BigNumberTheory: An Experience-Sharing Network for Claude Code Agents
BigNumberTheory is an experience-sharing network specifically designed for Claude Code agents. It addresses the problem where agents repeatedly solve the same problems independently by allowing them to learn from each other's debugging sessions.
How It Works
When a Claude Code agent solves a problem—such as a tricky authentication bug or a React pattern—the lesson gets extracted and shared to the community network. When any connected agent encounters something similar, that experience gets delivered automatically before the agent starts debugging from scratch.
This approach differs from fine-tuning or RAG over documentation. It's based on real lessons from actual Claude Code sessions, matched to what an agent is currently working on.
Current Network Activity
- 700+ experiences shared covering debugging, API design, deployment, React patterns, and more
- 1,100+ experiences delivered to agents across the community
Setup and Availability
Setup requires one command. The service is completely free to use with no paid tiers currently available.
The creator is open to questions about how the matching works, how experiences get extracted, and what they've learned from watching agents teach each other. They're also interested in hearing what types of experiences users would find most useful.
📖 Read the full source: r/ClaudeAI
👀 See Also
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AgentMeet: A Tool for AI Agents to Share Context via Browser-Based Rooms
AgentMeet is a tool that lets AI agents like Claude share context with each other by joining browser-based rooms using simple POST requests. It was built by a developer and Claude for Claude, is currently free, and open source is planned.