Thinking Machines Technologies

Thinking Machines Technologies is an early-stage AI research and development organization. Our goal is to create autonomous artificial intelligence: models and agents that can reason, plan, use tools, remember context, and act over long horizons with minimal human intervention.

We are AI-first. Robotics and mechatronics are studied only as adjacent application contexts where they help us test autonomous agents in the real world; they are not the core focus of the organization.

Mission

Build autonomous AI agents that are capable, honest, and free from default over-censorship.

We use an internal 2H principle:

• Helpful — the agent should actually solve problems and complete tasks.
• Honest — the agent should not deceive, hallucinate deliberately, or hide its reasoning when transparency is required.

We do not adopt the third “H” — an unconditional safety-first constraint — as a hard limit on research. Instead, we handle risk through evaluation, documentation, transparency, and human responsibility. Our aim is not lawlessness or malicious use; it is to avoid broad pre-emptive refusals that block legitimate research, tool use, and autonomous operation.

Focus areas

• Autonomous agents: planning, memory, tool use, long-horizon task execution, and self-directed behavior.
• Open AI models and tooling: models, datasets, evaluation scripts, and agent frameworks that we can share.
• Capability research: reasoning, control, interaction, and reliable autonomous operation.
• Evaluation and transparency: understanding what agents actually do, where they fail, and how to make their behavior inspectable.

Reference direction

Our target capability profile is a Claude Mythos-like assistant agent: strong reasoning, tool use, memory, planning, and autonomous execution. We use this as a capability reference only; we are an independent organization and are not affiliated with Thinking Machines Lab, Anthropic, or Claude.

What we do

We work on applied research and engineering: from prototypes and experiments to working agent systems. We share models, datasets, tools, and notes here when we can.

Open collaboration

We are a student- and enthusiast-driven team. We are looking for like-minded people who want to build autonomous AI agents for the sake of the work itself: AI, agent architectures, tooling, evaluation, and open research.

If you are interested in contributing, open an issue, start a discussion, or contact us.