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LangMem

Long-term memory for agents from LangChain

langchain-ai/langmem

Maintained by langchain-ai

LangMem helps agents learn and adapt from their interactions over time. It extracts important information from conversations, refines agent prompts and keeps long-term memory. It offers functional primitives that work with any storage system and integrates natively with LangGraph's storage layer.

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The team behind it

Featured

The de-facto standard toolkit for building LLM applications and agents.

LangChain makes the LangChain framework and LangGraph, the low-level orchestration standard for stateful, controllable agents, plus the LangSmith platform for tracing, evaluating and monitoring them in production.

~$75M raised

4 pros · 4 cons

ECC

affaan-m/ECC

Agent harness performance optimization system: skills, instincts, memory and security for coding agents.

Maintained by Affaan Mustafa

4 pros · 4 cons
Featured

NousResearch/hermes-agent

The agent that grows with you.

Maintained by Nous Research

4 pros · 4 cons

Graphify-Labs/graphify

A /graphify skill that turns a codebase, docs and schemas into a queryable knowledge graph.

Maintained by Graphify-Labs

4 pros · 4 cons

Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

Maintained by · 1

Sources

  1. GitHub repo
  2. Docs