2025年2月7日 · BeeAI is designed to integrate with the systems and capabilities you need. 🚀 Scale with production-grade controls. Optimize token usage through configurable memory strategies, persist and restore agent state via (de)serialization, generate structured outputs, and execute generated code in a sandboxed environment (coming soon).

2025年3月17日 · IBM’s ACP takes things a step further by introducing the ability to discover and run agents. ACP is currently in the “pre-alpha” stage, as IBM researchers rally the open-source community to build out the protocol to make it easier to discover agents, delegate tasks, and improve agent-to-agent operability.

2025年2月17日 · Last year, IBM Research released the Bee Agent Framework, a fully open-source and no-code platform to get started with agents. The AI agents, called "bees," connect to an LLM and can access tools to respond to user queries and perform tasks. The agents can also reflect on what they are doing and come up with new approaches.

2024年12月18日 · IBM’s new experimental application, BeeAI, built on its open-source Bee Agent platform, is aimed at exploring how professionals can get some of that time back. It’s part of a larger research project to determine how generative AI can help to accelerate and automate repetitive tasks, regardless of your technical expertise.

Developed with ️ by the BeeAI Team and contributors. Supported by IBM Research. Template to quickly start working with Bee Agent Framework. An HTTP service intended as a backend for an LLM that can run arbitrary pieces of Python code. BeeAI has 19 repositories available. Follow their code on GitHub.

2024年12月1日 · The Bee Stack comprises the following components: - bee-agent-framework gives the foundation to build LLM Agents. - bee-code-interpreter runs a user or generated Python code in a sandboxed environment. - bee-api exposes agents via OpenAPI compatible Rest API. - bee-ui allows you to create agents within your web browser.

2024年10月26日 · IBM has launched the Bee Agent Framework, a newly released open-source tool that allows developers to build and deploy agent-based workflows at scale. Currently in its alpha stage, the framework supports a wide range of AI models and provides enhanced compatibility with IBM Granite and Llama 3.x models.

2024年10月25日 · IBM developers have recently released the Bee Agent Framework, an open-source toolkit designed to build, deeply integrate and serve agentic workflows at scale. The framework enables developers to create complex agentic architectures that efficiently manage workflow states while providing production-ready features for real-world deployment.

The Bee Agent Framework makes it easy to build scalable agent-based workflows with your model of choice. The framework is been designed to perform robustly with IBM Granite and Llama 3.x models, and we're actively working on optimizing its performance with other popular LLMs.

The emergence of IBM’s Bee Agent Framework marks a significant milestone in the agent-based workflow landscape. Released in early 2024, this open-source framework represents a paradigm shift in how developers approach agent development and deployment at scale.