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.

• 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.

• 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.