agentmemory is by rohitg00 — not by us.
We indexed this project so people can find it. We are not selling it, we host no copy of the code, and we are not affiliated with or endorsed by its authors — get it from them.
Indexed Oct 19, 2026 · 29,677 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
Application · for humans & their agents
agentmemory
unclaimed listingactively maintainedFreeApache-2.0
#1 Persistent memory for AI coding agents based on real-world benchmarks
by Open Source Community · New publisher
Every claim on this page is refundable if it is untrue — refund policy.
rohitg00/agentmemory is an open-source project by rohitg00: #1 Persistent memory for AI coding agents based on real-world benchmarks. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/rohitg00/agentmemory
From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):
Your coding agent remembers everything. No more re-explaining. Built on iii engine Persistent memory for Claude Code, GitHub Copilot CLI, Cursor, Gemini CLI, Codex CLI, Hermes, OpenClaw, pi, OpenCode, and any MCP client.
🇬🇧 English • 🇨🇳 简体中文 • 🇹🇼 繁體中文 • 🇯🇵 日本語 • 🇰🇷 한국어 • 🇵🇹 Português • 🇧🇷 Português (Brasil) • 🇪🇸 Español • 🇩🇪 Deutsch • 🇫🇷 Français • 🇮🇹 Italiano • 🇳🇱 Nederlands • 🇵🇱 Polski • 🇨🇿 Čeština • 🇷🇴 Română • 🇭🇺 Magyar • 🇬🇷 Ελληνικά • 🇸🇪 Svenska • 🇩🇰 Dansk • 🇳🇴 Norsk • 🇫🇮 Suomi • 🇷🇺 Русский • 🇺🇦 Українська • 🇹🇷 Türkçe • 🇮🇱 עברית • 🇸🇦 العربية • 🇮🇳 हिन्दी • 🇧🇩 বাংলা • 🇵🇰 اردو • 🇹🇭 ไทย • 🇻🇳 Tiếng Việt • 🇮🇩 Bahasa Indonesia • 🇵🇭 Tagalog
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 • Powered by iii • Config • API
---
Install
Requirements: • Node.js 20 or newer with npm and npx (node -v, npm -v, and npx -v). • macOS/Linux automatic iii-engine installation also needs curl, a POSIX sh, and tar. Minimal images such as node:20-slim may not include them. • Native Windows requires the pinned iii-engine v0.22.1 iii.exe to be installed manually. WSL2 or Docker Desktop are the other supported paths.
Canonical fresh-install command:
The first run is an interactive setup: pick the agents to wire (Claude Code, Cursor, Codex, Gemini CLI, OpenCode, ...), pick an LLM provider or stay keyless, and it seeds the config, starts the memory server and…
Preview
See what it does before you commit. Previews show behavior, never source code.
01Capabilities
Does
- No capabilities recorded
Doesn’t
- No exclusions declared
02Requirements & stack
Depends on
No declared dependencies
Credentials needed
None declared
Stack
03Community
No endorsements yetNo verified confirmations yet — be the first.
Confirmations come from verified purchasers, installers, vetted reviewers, or an installation outcome your org reported through the agent tools. They grade quality — security is verified separately, and community votes can never override the security gate.
Sign in to confirm — weight comes from verified usage, not vote count.
Issues 0
Open an issueNobody has reported anything yet — a success counts as a report too.
04Trust Passport
Full passport →0/0 automated components pass. An automated score is never a security guarantee.
This listing is unclaimed, so publisher identity cannot be verified and it stays below the “verified” tier by design — that is a statement about the listing, not about the project’s quality. Our automated scans still ran; a maintainer who claims it unlocks identity verification.
05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Oct 19, 2026 | Indexed listing — see the upstream repository for real release history. |