> ## Documentation Index
> Fetch the complete documentation index at: https://framework.beeai.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Welcome to the BeeAI Framework

> Build reliable and production-ready multi-agent systems with our lightweight framework in Python or TypeScript

**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.

## Key Features

| **Feature**                       | **Description**                                                                                                                          |
| :-------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------- |
| **Production Optimization**       | Built-in caching, memory optimization, and resource management for scalable deployment                                                   |
| **Agents with Constraints**       | Preserve your agent's reasoning abilities while enforcing deterministic rules instead of suggesting behavior                             |
| **Dynamic Workflows**             | Use simple decorators to design multi-agent systems with advanced patterns like parallelism, retries, and replanning                     |
| **Declarative Orchestration**     | Define complex agent systems in YAML for more predictable and maintainable orchestration                                                 |
| **Pluggable Observability**       | Integrate with your existing stack in minutes with native OpenTelemetry support for real-time monitoring, auditing, and detailed tracing |
| **MCP and A2A Native**            | Build MCP-compatible components, equip agents with MCP tools, and interoperate with any MCP or A2A agent system                          |
| **Provider Agnostic**             | Supports 10+ LLM providers including Ollama, Groq, OpenAI, Watsonx.ai, and more with seamless switching                                  |
| **Python and TypeScript Support** | Complete feature parity between Python and TypeScript implementations lets teams build with the tools they already know and love         |

***

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