Persistent memory for AI coding agents

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.

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

Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.

Git-native memory for coding agents. Repo memory before the diff.

🧠 The Brain for Your AI — Local-first memory engine for AI agents. Store, recall, and search memories with semantic embeddings. Single Rust binary, zero config, fully offline.

Beads - A memory upgrade for your coding agent

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.

The Universal AI-Optimized Project Boilerplate. A Tiered Memory System (TMS) designed to maximize AI agent performance. Includes an interactive CLI tool and a high-signal documentation standard.

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