langchain - 💡(How to fix) Fix Feature request: discuss optional ClawMem integration for persistent agent memory [1 comments, 2 participants]

Summary

I'd like to discuss an optional integration path between LangChain and ClawMem as a persistent memory backend for agents and LLM applications.

This is not a request to replace LangChain's architecture. The ask is narrower: whether ClawMem could make sense as an optional integration for teams that want durable, auditable, repo-scoped memory.

Why this seems worth discussing

LangChain's README describes the project as an agent engineering platform with modular components, third-party integrations, and stateful workflows.

That suggests a ClawMem integration would most likely fit as one of:

1. an external integration package
2. a community/provider integration
3. a documented example showing how to wire ClawMem into agent memory/chat history flows

What ClawMem would add

ClawMem is oriented around:

• durable memory across sessions
• auditability of memory changes
• repo/workspace-scoped memory boundaries
• optional shared memory for teams or multiple agents

Clarification I am looking for

Would maintainers be open to one of these directions?

1. external package only
2. docs/example integration
3. first-party community/provider integration
4. not a good fit for LangChain

Minimal scope

The smallest reasonable scope seems to be:

• optional integration only
• no default behavior changes
• fit into existing LangChain memory/chat-history/state patterns instead of introducing a parallel system

If this direction sounds reasonable, I can turn it into a more concrete implementation brief.