Shannon

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Shannon is an AI Agents & Automation tool that provides a production-oriented multi-agent orchestration framework. It helps developers ship reliable AI agents to production with features like multi-strategy orchestration and token budget control.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Shannon?

Shannon is an open-source, production-oriented multi-agent orchestration framework designed to help developers ship reliable AI agents to production. It offers robust features such as multi-strategy orchestration, swarm collaboration, and token budget control. The framework includes time-travel debugging for replaying execution steps, real-time event streaming, Prometheus metrics, and OpenTelemetry tracing for visibility. Security is addressed with a WASI sandbox for code execution and OPA policies. Shannon supports a wide range of LLM providers, including OpenAI, Anthropic, Google, and local models via Ollama, with automatic failover. It provides various interaction methods like REST API, Python SDK, and an OpenAI-compatible API, making it versatile for different development workflows.

Best used for

Ideal for developers and data scientists who need to build and deploy complex AI agents, manage multi-agent collaboration, and ensure cost-effective LLM usage. Especially valuable for those requiring robust debugging, observability, and security features in a production environment.

Common actions

orchestrate AI agents

deploy AI agents

manage AI workflows

control LLM costs

debug AI agents

"AI Agents"github copilotopen-sourcecollaborationautomated workflowdeepfakeworkflowslow-code/no-codeface swapping

Capabilities

Key features

Multi-agent orchestration
Time-travel debugging
Token budget control
WASI sandbox security
Real-time event streaming
Multiple LLM providers
OpenAI-compatible API

Target Audience

developerdata scientiststartup founderproduct manager

Integrations

openaianthropicgoogledeepseekxaiollamaserpapifirecrawl+ 4 more

Pricing & Plans

Open Source

Free

FAQs

What kind of AI agents can Shannon orchestrate?

Shannon can orchestrate various AI agents, including those for research workflows, swarm multi-agent collaboration, and browser automation. It supports custom skills and provides different execution strategies based on task complexity, such as DAG, ReAct, and Tree-of-Thoughts.

How does Shannon help control LLM costs?

Shannon implements hard token budgets per task or agent, with automatic model fallback to more cost-effective options. It also supports tiered models for research strategies, which can lead to significant cost reductions by optimizing model usage based on task requirements.

Can I integrate Shannon with my existing OpenAI-based applications?

Yes, Shannon provides an OpenAI-compatible API, allowing it to serve as a drop-in replacement for existing OpenAI API calls. You can simply export OPENAI_API_BASE to point to your Shannon instance, and your current OpenAI code should work without changes.

What are the system requirements for running Shannon locally?

To run Shannon locally, you need Docker and Docker Compose installed. Additionally, an API key for at least one LLM provider (like OpenAI or Anthropic) is required. Optional API keys for web search (SerpApi) and web fetching (Firecrawl) are recommended for enhanced functionality.

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Coding & Development › Open Source & Models

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