Lightweight Long-Term Memory for LLM Agents.

蒸留蔵 — distilled long-term memory for agents: recall by meaning, writing gated by evidence, one kura per agent mode. Ships as a DeepSeek Harness plugin and an MCP server.

All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages

Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

A memory system using mem0 for AI applications. Enables long-term memory for AI agents as a drop-in MCP server.

memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw

Synapse is a local-first personal memory operating system designed for AI agents. It provides durable, typed, and highly reliable long-term memory using only local SQLite — giving agents the ability to remember, update, and reason over facts across sessions with full user control.

An advanced, UI-powered AI second brain Agent Skill for OpenClaw, Hermes Agent, WorkBuddy, TRAE, and QClaw. ZhiGui uses long-term memory to help you make better decisions, automatically plan tomorrow, resolve conflicting notes, and deliver each day's plan through your existing agent channels.

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

A memory layer for AI Agents

Poirot is a deep research agent kernel built for those who care about how agents are architected.

Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.

A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

A portable memory protocol for AI agents — load it as standing rules; a curation discipline + reference spec + optional cap hook.

Next-gen AI memory layer with importance scoring, temporal decay, hierarchical memory, and YMYL prioritization

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

Vestige enhances agents by deterministic root-cause retrieval that reaches backward through time to find the quiet change, decision, or service that caused today’s failure, not the lookalike.

Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.

Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.