We build the context layer for AI — infrastructure that makes agents efficient, predictable, and human-friendly. 🧵
Knitli is rethinking how humans and AI work together. Today’s AI agents are powerful but wasteful — constantly re-reading the same information, burning tokens on repetitive tasks (💲💲🪙), and struggling with context.
We’re building tools that give AI agents and humans the right context — so both can work faster, smarter, and with less waste.
A world where AI fits seamlessly into human workflows. No prompt engineering. No repetitive context or information overload. Just tools that make sense for humans and agents. 🤖👩🎨
- Context is king – everything starts with the right information at the right time.
- Humans first – design for people, not prompts. Technology should solve real problems without causing new ones.
- Build in the open – our core is and will always be open source.
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Context Layer SDK – core libraries and APIs to feed structured, predictive, context to AI agents.
- CodeWeaver – a tailored context delivery platform, appearing as an MCP server.
- Thread – a platform-agnostic, real-time codebase intelligence engine using graphs + ASTs to keep agents continuously and correctly informed.
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UI Experiments – early explorations to make powerful tools intuitive for non-technical users.
- Star ⭐ or watch this org, and our repos.
- Collaboration, ideas, and feedback welcome! Post an issue, start a discussion, or email us.
- Reach out: website • LinkedIn
Knitli is currently in active development. Interested in collaborating, sponsoring, or contributing? Get in touch.