@WY_mask: Build persistent memory engine for all kinds of AI coding assistants http://github.com/rohitg00/agentmemory… Silently records code changes and context in the background, automatically extracts and compresses into structured memory, saves Token consumption from long context, associates past information, as…

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Summary

agentmemory is an open-source tool that provides persistent memory for AI coding assistants. It silently records code changes and context, automatically extracts and compresses them into structured memory, reduces Token consumption, and supports multiple mainstream platforms such as Claude Code and Codex.

Build persistent memory engine for all kinds of AI coding assistants https://t.co/OhfjtQYtwY 📌 Silently records code changes and context in the background 📌 Automatically extracts and compresses into structured memory 📌 Saves Token consumption from long context 📌 Associates past information and continuously learns over time 📌 Works across multiple mainstream platforms like Codex and Claude Code https://t.co/z2FXYbCgy8
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Your coding agent remembers everything. No more re-explaining. Built on the iii engine, providing persistent memory for Claude Code, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client.

The gist extends Karpathy’s LLM Wiki pattern with confidence scoring, lifecycle, knowledge graphs, and hybrid search: agentmemory is the implementation.

Install • Quick Start • Benchmarks • vs Competitors • Agents • How It Works • MCP • Viewer • iii Console • Powered by iii • Config • API

Works with any agent that speaks MCP or HTTP. One server, memories shared across all of them.

Deploy

Workers page: every connected worker — including agentmemory itself — with PID, function count, runtime, and last-seen.

Traces: waterfall / flame / service breakdown for every memory operation.

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rohitg00/agentmemory

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agentmemory is an open-source persistent memory layer for AI coding agents (Claude Code, Cursor, Gemini CLI, Codex CLI, etc.) that uses knowledge graphs, confidence scoring, and hybrid search to give agents long-term memory across sessions via MCP, hooks, or REST API. Built on the iii engine, it requires no external databases and exposes 51 MCP tools.