "plays" with each tool to explore its input-output behaviors. Through this iterative trial-and-error process, PLAY2PROMPT refines tool documentation and generates usage examples without any labeled data. These examples not only guide LLM inference but also serve as validation to further enhance tool utilization. Extensive experiments on real-world tasks demonstrate that PLAY2PROMPT significantly improves zero-shot tool performance across both open and closed models, offering a scalable and effective solution for domain-specific tool integration.


# DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal

*Large Language Models (LLMs) have revolutionized various domains, including natural language processing, data analysis, and software development, by enabling automation. In software engineering, LLM-powered coding agents have garnered significant attention due to their potential to automate complex development tasks, assist in debugging, and enhance productivity. However, existing approaches often struggle with sub-optimal decision-making, requiring either extensive manual intervention or inefficient compute scaling strategies. To improve coding agent performance, we present Dynamic Action Re-Sampling (DARS), a novel inference time compute scaling approach for coding agents, that is faster and more effective at recovering from sub-optimal decisions compared to baselines. While traditional agents either follow linear trajectories or rely on random sampling for scaling compute, our approach DARS works by branching out a trajectory at certain key decision points by taking an alternative action given the history of the trajectory and execution feedback of the previous attempt from that point. We evaluate our approach on SWE-Bench Lite benchmark, demonstrating that this scaling strategy achieves a pass@k score of 55% with Claude 3.5 Sonnet V2. Our framework achieves a pass@1 rate of 47%, outperforming state-of-the-art (SOTA) open-source frameworks.*

---

Large Language Models (LLMs) have revolutionized various domains, including natural language processing, data analysis, and software development, by enabling automation. In software engineering, LLM-powered coding agents have garnered significant attention due to their potential to automate complex development tasks, assist in debugging, and enhance productivity. However, existing approaches often struggle with sub-optimal decision-making, requiring either extensive manual intervention or inefficient compute scaling strategies. To improve coding agent performance, we present Dynamic Action Re-Sampling (DARS), a novel inference time compute scaling approach for coding agents, that is faster and more effective at recovering from sub-optimal decisions compared to baselines. While traditional agents either follow linear trajectories or rely on random sampling for scaling compute, our approach DARS works by branching out a trajectory at certain key decision points by taking an alternative action given the history of the trajectory and execution feedback of the previous attempt from that point. We evaluate our approach on SWE-Bench Lite benchmark, demonstrating that this scaling strategy achieves a pass@k score of 55% with Claude 3.5 Sonnet V2. Our framework achieves a pass@1 rate of 47%, outperforming state-of-the-art (SOTA) open-source frameworks.


Models - Bytez

Models - Bytez

# Models - Bytez

*Retrieve a list of available models for various tasks. Use the query parameter `task` to filter by task type, e.g. `chat`.*

---

Retrieve a list of available models for various tasks. Use the query parameter `task` to filter by task type, e.g. `chat`.


Claim PIP for ADHD

Claim PIP for ADHD

# Claim PIP for ADHD

*Get the benefits you're entitled to: help with personal independence payment (PIP), universal credit (UC), employment and support allowance (ESA),disability living allowance (DLA). Claims, assessments, reviews, appeals.*

---

Get the benefits you're entitled to: help with personal independence payment (PIP), universal credit (UC), employment and support allowance (ESA),disability living allowance (DLA). Claims, assessments, reviews, appeals.


apappascs/mcp-servers-hub: Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP servers, complete with features, documentation links, and contributors.

# [](https://github.com/)

Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP...

**Language:**  • **Stars:** 0 • **Forks:** 0

---

Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP...


(1) Sumit on X: "R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning Introduces a two-stage RL approach enabling LLMs to autonomously invoke search during reasoning. 📝https://t.co/NyAIv2c9NC 👨🏽💻https://t.co/OeUBTyqvW4" / X


# Here’s how I use LLMs to help me write code

*Online discussions about using Large Language Models to help write code inevitably produce comments from developers who’s experiences have been disappointing. They often ask what they’re doing wrong—how come some …*

---

Online discussions about using Large Language Models to help write code inevitably produce comments from developers who’s experiences have been disappointing. They often ask what they’re doing wrong—how come some …


Maestro

Maestro

# Maestro

*Simple end-to-end testing for Mobile and Web apps*

---

Simple end-to-end testing for Mobile and Web apps


hrithikkoduri/WebRover: WebRover is an autonomous AI agent designed to interpret user input and execute actions by interacting with web elements to accomplish tasks or answer questions. It leverages advanced language models and web automation tools to navigate the web, gather information, and provide structured responses based on the user's needs.

# [](https://github.com/)

WebRover is an autonomous AI agent designed to interpret user input and execute actions by interacting with web elements to accomplish tasks or answer questions. It leverages advanced language mode...

**Language:**  • **Stars:** 0 • **Forks:** 0

---

WebRover is an autonomous AI agent designed to interpret user input and execute actions by interacting with web elements to accomplish tasks or answer questions. It leverages advanced language mode...


strowk/synf: Development tool for Model Context Protocol servers

# [](https://github.com/)

Development tool for Model Context Protocol servers - strowk/synf

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Development tool for Model Context Protocol servers - strowk/synf


# Factory builds the Command Center for software development with OpenAI’s reasoning models

*Accelerating engineering cycles 20% with OpenAI.*

---

Accelerating engineering cycles 20% with OpenAI.


paper_without_code/tools/readpaper.py at main · phunterlau/paper_without_code

# [](https://github.com/)

LLM reads a paper and produce a working prototype. Contribute to phunterlau/paper_without_code development by creating an account on GitHub.

**Language:**  • **Stars:** 0 • **Forks:** 0

---

LLM reads a paper and produce a working prototype. Contribute to phunterlau/paper_without_code development by creating an account on GitHub.


convergence-ai/proxy-lite: A mini, open-weights, version of our Proxy assistant.

# [](https://github.com/)

A mini, open-weights, version of our Proxy assistant. - convergence-ai/proxy-lite

**Language:**  • **Stars:** 0 • **Forks:** 0

---

A mini, open-weights, version of our Proxy assistant. - convergence-ai/proxy-lite


browserbase/stagehand: An AI web browsing framework focused on simplicity and extensibility.

# [](https://github.com/)

An AI web browsing framework focused on simplicity and extensibility. - browserbase/stagehand

**Language:**  • **Stars:** 0 • **Forks:** 0

---

An AI web browsing framework focused on simplicity and extensibility. - browserbase/stagehand


# Smithery - Model Context Protocol Registry

*Extend your language models with capabilities with Model Context Protocol servers.*

---

Extend your language models with capabilities with Model Context Protocol servers.


jina-ai/node-DeepResearch: Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)

# [](https://github.com/)

Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget) - jina-ai/node-DeepResearch

**Language:**  • **Stars:** 0 • **Forks:** 0

---

Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget) - jina-ai/node-DeepResearch


xhguo7/SyncMind: SyncMind for Agent Out-of-Sync

# [](https://github.com/)

SyncMind for Agent Out-of-Sync. Contribute to xhguo7/SyncMind development by creating an account on GitHub.

**Language:**  • **Stars:** 0 • **Forks:** 0

---

SyncMind for Agent Out-of-Sync. Contribute to xhguo7/SyncMind development by creating an account on GitHub.


Claude Code overview - Anthropic

Claude Code overview - Anthropic

# Claude Code overview - Anthropic

*Learn about Claude Code, an agentic coding tool made by Anthropic. Currently in beta as a research preview.*

---

Learn about Claude Code, an agentic coding tool made by Anthropic. Currently in beta as a research preview.


claude-code/src/constants/prompts.ts at main · dnakov/claude-code

# [](https://github.com/)

claude-code full original source code from source maps - dnakov/claude-code

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---

claude-code full original source code from source maps - dnakov/claude-code


# [](https://github.com/)

Test Time Scaling with R1-based Models and MLX LM. GitHub Gist: instantly share code, notes, and snippets.

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Test Time Scaling with R1-based Models and MLX LM. GitHub Gist: instantly share code, notes, and snippets.


GRPO Llama-1B

GRPO Llama-1B

# [](https://github.com/)

GRPO Llama-1B. GitHub Gist: instantly share code, notes, and snippets.

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GRPO Llama-1B. GitHub Gist: instantly share code, notes, and snippets.


fabiodr’s gists

fabiodr’s gists

# [](https://github.com/)

GitHub Gist: star and fork fabiodr's gists by creating an account on GitHub.

**Language:**  • **Stars:** 0 • **Forks:** 0

---

GitHub Gist: star and fork fabiodr's gists by creating an account on GitHub.


Claude code prompts

Claude code prompts


# [](https://github.com/)

Unminified prompts and tool definitions for Claude Code - claude-code-prompts.js

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Unminified prompts and tool definitions for Claude Code - claude-code-prompts.js


# [](https://github.com/)

Use Meta Prompting to rapidly generate results in the GenAI Age - README.md

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Use Meta Prompting to rapidly generate results in the GenAI Age - README.md


Stargazers · agent_tool.js

Stargazers · agent_tool.js

# [](https://github.com/)

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

**Language:**  • **Stars:** 0 • **Forks:** 0

---

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.


agent_tool.js

agent_tool.js

# [](https://github.com/)

GitHub Gist: instantly share code, notes, and snippets.

**Language:**  • **Stars:** 0 • **Forks:** 0

---

GitHub Gist: instantly share code, notes, and snippets.


# [](https://github.com/)

Convert your twitter archive into a training dataset and markdown files - convert_archive.py

**Language:**  • **Stars:** 0 • **Forks:** 0

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Convert your twitter archive into a training dataset and markdown files - convert_archive.py


microsoft/PromptWizard: Task-Aware Agent-driven Prompt Optimization Framework

# [](https://github.com/)

Task-Aware Agent-driven Prompt Optimization Framework - microsoft/PromptWizard

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---

Task-Aware Agent-driven Prompt Optimization Framework - microsoft/PromptWizard


# Composio - Access 250+ apps in just one line of code

*Composio: Seamlessly integrate AI Agents & LLMs with 250+ tools. Build, connect, and deploy integrations for CRMs, HRMs, ticketing, productivity, and accounting systems with SOC Type II compliance. Experience powerful system tools and managed auth for secure data management. Trusted by engineers worldwide.*

---

Composio: Seamlessly integrate AI Agents & LLMs with 250+ tools. Build, connect, and deploy integrations for CRMs, HRMs, ticketing, productivity, and accounting systems with SOC Type II compliance. Experience powerful system tools and managed auth for secure data management. Trusted by engineers worldwide.


# Outcome-Refining Process Supervision for Code Generation

*Large Language Models have demonstrated remarkable capabilities in code generation, yet they often struggle with complex programming tasks that require deep algorithmic reasoning. While process...*

---

Large Language Models have demonstrated remarkable capabilities in code generation, yet they often struggle with complex programming tasks that require deep algorithmic reasoning. While process...


zhuohaoyu/ORPS

zhuohaoyu/ORPS

# [](https://github.com/)

Contribute to zhuohaoyu/ORPS development by creating an account on GitHub.

**Language:**  • **Stars:** 0 • **Forks:** 0

---

Contribute to zhuohaoyu/ORPS development by creating an account on GitHub.


# From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and...

*The rapid evolution of Large Language Models (LLMs) has outpaced the development of model evaluation, highlighting the need for continuous curation of new, challenging benchmarks. However, manual...*

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The rapid evolution of Large Language Models (LLMs) has outpaced the development of model evaluation, highlighting the need for continuous curation of new, challenging benchmarks. However, manual...


# SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative...

*Software engineering (SE) is increasingly collaborative, with developers working together on shared complex codebases. Effective collaboration in shared environments requires participants --...*

---

Software engineering (SE) is increasingly collaborative, with developers working together on shared complex codebases. Effective collaboration in shared environments requires participants --...


amazon-science/code-agent-eval: Implemental for the paper "Large Language Model Critics for Execution-Free Evaluation of Code Changes"

# [](https://github.com/)

Implemental for the paper "Large Language Model Critics for Execution-Free Evaluation of Code Changes" - amazon-science/code-agent-eval

**Language:**  • **Stars:** 0 • **Forks:** 0

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Implemental for the paper "Large Language Model Critics for Execution-Free Evaluation of Code Changes" - amazon-science/code-agent-eval


# Trainloop AI - Make Reasoning Models Work for Your Business

*Make reasoning models work for your business. Turn powerful but generic models into reliable domain experts while preventing harmful outputs.*

---

Make reasoning models work for your business. Turn powerful but generic models into reliable domain experts while preventing harmful outputs.


sani903/InteractiveSWEAgents: Evaluating Agents under Ambiguous settings for SWE tasks

# [](https://github.com/)

Evaluating Agents under Ambiguous settings for SWE tasks - sani903/InteractiveSWEAgents

**Language:**  • **Stars:** 0 • **Forks:** 0

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Evaluating Agents under Ambiguous settings for SWE tasks - sani903/InteractiveSWEAgents


swirlai/swirl-search: AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

# [](https://github.com/)

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months. - swirlai/swirl-search

**Language:**  • **Stars:** 0 • **Forks:** 0

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AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months. - swirlai/swirl-search


# Introducing Deep Research for Your Multi-Modal Data

*A More Accurate, Flexible, and Multi-Modal Knowledge Agents for Your Private & Public Data.  Deep Thinking is Available Today to Everyone.*

---

A More Accurate, Flexible, and Multi-Modal Knowledge Agents for Your Private & Public Data.  Deep Thinking is Available Today to Everyone.


2412

2412


AkariAsai/OpenScholar: This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.

# [](https://github.com/)

This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.  - AkariAsai/OpenScholar: This repository includes the official...

**Language:**  • **Stars:** 0 • **Forks:** 0

---

This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.  - AkariAsai/OpenScholar: This repository includes the official...


zou-group/sirius: SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning

# [](https://github.com/)

SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning - zou-group/sirius

**Language:**  • **Stars:** 0 • **Forks:** 0

---

SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning - zou-group/sirius


Jina DeepSearch

Jina DeepSearch

# Jina DeepSearch

*Search, read and reason until best answer found.*

---

Search, read and reason until best answer found.


Convergence.ai

Convergence is an AI research lab

Convergence.ai

Convergence is an AI research lab

# Convergence.ai

*Convergence is an AI research lab*

---

Convergence is an AI research lab


# Work AI for all - AI platform for agents, assistant, search

*Glean is the Work AI platform connected to your enterprise's data. Find, create, and automate anything. Explore what Work AI can do for you!*

---

Glean is the Work AI platform connected to your enterprise's data. Find, create, and automate anything. Explore what Work AI can do for you!


# LLM-Assisted Code Cleaning For Training Accurate Code Generators

*Natural language to code generation is an important application area of LLMs and has received wide attention from the community. The majority of relevant studies have exclusively concentrated on...*

---

Natural language to code generation is an important application area of LLMs and has received wide attention from the community. The majority of relevant studies have exclusively concentrated on...


lightning-rod-labs/sculptor: Sculptor: Structuring unstructured data with LLMs

# [](https://github.com/)

Sculptor: Structuring unstructured data with LLMs.

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---

Sculptor: Structuring unstructured data with LLMs.


curvelaboratory/Curve: Turn simple APIs into powerful AI agents. Curve sits between your apps and AI services, making everything work together seamlessly.

# [](https://github.com/)

Turn simple APIs into powerful AI agents. Curve sits between your apps and AI services, making everything work together seamlessly. - curvelaboratory/Curve

**Language:**  • **Stars:** 0 • **Forks:** 0

---

Turn simple APIs into powerful AI agents. Curve sits between your apps and AI services, making everything work together seamlessly. - curvelaboratory/Curve


The sessionless code interpreter

The sessionless code interpreter

# foreverVM: The sessionless code interpreter

*The sessionless code interpreter*

---

The sessionless code interpreter


a0.dev

Create apps from text descriptions

a0.dev

Create apps from text descriptions

# a0.dev

*Create apps from text descriptions*

---

Create apps from text descriptions


(17) shadcn on X: "We have also improved the init command. It now does framework detection and can initialize a brand new Next.js app and install components and routes in a single command. Go from new app to a dashboard with a sidebar and login pages in just one command. https://t.co/K7LXTfsgWi" / X

framework detection and can initialize a brand new Next.js app and install components and routes in a single command.

Go from new app to a dashboard with a sidebar and login pages in just one command.
— shadcn (@shadcn)


(18) x˙ = ax − bxy | y˙ = cxy − dy (@_Anthony_Jacob_) / X


treehouse

treehouse

# treehouse

*All in One Bookmark Manager. For your inspiration, read later, media and stuff.*

---

All in One Bookmark Manager. For your inspiration, read later, media and stuff.


Sign Up – Vercel

Sign Up – Vercel


(18) shadcn (@shadcn) / X

(18) shadcn (@shadcn) / X


Next.js Book Inventory

Next.js Book Inventory

# Next.js Book Inventory

*An example of searching, filtering, and pagination.*

---

An example of searching, filtering, and pagination.


Book Inventory — Next.js App Router

View 2 million books from Goodreads.

Book Inventory — Next.js App Router

View 2 million books from Goodreads.

# Book Inventory — Next.js App Router

*View 2 million books from Goodreads.*

---

View 2 million books from Goodreads.


Book Inventory — Next.js App Router

View 2 million books from Goodreads.

Book Inventory — Next.js App Router

View 2 million books from Goodreads.


www-treehouse – Deployment Overview

www-treehouse – Deployment Overview


(18) Daily Dose of Data Science on X: "Web scraping will never be the same! Crawl4AI simplifies web crawling and data extraction, making it ready to use for LLMs and AI applications. Here’s why it’s a game-changer: 🆓 Free and open-source 🚀 Blazing fast performance, 🤖 LLM-friendly output formats (JSON, cleaned https://t.co/s2rPlox46u" / X

Crawl4AI simplifies web crawling and data extraction, making it ready to use for LLMs and AI applications.

Here’s why it’s a game-changer:

🆓 Free and open-source
🚀 Blazing fast performance,
🤖 LLM-friendly output formats (JSON, cleaned…
— Daily Dose of Data Science (@DailyDoseOfDS_)


j-94/www-treehouse

j-94/www-treehouse


crawl4ai-quickstart.ipynb - Colab

crawl4ai-quickstart.ipynb - Colab


# Standalone python script with uv | paulw.tokyo

*is a neat package manager, which took off last year in python land. Being  immediately gives it +100 street credibility.  As it supports reading  (see ) i...*

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is a neat package manager, which took off last year in python land. Being  immediately gives it +100 street credibility.  As it supports reading  (see ) i...


embedanything-x-colpali.ipynb - Colab

embedanything-x-colpali.ipynb - Colab


# Create your Google Sitemap Online - XML Sitemaps Generator

*Free Online Google Sitemap Generator. XML-sitemaps.com provides free online sitemap generator service, creating an XML sitemap that can be submitted to Google, Bing and other search engines to help them crawl your website better. It will also generate an HTML site map to allow your website visitors to navigate easier.*

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Free Online Google Sitemap Generator. XML-sitemaps.com provides free online sitemap generator service, creating an XML sitemap that can be submitted to Google, Bing and other search engines to help them crawl your website better. It will also generate an HTML site map to allow your website visitors to navigate easier.


# ร้านกัญชาใกล้ฉัน เดินดง ทรงพลัง420 in Bangkok, Thailand - Cannabis in Thailand

*Cannabis shop listing for ร้านกัญชาใกล้ฉัน เดินดง ทรงพลัง420 which is in Bangkok, Thailand. ร้านกัญชาใกล้ฉัน เดินดง ทรงพลัง420 has a rating of 5.00/5.0, and 2 reviews. You can also view the available cannabis products at ร้านกัญชาใกล้ฉัน เดินดง ทรงพลัง420, and even find other shops near ร้านกัญชาใกล้ฉัน เดินดง ทรงพลัง420.*

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Cannabis shop listing for ร้านกัญชาใกล้ฉัน เดินดง ทรงพลัง420 which is in Bangkok, Thailand. ร้านกัญชาใกล้ฉัน เดินดง ทรงพลัง420 has a rating of 5.00/5.0, and 2 reviews. You can also view the available cannabis products at ร้านกัญชาใกล้ฉัน เดินดง ทรงพลัง420, and even find other shops near ร้านกัญชาใกล้ฉัน เดินดง ทรงพลัง420.


Gemini

Gemini

# Gemini

*Bard is now Gemini. Get help with writing, planning, learning, and more from Google AI.*

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Bard is now Gemini. Get help with writing, planning, learning, and more from Google AI.


taxonmy - Google Search

taxonmy - Google Search


WhatsApp

WhatsApp

# WhatsApp

*Quickly send and receive WhatsApp messages right from your computer.*

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Quickly send and receive WhatsApp messages right from your computer.


Next.js Book Inventory

Next.js Book Inventory


Extract - Firecrawl

Extract - Firecrawl

# Extract - Firecrawl

*Get structured data from entire websites with just a prompt.*

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Get structured data from entire websites with just a prompt.


Firecrawl

Turn any website into LLM-ready data.

Firecrawl

Turn any website into LLM-ready data.

# Firecrawl

*Turn any website into LLM-ready data.*

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Turn any website into LLM-ready data.


# The easiest way to setup google maps in next.js - YouTube

*📘 T3 Stack Tutorial: https://1017897100294.gumroad.com/l/jipjfm
🤖 SaaS I'm Building: https://www.icongeneratorai.com/

💬 Discord: https://discord.gg/4kGbBaa
🔔 Newsletter: https://newsletter.webdevcody.com/
📁 GitHub: https://github.com/webdevcody
📺 Twitch: https://www.twitch.tv/webdevcody
🤖 Website: https://webdevcody.com
🐦 Twitter: https://twitter.com/webdevcody*

---

📘 T3 Stack Tutorial: https://1017897100294.gumroad.com/l/jipjfm
🤖 SaaS I'm Building: https://www.icongeneratorai.com/

💬 Discord: https://discord.gg/4kGbBaa
🔔 Newsletter: https://newsletter.webdevcody.com/
📁 GitHub: https://github.com/webdevcody
📺 Twitch: https://www.twitch.tv/webdevcody
🤖 Website: https://webdevcody.com
🐦 Twitter: https://twitter.com/webdevcody


shadcn google map nextjs places - Google Search


intro-to-lotus.ipynb - Colab

intro-to-lotus.ipynb - Colab


# is popular repo that Google Maps uses internal API endpoints to load data (usually returning JSON). A developer might inspect network requests when a typical search is performed on the maps website to identify these endpoints. Then they can attempt to replicate the necessary requests (including generating or capturing any required tokens or parameters)

*Perplexity is a free AI-powered answer engine that provides accurate, trusted, and real-time answers to any question.*

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Perplexity is a free AI-powered answer engine that provides accurate, trusted, and real-time answers to any question.


Business Search

Business Search

# Business Search

*This API searches Google Places for business information based on category and location. Search for restaurants in Los Angeles, CA and it will return a list of restaurants matching that location, the address, phone number, website address, lat and long, and reviews.*

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This API searches Google Places for business information based on category and location. Search for restaurants in Los Angeles, CA and it will return a list of restaurants matching that location, the address, phone number, website address, lat and long, and reviews.


We’ve made it easier to use shadcn/ui in monorepos.

The CLI now understands your workspaces, installs components and dependencies in the right packages, and handles import resolution for you.
— shadcn (@shadcn)


Introduction – Kirimase

Introduction – Kirimase


codeassi.st

codeassi.st


I managed to generate the following UI in about 1-2 hours of work using their product including setting up all the dependencies from scratch with 's ui package. The design itself is based off…
— Ivan Leo (@ivanleomk)


PatrickJS/awesome-cursorrules: 📄 A curated list of awesome .cursorrules files

# [](https://github.com/)

📄 A curated list of awesome .cursorrules files.

**Language:**  • **Stars:** 0 • **Forks:** 0

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📄 A curated list of awesome .cursorrules files.


But I went with what I know, and what can make the work done ASAP with

Domain:
Landing page:
Web app Frontend:  no Typescript.
Style:  UI and …
— Sidi jeddou (@sidi_jeddou_dev)


It's an AI CLI that generates a full stack app for you.

It has a tonne baked in including , , , , , .

Built on top of the awesome Kirimase by .
— Elie Steinbock (@elie2222)


x.com/xavimonp/status/1713968298881118678?s=12

Generate visually stunning READMEs with the help of IA.

Built with:
-  - KV for rate limiting, IA sdk, analytics.
-  - app router, route handlers.
-  - UI
— Xavi A. (@xavimonp)


Built using  UI and 's geist font (my new favorite font)! Also added an email verification flow using  & .

Check it out now 👉
— jack (@abinaryorbit)


◆ Updated to Next.js 13.3
◆ Implemented route handlers
◆ Added file-based metadata
◆ Updated NextAuth, Tailwind & Contentlayer
◆ Dark mode & new components
◆ Cleaned up the design
— shadcn (@shadcn)


How fast?

Watch as I build a 'pay-to-tweet' app (using , , ,  UI, , and ) in just 5 minutes 🤯
— Nico Albanese (@nicoalbanese10)


Explore all of the existing themes or create your own and share them with the community 🚀

Let me know what else you want to see!
— Julian 🔶 (@jlndev)


Using:
- Parallel & intercepting routes
- File uploading with  's UploadThing
- Drizzle ORM
- Clerk for authentication
More to come.
— Jack (@jackblatch_)


Here is an example querying the  documentation.

Soon to be available in the Mendable Chatbot Next.js starter template:
— Nicolas Camara (@nickscamara_)


Drop your links below. Thank you.
— shadcn (@shadcn)


Recently we gave him a preview of the new .

We’ll share more soon as we enter into the developer space. 🪄 🌐.

also this may be relevant 👀
— Sidd (@SiddDevs)


— shadcn (@shadcn)

— shadcn (@shadcn)


Simple and modern 😎
— SOHEIL (@soheil_prog)


# Component Explorer: all Shadcn components, themes & fonts | Make custom Next.js codebases with an MDX blog, TypeScript and Shadcn UI

*View, interact and search for any component from the Shipixen & Shadcn UI library. Select themes, fonts andsSee code examples of all Shadcn UI components.*

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View, interact and search for any component from the Shipixen & Shadcn UI library. Select themes, fonts andsSee code examples of all Shadcn UI components.


framework detection and can initialize a brand new Next.js app and install components and routes in a single command.

Go from new app to a dashboard with a sidebar and login pages in just one command.
— shadcn (@shadcn)


birobirobiro/awesome-shadcn-ui: A curated list of awesome things related to shadcn/ui.

# [](https://github.com/)

A curated list of awesome things related to shadcn/ui. - birobirobiro/awesome-shadcn-ui

**Language:**  • **Stars:** 0 • **Forks:** 0

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A curated list of awesome things related to shadcn/ui. - birobirobiro/awesome-shadcn-ui


# Toolfolio - All the Tools You Need in One Place

*Toolfolio helps you find the best tools for productivity, creativity, and design. Explore top solutions for startups, social media, AI, and more to optimize your workflow.*

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Toolfolio helps you find the best tools for productivity, creativity, and design. Explore top solutions for startups, social media, AI, and more to optimize your workflow.


Marblism - AI Agents that work for you

Marblism - AI Agents that work for you

# Marblism - AI Agents that work for you

*The Leading Platform to Build and Deploy AI Agents. Automate workflows across industries with powerful AI agents.*

---

The Leading Platform to Build and Deploy AI Agents. Automate workflows across industries with powerful AI agents.


(18) Jason Zhou on X: "Easiest way to train Cursor build fancy UI: - Find good component on https://t.co/wCsNVG5Q3Z - Copy & Paste prompt in @cursor_ai https://t.co/nEkQxp0iTY" / X

- Find good component on
- Copy & Paste prompt in
— Jason Zhou (@jasonzhou1993)


(17) zack (in SF) on X: "Inspired by John Carmack's .plan files, the past 3 years I've made todo files for every project And today it finally paid off 6 months ago I was in the middle of a refactor but set it aside Today I wanted to finish it, but forgot all context, but I had all my steps and notes https://t.co/eFD2pFO7sK" / X

And today it finally paid off

6 months ago I was in the middle of a refactor but set it aside

Today I wanted to finish it, but forgot all context, but I had all my steps and notes
— zack (in SF) (@zack_overflow)


21st.dev – The NPM for Design Engineers

21st.dev – The NPM for Design Engineers

# 21st.dev – The NPM for Design Engineers

*Ship polished UIs faster with ready-to-use React Tailwind components inspired by shadcn/ui. Built by design engineers, for design engineers.*

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Ship polished UIs faster with ready-to-use React Tailwind components inspired by shadcn/ui. Built by design engineers, for design engineers.


X

I've began using it for leading generation and data enrichment processes

> Launches multiple browser sessions at once with
> Goes to websites, collects information, and formats a…
— AP (@alexdphan)

X


(17) Robert Lukoszko on X: "Introducing Ambient Context Aware AI on your computer. I have just scraped the whole Discord with it and made a summary of pain points ppl have Features: - Sees the whole screen ( even parts you need to scroll to) - long context window - Has memory Link: https://t.co/NhBXrnquZY" / X

Context Aware AI on your computer.
I have just scraped the whole Discord with it and made a summary of pain points ppl have
Features:
- Sees the whole screen ( even parts you need to scroll to)
- long context window
- Has memory
Link:
— Robert Lukoszko (@Karmedge)


starpig1129/AI-Data-Analysis-MultiAgent: AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation, data analysis, visualization, and report writing. Perfect for researchers and data scientists seeking to enhance their workflow and productivity.

# [](https://github.com/)

AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation,...

**Language:**  • **Stars:** 0 • **Forks:** 0

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AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation,...


This may use some improvements and dependent on quality of search results.

how to use:
1) just paste the rules to cursorrules file
2) paste the web search code in…
— echo.hive (@hive_echo)


This project leverages LangGraph to create a powerful tool for automated content generation. It breaks down complex writing tasks into manageable steps, including planning, writing, and refining content
— LangChain (@LangChainAI)


s-smits/agentic-cursorrules: A practical approach to managing multiple AI agents in Cursor through strict file-tree partitioning and domain boundaries.

# [](https://github.com/)

A practical approach to managing multiple AI agents in Cursor through strict file-tree partitioning and domain boundaries. - s-smits/agentic-cursorrules

**Language:**  • **Stars:** 0 • **Forks:** 0

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A practical approach to managing multiple AI agents in Cursor through strict file-tree partitioning and domain boundaries. - s-smits/agentic-cursorrules


Github x Pinterest for shadcn/ui components that grew 5x in weekly users in the last 8 days

But without these companies, it would've taken months to build 🤯

👏 Shoutouts to
•  for Sandpack
• design engineers:…
— Daniel Dhawan (@daniel_dhawan)


satnaing/shadcn-admin: Admin Dashboard UI built with Shadcn and Vite.

# [](https://github.com/)

Admin Dashboard UI built with Shadcn and Vite.

**Language:**  • **Stars:** 0 • **Forks:** 0

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Admin Dashboard UI built with Shadcn and Vite.


So here it is.
— Pietro Schirano (@skirano)


ScrapeGraphAI is a web scraping library that uses LLMs to scape websites and local documents (XML, HTML, JSON, Markdown, etc

Just say which information you want to extract and the library will do it for you!
— LangChain (@LangChainAI)


Transform websites into LLM-ready research material with this intelligent agent. Built with LangGraph and LangSmith, it powers automated documentation indexing while seamlessly connecting to X and Slack through Arcade integration.

Learn more:…
— LangChain (@LangChainAI)


The era of writing web scrapers is over. Write a prompt, get web data. That's it.

Now in open beta with 500K free tokens 🔥
— Firecrawl (@firecrawl_dev)


Congrats on the launch  + !
— Y Combinator (@ycombinator)


Welcome to FluidAPI, is an all-new agent-powered framework that allows you to interact with APIs using natural language. No more JSON, headers, or complex formats—simply describe your request in plain English, and FluidAPI will do the rest.

Github:…
— Kye Gomez (Hiring) (@KyeGomezB)


It refines an objective, crawls, and extracts structured data from any website.

Built with  and 's new extract beta endpoint 👀

Check it out:
— Eric Ciarla (@ericciarla)


Here how I'm using Caret to turn the raw collection into something useful:
— Jake Colling (@JacobColling)


💠you to write a super simple agent_design file (image 1). you can  define both sequential and parallel LLM logic(more on this below) as well as loops quickly & simply
💠 Cursor generates flowchart(image 2) and…
— echo.hive (@hive_echo)


— 👩💻 Paige Bailey (@DynamicWebPaige)

— 👩💻 Paige Bailey (@DynamicWebPaige)


We'll support it as a standalone tool, API, and integrate its search engine into  & the  platform.
— Guillermo Rauch (@rauchg)


It unlocks enterprise expertise for employees with agents that bring together Gemini’s advanced reasoning, Google-quality search, and enterprise data, regardless of where it’s hosted.

Here are three ways Agentspace unlocks enterprise expertise ↓
— Google Cloud (@googlecloud)


An innovative AI-powered tool designed to help you create comprehensive books about Wardley Mapping—from strategy to execution—with just a few clicks.

🔥 Beta Release – Limited version available now!
🔗 Try it here:…
— Mark 🇺🇳 (@mcraddock)


— Flo Crivello (@Altimor)

— Flo Crivello (@Altimor)


# Founding Sales: The Early-Stage Go-To-Market Handbook — Holloway

*A detailed and tactical guide to accelerate learning and success on the early-stage sales journey, from founder to early salesperson to sales leadership. Written by a sales expert for startup founders and first-time sales staff.*

---

A detailed and tactical guide to accelerate learning and success on the early-stage sales journey, from founder to early salesperson to sales leadership. Written by a sales expert for startup founders and first-time sales staff.


x.com/Anthony_Jacob?prefetchTimestamp=1738593042437&mx=2


They submit bugs and ideas for new features in the board below, and I work on them and then mark them as ✅ Complete

I really like this setup, kinda like direct democracy for startups
— @levelsio (@levelsio)


# Bringing AI Agents to Enterprises with Google Agentspace | Google Cloud Blog

*Today, we’re announcing the launch of Agentspace to unlock enterprise expertise for employees with agents that bring together Gemini’s advanced reasoning, Google-quality search, and enterprise data.*

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Today, we’re announcing the launch of Agentspace to unlock enterprise expertise for employees with agents that bring together Gemini’s advanced reasoning, Google-quality search, and enterprise data.


🔍 Detects changes in translation keys via Git diff
🎨 Ensures consistent tone and style
🔓 100% open source and free
🌐 Works with all major i18n libraries

Link and some background ⬇🧵
— Pontus Abrahamsson — oss/acc (@pontusab)


It's like a smart kid who can code but doesn't know the best practices of code.

You need to tell AI what exactly you want:
- web app?
- features?
- structure?
etc

Here's how you can make AI your full stack developer:
🧵
— Cj Z 🎯 (@cj_zZZz)


generate a step-by-step blueprint!

today's project: 9 hrs from idea to demo : )
ft.
— floguo (@floguo)


You have an Idea to turn into Software?

Use CodeGuide to turn that idea into proper developments documentation for AI coding models.

AI Coding = Detailed Context + Clear Prompting.

Build web apps, mobile apps, landing pages, extentions...
— Cj Z 🎯 (@cj_zZZz)