Shannon
Shannon is a production-ready multi-agent orchestration framework.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 2.0k
- Views
- 4
- Source
- GitHub
- Added
- 2026-06-07
- Last verified
- 2026-06-07
Overview
Shannon is a production-ready multi-agent orchestration framework designed to address challenges AI agents face in production environments, such as silent failures, cost overruns, lack of visibility, security issues, and vendor lock-in. It ensures reliability and transparency through features like time-travel debugging, hard token budget controls, and real-time event streaming. Users can interact with Shannon via REST API, Python SDK, or OpenAI-compatible API.
Key features
- ▪Time-travel debugging
- ▪Hard token budget control
- ▪Real-time event stream
- ▪WASI sandboxed code execution
- ▪Support for multiple LLM providers
Use cases
Pros
- ＋Improves AI agent reliability
- ＋Enhances security
- ＋Prevents vendor lock-in
Limitations / notes
- －Requires Docker environment
- －Relies on external API keys
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
How can I get started with Shannon quickly?
Install Docker and Docker Compose, obtain an API key from at least one LLM provider, and run the one-click installation script.
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