MemoryRouter vs Mem0
Both products store memory for AI. They aim at different users. Mem0 is a developer platform you integrate into an app you build. MemoryRouter is memory for the assistants and coding agents you already run, with a developer path behind it.
Competitor details and pricing checked 2026-09-25. Sources at the bottom of this page.
What Mem0 is
Mem0 is a managed memory layer for AI agents and assistants, with an open-source core (Apache-2.0) and a hosted platform. It extracts memories on write and retrieves them on read, with optional graph memory on higher tiers, and it documents an MCP integration alongside its API and SDKs.
Their published pricing as of the date below: Hobby is free with 10,000 add requests and 1,000 retrieval requests per month and one project. Starter is $19 per month with 50,000 adds and 5,000 retrievals. Pro is $249 per month with 500,000 adds and 50,000 retrievals, unlimited projects, graph memory, and consolidation. Enterprise is custom.
What MemoryRouter is
MemoryRouter gives you a vault: portable memory that connects to the AI tools you already use. Claude Code and Codex install with published hook packages, editors and CLIs connect over remote MCP, and Claude and ChatGPT connect through custom connectors.
Published pricing is a 14-day free trial, then $20 per month with 200M memory tokens included, unlimited projects, and no inference markup. There is a developer path too: an OpenAI-compatible endpoint and an API with per-user vaults.
Side by side
| MemoryRouter | Mem0 | |
|---|---|---|
| Primary user | Developers building a product with an in-app agent | Individuals and teams using AI tools, plus a developer path |
| Entry price | Free tier, then $19 per month | 14-day free trial, then $20 per month |
| Billing unit | Add and retrieval requests per month by tier | 200M memory tokens per month included |
| Where memory lives | Mem0 cloud or your self-hosted deployment | MemoryRouter vaults, per user, project, or team |
| Cross-tool continuity | Whatever you integrate; the MCP server targets your own clients | One vault read by Claude Code, Codex, Cursor, Claude, ChatGPT, and the rest |
| Automatic capture | Inside the app you build | Hooks on Claude Code and Codex turns, agent calls elsewhere |
| Open source | Yes, Apache-2.0 core | Client packages are published; the service is managed |
Where Mem0 is the better choice
- You are building a product and want extraction that is tuned by a dedicated memory platform with optional graph memory.
- You want an in-app memory API with SDKs across languages and a self-hosting option.
- You prefer usage-based request pricing where volume is metered per operation.
Where MemoryRouter fits better
- You want the assistants you already use to remember, without writing code first.
- You care about one memory across tools and vendors rather than memory inside one app.
- You want deterministic capture on coding turns, since hooks run whether or not the model chooses to call a tool.
Which one should you use?
If you are building a memory-backed agent product and want a developer platform, evaluate Mem0 directly against your extraction and retrieval needs.
If the problem is that your AI tools forget your own projects, MemoryRouter is the shorter path: one command for Claude Code and Codex, MCP for the rest, one vault everywhere.
Install for Claude Code or Codex in about three minutes. 14 days free, then $20 per month.
Related
FAQ
Sources
Sources checked 2026-09-25. Tool behavior changes; check the vendor docs before relying on a detail.