Support for decentralized agent-to-agent communication (HyperCortex Mesh Protocol, HMP)
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kagvi13 commented
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- This is a feature request, not a bug report or usage question.
- I added a clear and descriptive title that summarizes the feature request.
- I used the GitHub search to find a similar feature request and didn't find it.
- I checked the LangChain documentation and API reference to see if this feature already exists.
- This is not related to the langchain-community package.
Feature Description
LangChain currently focuses on connecting LLMs via chains and tools for single-agent workflows.
We propose adding support for decentralized multi-agent communication, enabling agents to exchange knowledge, maintain cognitive diaries, and validate decisions in a distributed way via HyperCortex Mesh Protocol (HMP).
Use Case
- Agents in different LangChain workflows could discover each other and share processed knowledge, memory traces, and reasoning strategies.
- Example: one chain performing legal analysis could query another chain’s reasoning history to improve accuracy.
- HMP enables persistent semantic memory, cognitive journaling, and collaboration, creating a mesh of interoperable agents.
Proposed Solution
- Implement optional HMP support as a plugin or extension layer.
- Provide interfaces for chains and tools to register as HMP nodes (either as Cognitive Core or Cognitive Shell).
- Integrate shared cognitive diaries and semantic graphs for interoperability between agents.
Alternatives Considered
- Using only embeddings or raw outputs: limited interoperability and knowledge sharing.
- Custom peer-to-peer messaging between chains: lacks standardized cognitive structures and ethics framework.
Additional Context
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HMP is already prototyped with reference docs:
- HMP-0004-v4.1.md — protocol specification
- HMP-Ethics.md — ethics and validation
- dht_protocol.md — P2P discovery
- HMP-agent-REPL-cycle.md — example agent cycle