AO2 Memory
Summary
Every AI tool you open starts with amnesia — and you become the copy-paste layer, re-explaining your project stack, preferences, and constraints from scratch every single session. AO2 Memory exists to break that loop by giving Claude, ChatGPT, Codex, and your own apps a single shared memory store they all read from and write to.
AO2 Memory runs as an MCP server you connect to whatever AI tools you use, so context written by one agent is immediately available to every other. The vendor describes structured records with defined schemas — not free-form text blobs — so AI reads your memory cleanly instead of guessing meaning from a pile of notes. A per-agent access dashboard lets you scope exactly which fields each AI can see or modify, and issue temporary keys that expire on a schedule. Rollback is built in: every agent action is logged, and you can undo any change from the dashboard. Export via CLI to Git, JSON, Markdown, or CSV means your context leaves with you.
Bottom line: The right pick if you run three or more AI tools against the same project and are tired of re-seeding each one — but if your workflow requires agents that act on their own initiative rather than read from a shared store, AO2 Memory is infrastructure for agents, not an agent itself.
Pricing Plans
SubscriptionLast verified 2 weeks ago- Price
- $15/mo or $30/mo
- Free Tier
- 100 active records
Free
For early experiments and tiny private tools
- 100 active records
- Dashboard and API access
- Archive records anytime
Pro
For active apps with room to grow
- 1,000 active records
- Stripe-managed billing
- Room for active apps
Unlimited
For serious AO2 workspaces with no record ceiling
- Unlimited active records
- Best for serious workflows
- No record ceiling
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Single MCP connection lets every AI tool you use read and write to the same memory, so you stop re-explaining project context each time you switch tools and the context compounds automatically across sessions.
- Structured record schemas replace free-form text dumps, which means AI parses your memory accurately instead of misreading ambiguous notes as the record count grows.
- Per-agent field-level access control plus temporary expiring keys lets you hand a third-party or experimental agent only what it needs, so a misconfigured or compromised agent cannot touch sensitive records.
- Full agent activity log with rollback means you can see exactly what any AI changed and undo it — removing the guesswork about what an agent touched while you were not watching.
- CLI export to Git, JSON, Markdown, or CSV means your accumulated context is not held hostage by the platform — you own it and can move it.
Cons
Sign in to edit- AO2 Memory is a passive store, not an agent. It cannot trigger actions, plan tasks, or route work between tools on its own. Teams that need agents to hand off work to each other automatically hit this ceiling immediately and require separate orchestration infrastructure alongside AO2 Memory — at which point they are maintaining two systems.
- The free tier caps at 100 active records. A single active project with detailed task lists, notes, and preferences fills that ceiling fast. Teams that hit it either archive aggressively to stay under the limit or move to a paid-only tier — and archiving means those records stop counting toward context agents can read without manual retrieval.
- There is no self-hosted option. Teams under data-residency requirements or internal security policies that prohibit sending context to a third-party cloud service cannot use AO2 Memory at all and will look at building a self-hosted MCP memory layer instead.
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About
- Platforms
- Web dashboard, API, CLI, SDK
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-27T04:28:50.703Z
Best For
Who it's for
- Users who switch between several AI tools on the same projects
- Developers building multi-agent workflows
- Anyone needing structured, exportable memory for AI interactions
What it does well
- Maintaining consistent project context across multiple AI coding or chat sessions
- Sharing notes and tasks between different AI agents without manual copying
- Auditing and rolling back changes made by AI tools to shared data
Integrations
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Frequently Asked Questions
- Is AO2 Memory free?
- AO2 Memory has a permanent free tier alongside paid upgrades (paid plans from $15/mo or $30/mo). You can keep using a baseline version indefinitely without paying.
- Is AO2 Memory open source?
- No — AO2 Memory is a closed-source tool. Source code is not publicly available.
- Does AO2 Memory have an API?
- Yes. AO2 Memory exposes a developer API. See the official documentation at https://ao2.ai for details.
- What platforms does AO2 Memory support?
- AO2 Memory is available on: Web dashboard, API, CLI, SDK.
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Curated lists that include this category
Most AI tools operate in isolation — whatever you tell Claude stays in Claude, and Codex never finds out. AO2 Memory is a shared memory layer that connects to your existing AI tools via MCP, API key, SDK, or CLI, so every agent reads and writes to the same structured record store. The vendor describes a setup flow where you connect a tool, seed the memory with a single prompt, and from that point agents populate it automatically as they learn things during your work sessions.
The differentiating feature is structured records rather than free-form blobs. The vendor draws a direct contrast: an unstructured text dump becomes unsearchable and ambiguous for AI to parse, while AO2 Memory enforces a schema — title, status, due date, priority — so every record stays legible to agents over time. This matters because memory that compounds cleanly is qualitatively different from memory that degrades into noise as it grows.
Per-agent access control is the second meaningful differentiator. The vendor describes scoping access down to the record and field level — one agent can read titles and statuses but not salary or SSN fields — and issuing temporary keys with automatic expiry. A full activity log tracks every change any agent made, and rollback is available for any entry. Export via CLI pushes to Git or downloads as JSON, Markdown, or CSV, which the vendor frames explicitly as an anti-lock-in guarantee.
The tool connects to Claude, ChatGPT, Codex, OpenClaw, Hermes, Manus, and custom apps via API. AO2 Memory is not itself an agent — it does not plan, execute tasks, or make decisions. It is passive infrastructure: a memory substrate that agents read from and write to. Teams building agents that need to act autonomously on their own will need separate orchestration; AO2 Memory provides the shared state those agents operate against.