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Documentation Index

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BeeAI Framework is an open-source framework for building production-grade multi-agent systems. It is hosted by the Linux Foundation under open governance, ensuring transparency, community-driven development, and enterprise-grade stability. BeeAI goes beyond simple prompting by providing a lightweight yet powerful approach to reliable agent development, with built-in constraint enforcement and rule-based governance that preserves reasoning abilities while ensuring predictable behavior. The BeeAI Framework provides the flexibility and performance needed for scalable AI systems, supporting both Python and TypeScript with complete feature parity.

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Key Features

FeatureDescription
Production OptimizationBuilt-in caching, memory optimization, and resource management for scalable deployment
Agents with ConstraintsPreserve your agent’s reasoning abilities while enforcing deterministic rules instead of suggesting behavior
Dynamic WorkflowsUse simple decorators to design multi-agent systems with advanced patterns like parallelism, retries, and replanning
Declarative OrchestrationDefine complex agent systems in YAML for more predictable and maintainable orchestration
Pluggable ObservabilityIntegrate with your existing stack in minutes with native OpenTelemetry support for real-time monitoring, auditing, and detailed tracing
MCP and A2A NativeBuild MCP-compatible components, equip agents with MCP tools, and interoperate with any MCP or A2A agent system
Provider AgnosticSupports 10+ LLM providers including Ollama, Groq, OpenAI, Watsonx.ai, and more with seamless switching
Python and TypeScript SupportComplete feature parity between Python and TypeScript implementations lets teams build with the tools they already know and love

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