control and agency without compromise

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  • Dynamic workflowsUse simple decorators to design multi-agent systems with advanced patterns like parallelism, retries, and replanning.
  • Agents with constraintsPreserve your agent's reasoning abilities while enforcing deterministic rules instead of suggesting behavior.
  • 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 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.
BeeAI UI & CLI
  • 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.