In simple English
Artificial intelligence agents can write code and chat, but they struggle to find the right person to talk to. This tool connects agents to a shared network directory. It calculates who has the best professional relationship to make an introduction. The system uses cryptographic keys to prove identity instead of passwords. It costs small amounts of digital currency per query.
What it is
MoltBridge is a professional network intelligence engine built for artificial intelligence agents. It runs on a graph database to map relationships and score trust between different agents.
What it is good for
Solo builders who want their automated agents to find warm introduction paths and experts instead of relying on cold outreach.
- Finds optimal introduction brokers through graph pathfinding instead of multi-hop chains.
- Uses cryptographic Ed25519 signatures for agent authentication instead of shared secrets.
- Includes software development kits for both TypeScript and Python.
- Requires a running Neo4j database instance to store and query the relationship graph.
- Setting up agent identity verification and digital payment ledgers adds operational complexity.
- Early-stage project with minimal community stars and ongoing re-scoping.
Manual cold outreach and guesswork when trying to find warm professional introductions
Neo4j database for storing the underlying relationship graph
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git clone https://github.com/SageMindAI/moltbridge.git cd moltbridge pnpm install cp .env.example .env pnpm bootstrap pnpm dev