Top MEMORY GitHub Repositories & Tools (2026)

Hindsight: Agent Memory That Learns

Long-term memory runtime for AI agents — plain Markdown as the source of truth, local ranked retrieval, and an independent sleep-time Manage layer. Claude Code and Codex share one store. No API key.

A smarter, self-hosted AI assistant — multi-user, multi-agent.

Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

A local multi-agent harness that works with your existing Claude Code, Codex subscriptions, allows you to run an office of agents

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

A trustworthy context layer for AI that remembers, plans and acts — free text into typed commitments, decisions and memories, each with its evidence, in a SQLite file you own. MCP, HTTP, library and typed client.

Stateful agents that are like people, with memory, identity, and the ability to learn and adapt

The best-benchmarked open-source AI memory system. And it's free.

SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue

Your favorite self-hostable alternative to Google Timeline (Google Location History)

Persistent project intelligence and memory plugin for DSH: architecture analysis, cross-session context, TODOs, and optional hybrid retrieval

A lightweight, lightning-fast, in-process vector database

Jev-Mem: System-One Controlled Agentic Memory

Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

A diagnostic performance logging utility for macOS: logs CPU, memory, GPU, network, and battery from the menu bar to help detect and diagnose performance issues. Free, open source, no telemetry.

TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.