Comparison
MemOS vs memsearch
Verdict
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; pick memsearch if memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage.
Markdown twin · MemOS alternatives · memsearch alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | MemOS | memsearch |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2d · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · github_public_v1 | Not a fork · Organization account As of 4w · 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
- MemOS
- Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse
- memsearch
- A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.
Stars
- MemOS
- 11k
- memsearch
- 2.3k
Forks
- MemOS
- 994
- memsearch
- 205
Open issues
- MemOS
- 84
- memsearch
- 231
Language
- MemOS
- TypeScript
- memsearch
- Python
Adopt for
- 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.
- memsearch
- memsearch is a hybrid memory management solution for AI agents with Markdown and Milvus backing, ideal for rich semantic search and long-term data storage.
Persona
- MemOS
- -
- memsearch
- -
Runtime
- MemOS
- -
- memsearch
- -
License
- MemOS
- MemOS is available under the Apache-2.0 license, allowing you to use it freely with certain conditions.
- memsearch
- MIT
Last pushed
- MemOS
- Aug 18, 2026
- memsearch
- Jul 22, 2026
Categories
- MemOS
- AI Agents, Data & Retrieval
- memsearch
- AI Agents, Data & Retrieval, Vector Databases
Trust and health
Open issues (now)
- MemOS
- 84
- memsearch
- 231
Stars delta
- MemOS
- +497 (30d)
- memsearch
- Unknown
Open issues delta
- MemOS
- +4 (30d)
- memsearch
- Unknown
Full report
- MemOS
- Trust report
- memsearch
- Trust report
Choose MemOS if…
- MemOS is primarily TypeScript; memsearch is Python.
- License: MemOS is Apache-2.0, memsearch is MIT.
- 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..
- Tags unique to MemOS: agent, agentic-ai, llm, memory-management.
- MemOS ships Docker support for self-hosted deployment.
- 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.
Choose memsearch if…
- memsearch is primarily Python; MemOS is TypeScript.
- License: memsearch is MIT, MemOS is Apache-2.0.
- Tags unique to memsearch: agent-memory, milvus, semantic-search.
- Also covers Vector Databases.
- When you need robust integration with AI agents like Claude Code or Codex
When NOT to use memsearch
- If your application doesn't require integration with specific AI agents like Claude Code
- In cases where only simple text data storage without semantic search is needed
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (zilliztech/memsearch) · observed Jul 22, 2026
- GitHub forks (zilliztech/memsearch) · observed Jul 22, 2026
- Last push (zilliztech/memsearch) · observed Jul 22, 2026
- License file (MIT) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: MemOS 11k · memsearch 2.3k (synced Aug 18, 2026).
Common questions
- What is the difference between MemOS and memsearch?
- MemOS: Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse. memsearch: A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.. See the comparison table for live GitHub stats and shared categories.
- When should I choose MemOS over memsearch?
- Choose MemOS over memsearch when MemOS is primarily TypeScript; memsearch is Python; License: MemOS is Apache-2.0, memsearch is MIT; 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.; Tags unique to MemOS: agent, agentic-ai, llm, memory-management; MemOS ships Docker support for self-hosted deployment; If you require ultra-persistent memory management within your application for long-term storage.
- When should I choose memsearch over MemOS?
- Choose memsearch over MemOS when memsearch is primarily Python; MemOS is TypeScript; License: memsearch is MIT, MemOS is Apache-2.0; Tags unique to memsearch: agent-memory, milvus, semantic-search; Also covers Vector Databases; When you need robust integration with AI agents like Claude Code or Codex.
- 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.
- When should I avoid memsearch?
- If your application doesn't require integration with specific AI agents like Claude Code In cases where only simple text data storage without semantic search is needed
- Is MemOS or memsearch more popular on GitHub?
- MemOS has more GitHub stars (10,758 vs 2,336). Stars measure visibility, not whether either tool fits your constraints.
- Are MemOS and memsearch open source?
- Yes - both are open-source projects on GitHub (MemOS: Apache-2.0, memsearch: MIT).
- Where can I find alternatives to MemOS or memsearch?
- GraphCanon lists graph-backed alternatives at MemOS alternatives and memsearch alternatives (MemOS markdown twin, memsearch 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, MemOS or memsearch?
- MemOS: Very active. memsearch: 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 MemOS and memsearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MemOS trust report; memsearch trust report.