Comparison
Memori vs MemOS
Verdict
Pick Memori if memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云; 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 · Memori alternatives · MemOS alternatives
GraphCanon updated 3d
Trust & integrity
| Signal | Memori | MemOS |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · 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
- Memori
- Agent-native memory infrastructure for LLM systems
- MemOS
- Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse
Stars
- Memori
- 16k
- MemOS
- 11k
Forks
- Memori
- 3.2k
- MemOS
- 994
Open issues
- Memori
- 33
- MemOS
- 84
Language
- Memori
- Python
- MemOS
- TypeScript
Adopt for
- Memori
- Memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云
- 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
- Memori
- -
- MemOS
- -
Runtime
- Memori
- -
- MemOS
- -
License
- Memori
- Other
- MemOS
- MemOS is available under the Apache-2.0 license, allowing you to use it freely with certain conditions.
Last pushed
- Memori
- Aug 18, 2026
- MemOS
- Aug 18, 2026
Categories
- Memori
- AI Agents, Data & Retrieval
- MemOS
- AI Agents, Data & Retrieval
Trust and health
Open issues (now)
- Memori
- 33
- MemOS
- 84
Stars delta
- Memori
- +515 (30d)
- MemOS
- +497 (30d)
Open issues delta
- Memori
- +7 (30d)
- MemOS
- +4 (30d)
Full report
- Memori
- Trust report
- MemOS
- Trust report
Typed relationship
Memori alternative MemOSMemORI and MemOS both address the need for persistent memory infrastructure in AI agents, though MemOS emphasizes self-evolution and token efficiency.
Shared compatibility
- Node.js · Memori: Node.js runtime · MemOS: Node.js runtime
Choose Memori if…
- Memori is primarily Python; MemOS is TypeScript.
- License: Memori is Other, MemOS is Apache-2.0.
- MemORI and MemOS both address the need for persistent memory infrastructure in AI agents, though MemOS emphasizes self-evolution and token efficiency.
- Tags unique to Memori: agent-memory, enterprise, python, rag.
- 您需要一个可以在多种部署环境中工作的内存基础设施，包括云端和本地环境时。
When NOT to use Memori
- （TypeScriptPython），MemoriSDK。
Choose MemOS if…
- MemOS is primarily TypeScript; Memori is Python.
- License: MemOS is Apache-2.0, Memori is Other.
- 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..
- MemORI and MemOS both address the need for persistent memory infrastructure in AI agents, though MemOS emphasizes self-evolution and token efficiency.
- Tags unique to MemOS: agent, agentic-ai, long-term-memory.
- 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 (MemoriLabs/Memori) · observed Aug 18, 2026
- GitHub forks (MemoriLabs/Memori) · observed Aug 18, 2026
- Last push (MemoriLabs/Memori) · observed Aug 18, 2026
- License file (Other) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 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: Memori 16k · MemOS 11k (synced Aug 18, 2026).
Common questions
- What is the difference between Memori and MemOS?
- Memori: Agent-native memory infrastructure for LLM systems. 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 Memori over MemOS?
- Choose Memori over MemOS when Memori is primarily Python; MemOS is TypeScript; License: Memori is Other, MemOS is Apache-2.0; MemORI and MemOS both address the need for persistent memory infrastructure in AI agents, though MemOS emphasizes self-evolution and token efficiency; Tags unique to Memori: agent-memory, enterprise, python, rag; 您需要一个可以在多种部署环境中工作的内存基础设施，包括云端和本地环境时。.
- When should I choose MemOS over Memori?
- Choose MemOS over Memori when MemOS is primarily TypeScript; Memori is Python; License: MemOS is Apache-2.0, Memori is Other; 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.; MemORI and MemOS both address the need for persistent memory infrastructure in AI agents, though MemOS emphasizes self-evolution and token efficiency; Tags unique to MemOS: agent, agentic-ai, long-term-memory; If you require ultra-persistent memory management within your application for long-term storage.
- When should I avoid Memori?
- （TypeScriptPython），MemoriSDK。
- 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 Memori or MemOS more popular on GitHub?
- Memori has more GitHub stars (16,130 vs 10,758). Stars measure visibility, not whether either tool fits your constraints.
- Are Memori and MemOS open source?
- Yes - both are open-source projects on GitHub (Memori: Other, MemOS: Apache-2.0).
- Where can I find alternatives to Memori or MemOS?
- GraphCanon lists graph-backed alternatives at Memori alternatives and MemOS alternatives (Memori 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, Memori or MemOS?
- Memori: 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 Memori and MemOS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Memori trust report; MemOS trust report.