#649 · Primary category: AI Agents & Automation
Shannon
A production-oriented multi-agent orchestration framework.
Project last updated:08/08/26
GitHub Stars
2.2K
Forks
351
Contributors
7
License
MIT
Why we included this project
Shannon targets teams that have moved past agent demos and now need a runtime they can actually operate. It ships as a self-hostable stack: a Go gateway, Temporal-backed orchestrator, Rust agent core, and Python LLM service in Docker containers with a one-command install. The operational layer is what stands out: hard per-task token budgets with automatic model fallback, real-time event streaming, Prometheus metrics, OpenTelemetry tracing, OPA approval gates, and time-travel debugging that replays any workflow step. It also routes tasks by complexity across strategies like DAG, ReAct, research, or swarm, and exposes an OpenAI-compatible API so existing clients can connect without changes.
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