agent-memory
Durable, searchable memory of your past agent sessions.
Durable memory for your AI coding agents. funes indexes your past sessions across Claude Code, Codex, pi, and Hermes and lets any agent recall the past decisions, rationale, and findings. Your memory is a dataset you can publish to the Hugging Face Hub — then any machine, teammate, or agent can recall from it.
Related contents:
AI-built automation platform. Deterministic Automation for AI Agents. Makes AI repeatable, shareable, and auditable.
Your AI solves a problem, then forgets how it got there. Your team never sees the solution. Nobody can prove what happened. Swamp fixes all three.
Swamp is a CLI that supercharges AI agents to create operational workflows that are reviewable, shareable, and accurate. Built for agents, there to empower humans. All the data lives in the .swamp/ (the swamp).
A model-independent format for storing and sharing memories for use by AI agents and humans.
memoryfields are a vastly simpler way of giving AI agents memories. The memoryfield format is based on standard file formats with wide support that both LLM agents and humans can easily understand.
Related contents:
Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors.
Long-term memory for AI coding agents. Quit Claude Code mid-task, start OpenAI Codex in the same directory, continue without re-explaining the architecture, the failed approaches, or the open questions.
Local memory for AI agents.
Link gives Codex, Claude, Cursor, Kiro, VS Code, Copilot, Antigravity, and other local agents the same source-backed memory, stored locally as Markdown.
AI Memory Layer for your Agents & Apps.
Mem0 ("mem-zero") enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. It remembers user preferences, adapts to individual needs, and continuously learns over time—ideal for customer support chatbots, AI assistants, and autonomous systems.
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
Ecosystem, Frameworks, Workflows for AI coding agents.
Gentle-AI is NOT an AI agent installer. Most agents are easy to install. It is an ecosystem configurator that equips the AI coding agent(s) you already use with persistent memory, Spec-Driven Development (SDD), curated skills, MCP servers, model routing, a teaching-oriented persona, and bounded native review.
Before: "I installed Claude Code / OpenCode / Cursor, but it's just a chatbot that writes code."
After: Your agent now has memory, skills, workflow, MCP tools, and a persona that actually teaches you.
Related contents:
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.
Related contents:
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.
Related contents:
- [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.
Related contents:
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.
Related contents:
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.
Related contents:
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.
Related contents:
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.
The SQLite for AI memory. One file. Full RAG. Zero infrastructure.
🍯 Memory layer for on-device AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer.
shared memory for agents. Get smarter alongside your AI.
Your intelligence shouldn't reset every conversation. Ensue is a persistent knowledge tree that grows with you - what you learn today enriches tomorrow's reasoning.
Long-term Memory for AI Agents.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Your AI's Perfect Memory Archive.
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.
An open-source SQL-Native memory engine for AI. Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems.
One line of code to give any LLM persistent, queryable memory using standard SQL databases.
Memori enables any LLM to remember conversations, learn from interactions, and maintain context across sessions with a single line: memori.enable(). Memory is stored in standard SQL databases (SQLite, PostgreSQL, MySQL) that you fully own and control.
A memory upgrade for your coding agent.
Beads is a lightweight memory system for coding agents, using a graph-based issue tracker. Four kinds of dependencies work to chain your issues together like beads, making them easy for agents to follow for long distances, and reliably perform complex task streams in the right order.
Related contents: