Browse / General-purpose / agent-memory
agent-memory
acn-ericlaw
A lightweight, vendor-neutral AI memory tool for human–AI collaboration that turns a clear, shared vision into deterministic delivery with near-zero drift.
Open acn-ericlaw/agent-memory → Does not match the four rules.
agent-memorydeterministicnear-zero-drifttoken-efficientvendor-neutralvision-loopzero-code
Works with any agent
ships AGENTS.md, the cross-tool instruction file.
In its own words
A no-code AI memory system, AI-enablement tool, and migration tool — all in one repo. Markdown only. No code to run. No API keys.
- A memory system — clone it, open with your agent, work normally.
Context persists across sessions and across different AI agents — and it evolves: frequently-used facts strengthen, unused ones fade to an archive, and the live continuity.md stays lean (see "Evolving Memory" below).
- An enablement tool — point your agent at any existing repo and it
gets a tailored memory system set up automatically.
- A migration tool — if the target repo already uses vendor AI files
(Cursor, Aider, Continue, Cline, Roo, Windsurf, Copilot, etc.), they get migrated into the unified format. Steering files folded in, chat history converted to dated session logs, originals preserved under legacy/.
Quickstart
Three short phases: install the tool, enable a repo, then work in that repo.
1 · Install agent-memory (one-time)
Open the cloned folder with your AI agent (Claude Code, Gemini CLI, Cursor, Kiro, …), and make your first prompt:
This points the agent at the hub so it loads the agent-memory protocol before doing anything else. It's the reliable entry point on every vendor — and it's required in enterprise IDEs (e.g. Kiro) that otherwise self-bootstrap from their own onboarding before reading AGENTS.md.
Quoting 14% of the README. Read the rest on GitHub ↗
Read from the repository's git tree on 2026-08-17.