Ecosystem

A series of Linux Foundation projects advancing AI agents

BeeAI Framework

Build reliable, intelligent agents with our lightweight framework that goes beyond prompting and enforces rules.

Extensible event-driven middlewareHook into agent execution events to add logging, safety checks, or custom behavior consistently across all components without modifying code.
Agents with constraintsPreserve your agent's reasoning abilities while enforcing deterministic rules instead of suggesting behavior.
Built-in memory managementSwap between unbounded, summarized, or token-controlled memory implementations. Configure what to remember without changing agent code.
Pluggable observabilityIntegrate with your existing stack in minutes with native OpenTelemetry support for auditing and monitoring.
Python and Typescript supportFeature parity between Python and TypeScript lets teams build with the tools they already know and love.
MCP and A2A nativeBuild MCP-compatible components, equip agents with MCP tools, and interoperate with any MCP or A2A agent.

Deploy and share agents with open infrastructure, free from framework or vendor lock-in.

Instant agent UIGenerate a shareable front-end from your code in minutes. Focus on your agent's logic, not UI frameworks.
Effortless deploymentGo from container to production-ready. We handle database, storage, scaling, and RAG so you can focus on your agent.
Multi-provider playgroundTest across OpenAI, Anthropic, Gemini, IBM watsonx, Ollama and more. Instantly compare performance and cost to find the optimal model.
Framework-agnosticRun agents from LangChain, CrewAI, BeeAI and more on a single platform. Enable cross-framework collaboration without rewriting your code.