agent-memory
Your agents already solved this. deja finds it.
Memory tools start empty and record forward. deja starts full: it indexes the sessions your agents already wrote to disk — months of history from before you installed it — hands it back over MCP so any agent recalls what any other solved, and follows you between machines over SSH.
Dynamic memory for coding agents: chart discoveries as you explore, cache-bust when files change.
Don't grep the same mystery twice.
Persistent memory for coding agents. When your agent spends ten minutes figuring out where something lives in your codebase, capn saves the files that answer the question. The next session gets them back in one command instead of re-exploring — and the moment the underlying files change, the saved answer deletes itself.
Persistent memory for AI coding agents One brain. Local or cloud. Agent-agnostic, single binary, zero dependencies.
Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI.
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fully-local project memory for Claude Code.
Built for Claude Code. Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.
The best-benchmarked open-source AI memory system. And it's free. Local-first AI memory. Verbatim storage, pluggable backend, 96.6% R@5 raw on LongMemEval — zero API calls.
MemPalace stores your conversation history as verbatim text and retrieves it with semantic search. It does not summarize, extract, or paraphrase. The index is structured — people and projects become wings, topics become rooms, and original content lives in drawers — so searches can be scoped rather than run against a flat corpus.
Local-first AI memory layer for any LLM. Persistent knowledge graph, entity extraction, semantic retrieval. Works with Ollama, OpenAI, Anthropic, or any OpenAI-compatible backend.
mnemo is a sidecar service that watches every conversation you feed it, extracts named entities and relationships using an LLM, builds a persistent knowledge graph in SQLite, and injects relevant context back into future prompts — automatically, in under 50ms. It works with Ollama (fully local, free), OpenAI, Anthropic, or any OpenAI-compatible API. It ships as a single static binary with zero cloud dependency.
Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) via MCP. 94.5% LoCoMo recall@10, 70ms p50, multilingual, zero API keys.
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- [How I built local-first memory for Claude Code, Cursor, and Codex - 94.5% LoCoMo recall@10, 70ms p50 @ HackerNoon.
Native AI Memory for Hermes Agent. Zero-Dependency, Sub-Millisecond.
Mnemosyne is a universal, Hermes-first memory layer that works with any agent framework (Claude Code, Cursor, Codex, OpenWebUI, OpenClaw, or your own custom agent). One pip install, one SQLite database. No external services required.
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The context cloud for agents. Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.
Supermemory gives your agents state-of-the-art memory, RAG, user profiles, connectors, and extractors, all built in. Extremely low latency. Works with any model.
#1 Persistent memory for AI coding agents based on real-world benchmarks.
Your coding agent remembers everything. No more re-explaining. Built on iii engine Persistent memory for Claude Code, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client.
Persistent Memory for AI Agents. Your AI has amnesia.
Stash makes your AI remember you. Every session. Forever. No more explaining yourself from scratch.
persistent memory layer for AI agents. Episodes, facts, and working context stored in Postgres. MCP server included. Self-hosted, single binary, no cloud required.
Garry's Opinionated OpenClaw/Hermes Agent Brain.
Your AI agent is smart but it doesn't know anything about your life. GBrain fixes that. Meetings, emails, tweets, calendar events, voice calls, original ideas... all of it flows into a searchable knowledge base that your agent reads before every response and writes to after every conversation. The agent gets smarter every day.
Open Agent Harness.
OpenHarness delivers core lightweight agent infrastructure: tool-use, skills, memory, and multi-agent coordination.
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The highest-scoring AI memory system ever benchmarked. And it's free.
Every conversation you have with an AI — every decision, every debugging session, every architecture debate — disappears when the session ends. Six months of work, gone. You start over every time.
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The secret to good memory isn't remembering more. It's knowing what to forget.
Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero dependencies.
our Own AI Co-Worker. Its own computer.
Phantom deploys to a dedicated machine, learns from every conversation, and evolves its own capabilities. Open source. Self-hosted or managed.
Cognitive architecture for Claude Code — persistent memory, self-reflection, and foresight.
A plain-text cognitive architecture for Claude Code — simple by design, so the model can reason over its own memory with the same Unix tools (grep, find, git diff) it already knows.
Give Claude Code a subconscious.
A background agent that whispers to Claude Code. A Letta agent that watches your sessions, reads your files, builds up memory over time, and whispers guidance back.
The Context File System for AI Agents. A Context DataBase for AI Agents.
Memory, Resource, Skill. Everything is a File.
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Agent Memory That Learns.
Hindsight™ is an agent memory system built to create smarter agents that learn over time. Most agent memory systems focus on recalling conversation history. Hindsight is focused on making agents that learn, not just remember.
Memory Management Kit for Agents - Remember Me, Refine Me.
🧠 ReMe is a memory management framework built for AI agents, offering both file-based and vector-based memory systems.
It addresses two core problems of agent memory: limited context windows (early information gets truncated or lost during long conversations) and stateless sessions (new conversations cannot inherit history and always start from scratch).
ReMe gives agents real memory — old conversations are automatically condensed, important information is persisted, and the next conversation can recall it automatically.
Memory for Proactive 24/7 Agents.
MemU powers autonomous AI agents with persistent, evolving memory. Continuously predict user intentions, act proactively, and work for you — even while you sleep.