Comparison
OpenMemory vs mem0
Verdict
Pick OpenMemory if openMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot; pick mem0 if mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.
Markdown twin · OpenMemory alternatives · mem0 alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | OpenMemory | mem0 |
|---|---|---|
| Maintenance | Active (24d since push) As of 1mo · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1mo · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- OpenMemory
- Local persistent memory store for LLM applications
- mem0
- Universal memory layer for AI Agents
Stars
- OpenMemory
- 4.4k
- mem0
- 63k
Forks
- OpenMemory
- 494
- mem0
- 7.3k
Open issues
- OpenMemory
- 13
- mem0
- 691
Language
- OpenMemory
- TypeScript
- mem0
- Python
Adopt for
- OpenMemory
- OpenMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot.
- mem0
- Mem0 provides a universal memory layer that focuses on long-term memory and state management specifically for AI Agents.
Persona
- OpenMemory
- -
- mem0
- -
Runtime
- OpenMemory
- -
- mem0
- -
License
- OpenMemory
- Apache-2.0
- mem0
- Apache-2.0
Last pushed
- OpenMemory
- Jun 27, 2026
- mem0
- Aug 7, 2026
Categories
- OpenMemory
- Data & Retrieval, Vector Databases
- mem0
- AI Agents
Trust and health
Maintenance
- OpenMemory
- Active (82%)
- mem0
- Very active (96%)
Days since push
- OpenMemory
- 24d
- mem0
- 0d
Open issues (now)
- OpenMemory
- 13
- mem0
- 691
Stars delta
- OpenMemory
- Unknown
- mem0
- +2.4k (30d)
Open issues delta
- OpenMemory
- Unknown
- mem0
- +187 (30d)
Full report
- OpenMemory
- Trust report
- mem0
- Trust report
Typed relationship
OpenMemory alternative mem0Both OpenMemory and mem0 provide memory storage solutions for AI agents aiming to solve the problem of persistent memory.
Shared compatibility
- Node.js · OpenMemory: Node.js runtime · mem0: Node.js runtime
Choose OpenMemory if…
- OpenMemory is primarily TypeScript; mem0 is Python.
- Both OpenMemory and mem0 provide memory storage solutions for AI agents aiming to solve the problem of persistent memory.
- Tags unique to OpenMemory: ai-agents, embeddings, memory-engine, vector-database.
- Also covers Data & Retrieval, Vector Databases.
- OpenMemory ships Docker support for self-hosted deployment.
- Need to integrate persistent memory support for specific LLMs like Claude.
When NOT to use OpenMemory
- Require cloud-based memory storage services.
- Your project must use languages other than TypeScript.
- Seek a generic vector database without specific LLM integrations.
Choose mem0 if…
- mem0 is primarily Python; OpenMemory is TypeScript.
- Pricing: Mem0 is available under the Apache-2.0 license which is free to use. However, additional enterprise support or premium features may have associated costs..
- Requirements: Min 4 GB RAM.
- Both OpenMemory and mem0 provide memory storage solutions for AI agents aiming to solve the problem of persistent memory.
- Tags unique to mem0: agents, ai, chatbots, llm.
- Also covers AI Agents.
- - You are working on an AI agent or chatbot application where maintaining a long-term memory is crucial.
When NOT to use mem0
- - If your application does not require the retention of historical context for effective performance over multiple sessions.
- - When you are looking for a general-purpose library or framework that offers features beyond memory management and state handling, such as natural language processing or machine learning models.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (CaviraOSS/OpenMemory) · observed Jul 21, 2026
- GitHub forks (CaviraOSS/OpenMemory) · observed Jul 21, 2026
- Last push (CaviraOSS/OpenMemory) · observed Jun 27, 2026
- License file (Apache-2.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (mem0ai/mem0) · observed Aug 7, 2026
- GitHub forks (mem0ai/mem0) · observed Aug 7, 2026
- Last push (mem0ai/mem0) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: OpenMemory 4.4k · mem0 63k (synced Jul 21, 2026).
Common questions
- What is the difference between OpenMemory and mem0?
- OpenMemory: Local persistent memory store for LLM applications. mem0: Universal memory layer for AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose OpenMemory over mem0?
- Choose OpenMemory over mem0 when OpenMemory is primarily TypeScript; mem0 is Python; Both OpenMemory and mem0 provide memory storage solutions for AI agents aiming to solve the problem of persistent memory; Tags unique to OpenMemory: ai-agents, embeddings, memory-engine, vector-database; Also covers Data & Retrieval, Vector Databases; OpenMemory ships Docker support for self-hosted deployment; Need to integrate persistent memory support for specific LLMs like Claude.
- When should I choose mem0 over OpenMemory?
- Choose mem0 over OpenMemory when mem0 is primarily Python; OpenMemory is TypeScript; Pricing: Mem0 is available under the Apache-2.0 license which is free to use. However, additional enterprise support or premium features may have associated costs.; Requirements: Min 4 GB RAM; Both OpenMemory and mem0 provide memory storage solutions for AI agents aiming to solve the problem of persistent memory; Tags unique to mem0: agents, ai, chatbots, llm; Also covers AI Agents; - You are working on an AI agent or chatbot application where maintaining a long-term memory is crucial.
- When should I avoid OpenMemory?
- Require cloud-based memory storage services. Your project must use languages other than TypeScript. Seek a generic vector database without specific LLM integrations.
- When should I avoid mem0?
- - If your application does not require the retention of historical context for effective performance over multiple sessions. - When you are looking for a general-purpose library or framework that offers features beyond memory management and state handling, such as natural language processing or machine learning models.
- Is OpenMemory or mem0 more popular on GitHub?
- mem0 has more GitHub stars (62,757 vs 4,357). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenMemory and mem0 open source?
- Yes - both are open-source projects on GitHub (OpenMemory: Apache-2.0, mem0: Apache-2.0).
- Where can I find alternatives to OpenMemory or mem0?
- GraphCanon lists graph-backed alternatives at OpenMemory alternatives and mem0 alternatives (OpenMemory markdown twin, mem0 markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, OpenMemory or mem0?
- OpenMemory: Active. mem0: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for OpenMemory and mem0?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenMemory trust report; mem0 trust report.