BeeAI
Discover, run, and compose AI agents
Open-source platform developed by IBM that connects AI agents built in different languages through a unified interface. Includes agent catalog, workflow creation functionality, and developer tools. Compatible with multiple frameworks.
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RegistrationWhat is BeeAI?
BeeAI is an open-source platform developed by IBM Research that facilitates the discovery, execution, and composition of artificial intelligence agents from any framework and programming language. Its framework-agnostic architecture enables connections between agents from different implementations through a unified interface that manages communication protocols and data transformations.
The platform uses a modular system to build complex workflows by connecting specialized agents. This multi-agent approach simulates human team collaboration, allowing both concurrent and sequential task execution. BeeAI includes a catalog of ready-to-use agents with search and provider filtering capabilities.
For developers, BeeAI provides Python and TypeScript SDKs that allow creating custom agents focusing on core logic while the framework handles common aspects. Distributed under Apache 2.0 license, the system is implemented in TypeScript and Python.
BeeAI agents, called "bees," connect to large language models (LLMs) and can access tools to respond to queries and execute tasks. These agents have the ability to reflect on their actions and develop new approaches.
The platform is oriented toward organizations that need AI solutions for specific problems, workflow coding with LLMs, and specialized tools to enhance employees' operational capabilities in business environments.
The platform uses a modular system to build complex workflows by connecting specialized agents. This multi-agent approach simulates human team collaboration, allowing both concurrent and sequential task execution. BeeAI includes a catalog of ready-to-use agents with search and provider filtering capabilities.
For developers, BeeAI provides Python and TypeScript SDKs that allow creating custom agents focusing on core logic while the framework handles common aspects. Distributed under Apache 2.0 license, the system is implemented in TypeScript and Python.
BeeAI agents, called "bees," connect to large language models (LLMs) and can access tools to respond to queries and execute tasks. These agents have the ability to reflect on their actions and develop new approaches.
The platform is oriented toward organizations that need AI solutions for specific problems, workflow coding with LLMs, and specialized tools to enhance employees' operational capabilities in business environments.