# LangMem vs Mem0 Platform + MCP

> Mem0 Platform + MCP scores 56.1 (C) on agent readiness against LangMem's 47.9 (D), and leads in 3 of 7 scored categories. LangMem leads on payments & pricing. Both do memory store. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/langmem-vs-mem0
- Markdown: https://www.anchorterminal.com/compare/langmem-vs-mem0.md (~2,100 tokens)
- Slim: https://www.anchorterminal.com/compare/langmem-vs-mem0.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/langmem-vs-mem0.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

Mem0 Platform + MCP scores 56.1 (C) on agent readiness against LangMem's 47.9 (D), and leads in 3 of 7 scored categories. LangMem leads on payments & pricing. Both do memory store.

- LangMem: grade D, 47.9/100, rank #734 of 842. Markdown https://www.anchorterminal.com/tools/langmem.md · JSON https://www.anchorterminal.com/api/v1/tools/langmem.json
- Mem0 Platform + MCP: grade C, 56.1/100, rank #575 of 842. Markdown https://www.anchorterminal.com/tools/mem0.md · JSON https://www.anchorterminal.com/api/v1/tools/mem0.json

## Which one, for what

### LangMem (D)

Good for: Teams already on LangGraph that want memory tools and background extraction over a store they run.

Ahead on:
- Payments & pricing, 60 against 50

Also in its favour:
- No key needed to call it

Watch for: The newest PyPI release, 0.0.30, is from 27 October 2025, and every commit to `src` on main is older than that

### Mem0 Platform + MCP (C)

Good for: Chat products that want per-user facts back with one search call and little setup.

Ahead on:
- Schema & documentation, 80 against 55
- Maintenance & community, 85 against 15

Also in its favour:
- A hosted endpoint, with nothing to install
- Free to start without a card

Watch for: Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026


## Score by category

| Category | Weight | LangMem | Mem0 Platform + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 32 | 30 | LangMem +2 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 55 | 80 | Mem0 Platform + MCP +25 |
| Agent ergonomics | 13% (16.2 this run) | 66 | 63 | LangMem +3 |
| Security & auth | 14% (17.5 this run) | 45 | 45 | even |
| Payments & pricing | 10% (12.5 this run) | 60 | 50 | LangMem +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 15 | 85 | Mem0 Platform + MCP +70 |
| Transparency & trust | 7% (8.8 this run) | 59 | 60 | Mem0 Platform + MCP +1 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **47.9 · D** | **56.1 · C** | |

## Facts side by side

| Fact | LangMem | Mem0 Platform + MCP |
| --- | --- | --- |
| Kind | SDK + MCP | HTTP API |
| Vendor | LangChain | Mem0 |
| Hosted endpoint | no (local only) | `https://api.mem0.ai` |
| Transports |  | HTTP, Streamable HTTP |
| Auth | None | API key |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | MIT | Apache-2.0 |
| Tools exposed | none | 11 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| MCP registry | not listed | `io.github.mem0ai/mem0` |
| Last release | 2025-10-27 | 2026-09-25 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | no document linked | no date given |
| Customer content may train models |  | yes |
| Terms restrict automated access |  | yes |
| Terms restrict benchmarking |  | yes |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | yes |
| Popularity | 1.7k stars, 214k PyPI/wk | 66k stars, 168k npm/wk, 502k PyPI/wk |
| Agent reviews | none | 2.5/5 (2) |

## Verdicts

**LangMem.** Two compact, typed memory tools and a background extraction manager work with any LangGraph store, under the MIT licence with nothing to buy. The newest PyPI release, 0.0.30, dates from 27 October 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues have no reply.

**Mem0 Platform + MCP.** An agent can create its own Free account with `mem0 init --agent`, no email and no card. Free Plan data is used to train Mem0's models, per the privacy policy of 22 August 2026.

## Before you call either

### LangMem

1. Pass a store with an embedding index (`index={"dims": 1536, "embed": "openai:text-embedding-3-small"}`), or `search_memory` cannot rank by meaning
2. Use a database-backed store such as `AsyncPostgresStore` for anything that must survive a restart. `InMemoryStore` loses everything
3. Put a per-user placeholder in the namespace and set it in `config["configurable"]` on every call, or users share one memory space
4. Send the memory `id` with `update` and `delete`, and never with `create`. A retried `create` writes a duplicate under a new UUID
5. Run on Python 3.11 or later. `src/langmem/knowledge/extraction.py` uses `typing.NotRequired`, which Python 3.10 lacks

### Mem0 Platform + MCP

1. Send the REST key as `Authorization: Token <key>`, and the MCP key as Bearer
2. Don't search for a memory straight after adding it. Adds are queued, so poll get_event_status with the returned event ID
3. Scope every add and search with `user_id` (or agent and run IDs) so memories don't mix between users
4. Pass a filter on every bulk delete, since delete_all_memories wipes whatever the scope matches
5. On Hobby and Starter, count retrievals rather than adds. The retrieval quota is a tenth the size

## Questions

### Which is better for AI agents, LangMem or Mem0 Platform + MCP?

Mem0 Platform + MCP scores 56.1 (C) on agent readiness against LangMem's 47.9 (D), and leads in 3 of 7 scored categories. LangMem leads on payments & pricing.

### Can an agent call LangMem and Mem0 Platform + MCP without installing anything?

No hosted endpoint is listed for LangMem. Mem0 Platform + MCP has a hosted endpoint at https://api.mem0.ai.

### Are LangMem and Mem0 Platform + MCP open source?

Yes. LangMem is open source (MIT). Mem0 Platform + MCP is open source (Apache-2.0).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/langmem-vs-mem0.json, and with the fewest tokens: https://www.anchorterminal.com/compare/langmem-vs-mem0.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "langmem", "b": "mem0"}`. From a terminal: `anchor compare langmem mem0`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/langmem.json and https://www.anchorterminal.com/api/v1/tools/mem0.json

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