File size: 1,539 Bytes
cfc13c7
5bc8ca1
 
 
 
cfc13c7
5bc8ca1
cfc13c7
 
37ef6a2
5bc8ca1
00b74f6
cfc13c7
 
5bc8ca1
cfc13c7
5bc8ca1
cfc13c7
5bc8ca1
cfc13c7
5bc8ca1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
cfc13c7
37ef6a2
cfc13c7
5bc8ca1
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
---
title: Slipstream Lab
emoji: 🧭
colorFrom: yellow
colorTo: gray
sdk: gradio
sdk_version: 6.5.1
app_file: app.py
pinned: false
license: apache-2.0
short_description: "CPU-first technical companion for Slipstream 3.1.1"
thumbnail: "https://huggingface.co/spaces/anthonym21/slipcore/raw/main/assets/slipstream-social-card.svg"
---

# Slipstream Lab

Technical companion Space for Slipstream `3.1.1`.

This Space is intentionally different from [slipstream.making-minds.ai](https://slipstream.making-minds.ai):

- the website explains and promotes the release
- this Space helps engineers inspect the shipped protocol and adoption path

## Tabs

- `Overview`: release metrics and links
- `UCR Explorer`: browse the 45 core anchors
- `Conformance Lab`: validate and parse real `SLIP v3` wires
- `LangGraph Starter`: copy-paste integration snippets
- `Dataset / Model`: understand when training is optional and when it helps

## Runtime model

- CPU-first
- ZeroGPU-compatible
- no live model inference
- no training workflow

## Resources

- Website: [slipstream.making-minds.ai](https://slipstream.making-minds.ai)
- GitHub: [anthony-maio/slipcore](https://github.com/anthony-maio/slipcore)
- PyPI: [slipcore](https://pypi.org/project/slipcore/)
- Paper: [doi.org/10.5281/zenodo.18063451](https://doi.org/10.5281/zenodo.18063451)
- Dataset: [anthonym21/slipstream-tqt](https://huggingface.co/datasets/anthonym21/slipstream-tqt)
- Reference model: [anthonym21/slipstream-glm-z1-9b](https://huggingface.co/anthonym21/slipstream-glm-z1-9b)