Open Source · Memory and Vector
mem0
by mem0
Memory layer for AI apps. Personalisation, continuity, and recall as a service.
Our verdict
We have not reviewed mem0 yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About mem0
mem0 is a memory layer for LLM apps that handles extraction, storage, and recall of user-specific facts across sessions. Drop in front of any LLM call to give an app persistent personalisation. Available as a hosted API or fully self-hosted from the open-source repo.
Best for
Product teams who want memory without building the storage layer
Use cases
- Personalise an assistant across conversations without rolling your own memory layer
- Persist user preferences, history, and context across sessions
- Add memory to an existing LLM app in a couple of hours
- Audit what the agent remembers about a given user
Notes
Why it matters
Memory is the next layer in LLM apps after retrieval. mem0 packages it as a service you can plug in, instead of a problem you have to architect.
How teams use it in production
Wire mem0 in front of every chat call. Tag memories with user ID. Review the memory store periodically and prune stale facts.
What to watch
The memory layer is becoming the personalisation layer. The vendor who owns that surface for AI apps is a real position to compete for.
Pros
- Hosted or self-hosted, the choice is real
- Drop-in front of any LLM call, minimal refactor
- Memory extraction is opinionated and works well by default
- Audit tools for inspecting what was remembered
Cons
- Hosted version is a SaaS dependency
- Less low-level control than Letta on memory schema
- Overhead for short-lived agents
Key facts
What we have checked
- Latest version
- ts-v3.3.1 (released 25 Sept 2026)
- Days since the last commit
- 0
- GitHub forks
- 8,149
- GitHub stars
- 68,545
- Days to a first reply on issues
- 0.3
- Open issues
- 461
- Releases in the last 90 days
- 37
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How mem0 is growing
66,006 to 68,545
Health and security
Is mem0 looked after, and what do its setup files show
Health score
100 out of 100
| Part | Points | What we saw |
|---|---|---|
| Recent activity | 30 of 30 | Last push 0 days ago |
| Releases | 15 of 15 | 37 releases in 90 days |
| Issue replies | 20 of 20 | First reply in 0.3 days (median) |
| Maintainer | 15 of 15 | Owned by an organisation |
| Official source | Not counted | MCP servers only |
Alternatives
Alternatives to mem0
| Record | Type | How we know | Checked |
|---|---|---|---|
| elvismdev/mem0-mcp-selfhostedAlternative to this | MCP server | Named in the listing | Not dated |
| Honcho Memory for HermesAlternative to this | Skill | Named in the listing | Not dated |
| LettaAlternative to this | Open source | Named in the listing | Not dated |
| TeleAI-UAGI/telememAlternative to this | MCP server | Named in the listing | Not dated |
Compare
Compare mem0 side by side
Sources
Where this comes from
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released ts-v3.3.1
Released 2.2.1
Released deepseek-plugin-v0.3.2
Released pi-agent-v0.3.2
Released openclaw-v1.2.1
Released opencode-v0.4.1
Released ts-v3.3.0
Released 2.2.0
Released openclaw-v1.2.0
Released opencode-v0.4.0
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
elvismdev/mem0-mcp-selfhosted
Various
Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.
TeleAI-UAGI/telemem
Various
TeleMem is a high-performance drop-in replacement for Mem0, featuring semantic deduplication, long-term dialogue memory, and multimodal video reasoning.
Letta
Letta
Stateful agents with first-class memory. The continuation of MemGPT, productionised.
Honcho Memory for Hermes
Nous Research
Set up and troubleshoot Honcho cross-session memory for Hermes Agent, cloud or self-hosted.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Milvus
Community
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Qdrant
Community
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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