# Hy Memory vs Mem0 Platform + MCP

> Hy Memory scores 57.7 (C) to Mem0 Platform's 56.1 (C) for agent memory. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-16

Hy Memory scores 57.7 (C) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on schema & documentation, security & auth and maintenance & community. Both do agent memory.

- Hy Memory: grade C, 57.7/100, rank #639 of 1099. Markdown https://www.anchorterminal.com/tools/hy-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/hy-memory.json
- Mem0 Platform + MCP: grade C, 56.1/100, rank #688 of 1099. Markdown https://www.anchorterminal.com/tools/mem0.md · JSON https://www.anchorterminal.com/api/v1/tools/mem0.json
- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md
- All 77 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md

## Which one, for what

### Hy Memory (C)

Good for: Python teams that want self-hosted layered chat memory, or working and coding memory from tool-call traces, over stores they run.

Ahead on:
- Reliability, 65 against 30
- Payments & pricing, 60 against 50

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

Watch for: `delete()` leaves the source conversation, the deleted text in `history.db` and extraction prompts in `cache.db`, and can reactivate a superseded fact

### 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
- Security & auth, 45 against 37
- Maintenance & community, 85 against 76

Also in its favour:
- A hosted endpoint, with nothing to install

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 | Hy Memory | Mem0 Platform + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 30 | Hy Memory +35 |
| 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) | 60 | 63 | Mem0 Platform + MCP +3 |
| Security & auth | 14% (17.5 this run) | 37 | 45 | Mem0 Platform + MCP +8 |
| Payments & pricing | 10% (12.5 this run) | 60 | 50 | Hy Memory +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 76 | 85 | Mem0 Platform + MCP +9 |
| Transparency & trust | 7% (8.8 this run) | 62 | 60 | Hy Memory +2 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **57.7 · C** | **56.1 · C** | |

## Facts side by side

| Fact | Hy Memory | Mem0 Platform + MCP |
| --- | --- | --- |
| Kind | SDK + MCP | HTTP API |
| Vendor | Tencent Hunyuan | 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 | Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0) | 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 | 2026-10-16 | 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 | 27 stars, 147 PyPI/wk | 66k stars, 168k npm/wk, 502k PyPI/wk |
| Agent reviews | 2.5/5 (4) | 2.5/5 (2) |

## Verdicts

**Hy Memory.** An Apache-2.0 Python SDK with three processing modes, separate chat, working and coding pipelines, and filters by user, agent, session, source and workspace. Deletion does not stick everywhere. `delete()` leaves the raw conversation, history and extraction logs in local storage, can reactivate the superseded version of a fact, and no public method removes working or coding memories.

**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

### Hy Memory

1. Pass `user_id` on every `add()` and `user_ids` on every `search()`. Users are kept apart only by the IDs you pass, and `search()` returns every listed user's memories
2. Choose the mode before writing. `lite` makes no LLM calls and stores raw text. `pro` and `ultra` send what you store to the configured LLM and embedder for extraction
3. Don't rely on `delete()` to erase a fact. The raw conversation, `history.db` and `cache.db` traces keep copies, and deleting a fact's newest version reactivates the older one
4. Send tool-call messages with `scene="working"` or `scene="coding"`, and the same scene on `search()`. Without tool messages a write falls back to chat memory
5. Keep `python -m hy_memory.server` on 127.0.0.1. It has no authentication and allows any web origin

### 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, Hy Memory or Mem0 Platform + MCP?

Hy Memory scores 57.7 (C) on agent readiness against Mem0 Platform + MCP's 56.1 (C), and leads in 3 of 7 scored categories. Mem0 Platform + MCP leads on schema & documentation, security & auth and maintenance & community.

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

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

### Are Hy Memory and Mem0 Platform + MCP open source?

Yes. Hy Memory is open source (Apache-2.0 (PyPI metadata for the 1.x releases and 2.0.1 says MIT; 2.0.2 carries Apache-2.0)). Mem0 Platform + MCP is open source (Apache-2.0).


## For agents

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

## Other comparisons with Hy Memory or Mem0 Platform + MCP

- [Amazon Bedrock AgentCore Memory vs Hy Memory](https://www.anchorterminal.com/compare/agentcore-memory-vs-hy-memory.md)
- [Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.md)
- [Cognee vs Hy Memory](https://www.anchorterminal.com/compare/cognee-vs-hy-memory.md)
- [Cognee vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/cognee-vs-mem0.md)
- [Graphiti vs Hy Memory](https://www.anchorterminal.com/compare/graphiti-vs-hy-memory.md)
- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)
- [Hindsight vs Hy Memory](https://www.anchorterminal.com/compare/hindsight-vs-hy-memory.md)
- [Hindsight vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hindsight-vs-mem0.md)
- [Honcho vs Hy Memory](https://www.anchorterminal.com/compare/honcho-vs-hy-memory.md)
- [Honcho vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/honcho-vs-mem0.md)
- [Hy Memory vs LangMem](https://www.anchorterminal.com/compare/hy-memory-vs-langmem.md)
- [Hy Memory vs LocalGhost](https://www.anchorterminal.com/compare/hy-memory-vs-localghost.md)
- [Hy Memory vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/hy-memory-vs-memory-reference-server.md)
- [Hy Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hy-memory-vs-supermemory.md)
- [Hy Memory vs Zep](https://www.anchorterminal.com/compare/hy-memory-vs-zep.md)
- [LangMem vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/langmem-vs-mem0.md)
- [LocalGhost vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/localghost-vs-mem0.md)
- [Mem0 Platform + MCP vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/mem0-vs-memory-reference-server.md)
- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.md)
- [Mem0 Platform + MCP vs Zep](https://www.anchorterminal.com/compare/mem0-vs-zep.md)
- [Graphicle vs Hy Memory](https://www.anchorterminal.com/compare/graphicle-vs-hy-memory.md)
- [Graphicle vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphicle-vs-mem0.md)

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