A Lisp with first-class LLM primitives, implemented in Rust

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

Real time communication for agents. Wake on message, channels, DMs and actions. Useful for orchestrating agents.

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

TypeScript multi-agent framework that runs in your own environment: consequential actions wait for approval and every run leaves a verifiable record. Describe the goal, not the graph. 13 built-in providers (Claude, OpenAI, Gemini, DeepSeek and more) plus any OpenAI-compatible endpoint, local models included.