GeezerVison

Build reliable, intelligent agents with our lightweight framework that goes beyond prompting and enforces rules.

Framework Documentation →

• 🔀 Dynamic workflows - Use simple decorators to design multi-agent systems with advanced patterns like parallelism, retries, and replanning
• ⚖️ Agents with constraints - Preserve your agent's reasoning abilities while enforcing deterministic rules instead of suggesting behavior
• 📋 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 auditing and monitoring
• 💻 Python and TypeScript support - Feature parity between languages lets teams build with the tools they already know and love
• 🔌 MCP and A2A native - Build MCP-compatible components, equip agents with MCP tools, and interoperate with any MCP or A2A agent

Deploy and share agents with open infrastructure, free from framework or vendor lock-in.

Agent Stack Documentation →

• ⚡ Instant agent UI - Generate a shareable front-end from your code in minutes. Focus on your agent's logic, not UI frameworks
• ☁️ Effortless deployment - Go from container to production-ready. We handle database, storage, scaling, and RAG so you can focus on your agent
• 🎮 Multi-provider playground - Test across OpenAI, Anthropic, Gemini, IBM watsonx, Ollama and more. Instantly compare performance and cost to find the optimal model
• 🌐 Framework-agnostic - Run agents from LangChain, CrewAI, and more on a single platform. Enable cross-framework collaboration without rewriting your code

Want to create your own AI agents? Start with the framework.

Framework Quickstart →

What to deploy and share your AI agents with others? Check out Agent Stack.

Agent Stack Quickstart →

Developed by contributors to the BeeAI project, this initiative is part of the Linux Foundation AI & Data program. Its development follows open, collaborative, and community-driven practices.