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madahub

Open infrastructure for trustworthy AI agents

Mirror Frame Protocol

Symmetric cryptographic envelope for secure agent-to-agent communication. End-to-end encrypted channels, forward secrecy, and federated transport.

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WACP

Workspace Agent Coordination Protocol. A formal specification for multi-agent coordination: workspaces, checkpoints, audit trails, and human-in-the-loop supervision.

Read the spec →

mada-modelkit

Composable AI client library. Cloud, local server, and native providers behind one async interface with middleware (retry, circuit breaker, caching, tracking, fallback).

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Open Source

All projects are open source under permissive licenses. Apache 2.0 for protocols, MIT for utilities.

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Autonomous AI agents are proliferating, but the infrastructure to make them trustworthy is missing. Agents need:

  • Secure communication — cryptographic guarantees, not policy-based guards
  • Coordination contracts — formal protocols for multi-agent collaboration
  • Human oversight — first-class supervision, not an afterthought
  • Audit trails — immutable, hash-chained records of every action

madahub builds the foundational layers that agent frameworks rely on. We publish open specifications and reference implementations so the ecosystem can build on shared, well-defined contracts.


ProjectDescriptionStatusLicense
Mirror Frame ProtocolCryptographic agent-to-agent communicationProduction ready (813 tests)Apache 2.0
WACPMulti-agent coordination protocol specificationDraft v0.1Apache 2.0
mada-modelkitComposable AI client libraryAlpha (1,168 tests)MIT