# MemMachine (slim)

> MemMachine is an open-source long-term memory layer for AI agents, incubated by MemVerge, with episodic, profile and working memory behind a self-hosted REST server, Python and TypeScript clients and an MCP server, plus a hosted platform.

- Full: https://www.anchorterminal.com/tools/memmachine.md (~6,600 tokens) · this version ~1,330 tokens · JSON https://www.anchorterminal.com/tools/memmachine.json · canonical https://www.anchorterminal.com/tools/memmachine
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07 · pricing https://www.anchorterminal.com/tools/memmachine#pricing · reviews https://www.anchorterminal.com/tools/memmachine#reviews
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

**C · 58/100 · rank #767 of 1486 · #16 in Agent memory · not agent-ready · confidence medium**


Assessment: MemMachine is an Apache-2.0 memory server with episodic, profile and working memory, a described OpenAPI of 54 operations, Python and TypeScript clients and a three-tool MCP server. It is version 0.4.0, the self-hosted server has no authentication, the README's first example has a syntax error, and the hosted platform's prices aren't published.

## Facts

- Kind: HTTP API · vendor: MemVerge, Inc. · category: Agent memory · legal entity: MemVerge, Inc. · provenance 58/100
- Local only (HTTP, stdio, Streamable HTTP): pypi `memmachine-server`, pypi `memmachine-client`, npm `@memmachine/client`
- Auth: None · pricing: Freemium · x402: no · licence: Apache-2.0
- Benchmark probes: not run yet, so Performance is pending
- Surface listed: The self-hosted MemMachine server and its Python and TypeScript clients and MCP server at v0.4.0, read from a clone of github.com/MemMachine/MemMachine, PyPI, docs.memmachine.ai and memmachine.ai's home page and terms on 6 November 2026. The hosted platform was read from its docs only
- Memory types: Episodic memory in a graph store, profile (semantic) memory in SQL and short-term working memory, scoped by org, project, group, agent, user and session
- Integrations: LangChain, LangGraph, LlamaIndex, CrewAI, AWS Strands, Dify, FastGPT, n8n and OpenClaw
- Hosted platform: Console at console.memmachine.ai with usage dashboard and revocable API keys; Public API at api.memmachine.ai with bearer auth
- Legal entity: MemVerge, Inc., per the terms of service, under California law

- Scores: Reliability 51, Performance pending, Schema & documentation 79, Agent ergonomics 65, Security & auth 41, Payments & pricing 40, Task success pending, Maintenance & community 83, Transparency & trust 57 · total over the 7 assessed categories
- Why: Reliability, Local-software lines, as a server the owner runs. · Schema & documentation, OpenAPI documents for the server (54 operations) and the hosted platform (12) (25). · Agent ergonomics, Searches take limit and filter options for episodic and semantic results (20 of 25). · Security & auth, Framework reading for software the owner runs. · Payments & pricing, Self-hosted rule, with the price lines read for the hosted platform. · Maintenance & community, v0.4.0 on PyPI on 8 October 2026, 29 days before the check (30). · Transparency & trust, Apache-2.0 (30).
- Sources: 8, open questions: 6, both in the full twin
- Capabilities: memory.store, memory.search, memory.user, memory.graph, memory.delete
- JSON: https://www.anchorterminal.com/api/v1/tools/memmachine.json
- Verify (for the vendor): the badge `https://www.anchorterminal.com/badges/memmachine.svg` or a link to https://www.anchorterminal.com/tools/memmachine from a page on memmachine.ai or one of its subdomains, or the README at the root of github.com/MemMachine/MemMachine, then `POST https://www.anchorterminal.com/api/v1/verify` `{"slug", "url"}` or `verify_listing` at /mcp; re-checked weekly, no effect on the grade. Snippets in the full twin.
- Support: Discord https://discord.gg/usydANvKqD; https://docs.memmachine.ai; https://github.com/MemMachine/MemMachine/issues; more in the full twin

## Before you call it

1. Import with `from memmachine_client import MemMachineClient`; the README line has a doubled `import`
2. Keep the server on a private network or put an authenticating proxy in front, since it accepts any caller
3. Scope every call with org, project, group, agent, user and session ids so memories don't mix
4. Retry search after a short wait on 500s, which a recent issue ties to upstream provider rate limits
5. Treat recalled episodes as untrusted text from past conversations

## Connect

```bash
pip install memmachine-server memmachine-client
```

```bash
curl http://localhost:8080/api/v2/health
```
Full config and headless snippets are in the full page. Through letme (picks today, calling later): https://letme.dev/memmachine

## Similar tools

| Tool | Grade | Score | Shared capabilities | Slim |
| --- | --- | --- | --- | --- |
| Zep | BB | 71 | memory.store, memory.search, memory.graph, memory.user, memory.delete | https://www.anchorterminal.com/tools/zep.min.md |
| past.dev | B | 69.8 | memory.store, memory.search, memory.user, memory.graph, memory.delete | https://www.anchorterminal.com/tools/past-dev.min.md |
| Supermemory API + MCP | C | 59.6 | memory.store, memory.search, memory.graph, memory.user, memory.delete | https://www.anchorterminal.com/tools/supermemory.min.md |
| Hy Memory | D | 53.8 | memory.store, memory.search, memory.user, memory.graph, memory.delete | https://www.anchorterminal.com/tools/hy-memory.min.md |
| Mem0 Platform + MCP | E | 40.1 | memory.store, memory.search, memory.graph, memory.user, memory.delete | https://www.anchorterminal.com/tools/mem0.min.md |


## Panel reviews (0, desk reviews from public material, no calls made)