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Shannon

Production-ready multi-agent orchestration framework with swarm collaboration, token budget control, and time-travel debugging.

★ 2,185 GitHub MIT multi-agentorchestrationrustgoagentsswarmllm AI Agents

Overview

Shannon is a production-oriented multi-agent orchestration framework built on a Rust agent core, Go orchestrator, and Python LLM service. It ships with multi-strategy orchestration, swarm collaboration, hard token budgets with automatic model fallback, human approval workflows, WASI sandboxing, and full observability through real-time event streaming, Prometheus metrics, and OpenTelemetry tracing. Interact with it via REST API, Python SDK, OpenAI-compatible endpoint, or a Tauri desktop app.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  shannon:
    image: ghcr.io/kocoro-lab/shannon:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/shannon:/data

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Guides & articles

Getting Started with Shannon: Deploy Multi-Agent Workflows in Minutes

Hands-on tutorial: install Shannon with one command, submit tasks via REST API and Python SDK, stream live events, and use the OpenAI-compatible endpoint as a drop-in replacement.

Aug 10, 2026

Shannon: A Production-Grade Multi-Agent Orchestration Framework

A deep dive into Shannon, the production-oriented multi-agent orchestration framework built on Rust, Go, and Python — with swarm collaboration, token budget control, and time-travel debugging.

Aug 10, 2026