Comparison
OpenMemory vs MemOS
Verdict
Pick OpenMemory if openMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot; pick MemOS if memOS is a self-evolving operating system tailored for LSTM systems and AI agents, offering ultra-persistent memory, hybrid retrieval technologies, and skill reuse across tasks.
Markdown twin · OpenMemory alternatives · MemOS alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | OpenMemory | MemOS |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 3d · 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
- MemOS
- Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse
Stars
- OpenMemory
- 4.5k
- MemOS
- 11k
Forks
- OpenMemory
- 501
- MemOS
- 994
Open issues
- OpenMemory
- 18
- MemOS
- 84
Language
- OpenMemory
- TypeScript
- MemOS
- TypeScript
Adopt for
- OpenMemory
- OpenMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot.
- MemOS
- MemOS is a self-evolving operating system tailored for LSTM systems and AI agents, offering ultra-persistent memory, hybrid retrieval technologies, and skill reuse across tasks.
Persona
- OpenMemory
- -
- MemOS
- -
Runtime
- OpenMemory
- -
- MemOS
- -
License
- OpenMemory
- Apache-2.0
- MemOS
- MemOS is available under the Apache-2.0 license, allowing you to use it freely with certain conditions.
Last pushed
- OpenMemory
- Aug 20, 2026
- MemOS
- Aug 18, 2026
Categories
- OpenMemory
- Data & Retrieval, Vector Databases
- MemOS
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- OpenMemory
- 18
- MemOS
- 84
Stars delta
- OpenMemory
- +100 (30d)
- MemOS
- +497 (30d)
Open issues delta
- OpenMemory
- +5 (30d)
- MemOS
- +4 (30d)
Full report
- OpenMemory
- Trust report
- MemOS
- Trust report
Typed relationship
OpenMemory alternative MemOSBoth OpenMemory and MemOS provide local persistent memory solutions for LLM applications, with MemOS adding self-evolving capabilities and token savings.
Shared compatibility
- Node.js · OpenMemory: Node.js runtime · MemOS: Node.js runtime
Choose OpenMemory if…
- Both OpenMemory and MemOS provide local persistent memory solutions for LLM applications, with MemOS adding self-evolving capabilities and token savings.
- Tags unique to OpenMemory: ai-agents, embeddings, memory-engine, vector-database.
- Also covers Vector Databases.
- 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 MemOS if…
- Pricing: Pricing details are not clearly specified in the repository data, but the self-hosted option provides flexibility at the expense of managing infrastructure costs..
- Requirements: Requires Docker; Self-hosting MemOS typically requires setting up Neo4j and Qdrant. The cloud API or OpenClaw Cloud Plugin options do not require these components..
- Both OpenMemory and MemOS provide local persistent memory solutions for LLM applications, with MemOS adding self-evolving capabilities and token savings.
- Tags unique to MemOS: agent, agentic-ai, llm, memory-management.
- Also covers AI Agents.
- If you require ultra-persistent memory management within your application for long-term storage.
When NOT to use MemOS
- If you prefer fully managed solutions and have no preference over where your data is stored (hosted in MemOS Cloud).
- When minimal setup overhead is a critical requirement since self-hosting MemOS necessitates Neo4j and Qdrant for optimal performance.
- In scenarios preferring simpler on-device solutions as MemOS could be more complex to set up compared to other lightweight plugins or services.
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 Aug 21, 2026
- GitHub forks (CaviraOSS/OpenMemory) · observed Aug 21, 2026
- Last push (CaviraOSS/OpenMemory) · observed Aug 20, 2026
- License file (Apache-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MemTensor/MemOS) · observed Aug 18, 2026
- GitHub forks (MemTensor/MemOS) · observed Aug 18, 2026
- Last push (MemTensor/MemOS) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: OpenMemory 4.5k · MemOS 11k (synced Aug 21, 2026).
Common questions
- What is the difference between OpenMemory and MemOS?
- OpenMemory: Local persistent memory store for LLM applications. MemOS: Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse. See the comparison table for live GitHub stats and shared categories.
- When should I choose OpenMemory over MemOS?
- Choose OpenMemory over MemOS when Both OpenMemory and MemOS provide local persistent memory solutions for LLM applications, with MemOS adding self-evolving capabilities and token savings; Tags unique to OpenMemory: ai-agents, embeddings, memory-engine, vector-database; Also covers Vector Databases; Need to integrate persistent memory support for specific LLMs like Claude.
- When should I choose MemOS over OpenMemory?
- Choose MemOS over OpenMemory when Pricing: Pricing details are not clearly specified in the repository data, but the self-hosted option provides flexibility at the expense of managing infrastructure costs.; Requirements: Requires Docker; Self-hosting MemOS typically requires setting up Neo4j and Qdrant. The cloud API or OpenClaw Cloud Plugin options do not require these components.; Both OpenMemory and MemOS provide local persistent memory solutions for LLM applications, with MemOS adding self-evolving capabilities and token savings; Tags unique to MemOS: agent, agentic-ai, llm, memory-management; Also covers AI Agents; If you require ultra-persistent memory management within your application for long-term storage.
- 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 MemOS?
- If you prefer fully managed solutions and have no preference over where your data is stored (hosted in MemOS Cloud). When minimal setup overhead is a critical requirement since self-hosting MemOS necessitates Neo4j and Qdrant for optimal performance. In scenarios preferring simpler on-device solutions as MemOS could be more complex to set up compared to other lightweight plugins or services.
- Is OpenMemory or MemOS more popular on GitHub?
- MemOS has more GitHub stars (10,758 vs 4,457). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenMemory and MemOS open source?
- Yes - both are open-source projects on GitHub (OpenMemory: Apache-2.0, MemOS: Apache-2.0).
- Where can I find alternatives to OpenMemory or MemOS?
- GraphCanon lists graph-backed alternatives at OpenMemory alternatives and MemOS alternatives (OpenMemory markdown twin, MemOS 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 MemOS?
- OpenMemory: Very active. MemOS: 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 MemOS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenMemory trust report; MemOS trust report.