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Production AI agents: hard budget limits, semantic caching, multi-agent teams, MCP tools.

Install · Quickstart · Examples · llms.txt · Contributing

Helix gives you agents that actually behave in production: hard budget limits, semantic caching for repeated queries, opt-in persistent memory (SQLite, zero extra dependency), MCP tool support, agent handoffs, multi-agent teams, YAML-based task pipelines, a LangGraph-compatible StateGraph, and a 6-scorer eval suite. It works out of the box with OpenAI, Anthropic, Gemini, Groq, Mistral, and 8 other providers.

The import helix API is intentionally close to what you already know from AutoGen, CrewAI, and LangGraph, but with the production layer those frameworks leave to you: cost governance, caching, memory, observability, and safety controls.