Comparison
OpenMemory vs memsearch
Verdict
Pick OpenMemory if openMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot; 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 · OpenMemory alternatives · memsearch alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | OpenMemory | memsearch |
|---|---|---|
| Maintenance | Very active (5d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- memsearch
- A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.
Stars
- OpenMemory
- 4.5k
- memsearch
- 2.6k
Forks
- OpenMemory
- 504
- memsearch
- 253
Open issues
- OpenMemory
- 19
- memsearch
- 254
Language
- OpenMemory
- TypeScript
- memsearch
- Python
Adopt for
- OpenMemory
- OpenMemory offers local storage tailored for AI agents like Claude Desktop and GitHub Copilot.
- 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
- OpenMemory
- -
- memsearch
- -
Runtime
- OpenMemory
- -
- memsearch
- -
License
- OpenMemory
- Apache-2.0
- memsearch
- MIT
Last pushed
- OpenMemory
- Sep 14, 2026
- memsearch
- Sep 20, 2026
Categories
- OpenMemory
- Data & Retrieval, Vector Databases
- memsearch
- AI Agents, Data & Retrieval, Vector Databases
Trust and health
Days since push
- OpenMemory
- 5d
- memsearch
- 0d
Open issues (now)
- OpenMemory
- 19
- memsearch
- 254
Stars delta
- OpenMemory
- +153 (30d)
- memsearch
- +291 (30d)
Open issues delta
- OpenMemory
- +6 (30d)
- memsearch
- +23 (30d)
Full report
- OpenMemory
- Trust report
- memsearch
- Trust report
Choose OpenMemory if…
- OpenMemory is primarily TypeScript; memsearch is Python.
- License: OpenMemory is Apache-2.0, memsearch is MIT.
- Tags unique to OpenMemory: ai-agents, embeddings, memory-engine, vector-database.
- OpenMemory ships Docker support for self-hosted deployment.
- OpenMemory ships an MCP server manifest.
- 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 memsearch if…
- memsearch is primarily Python; OpenMemory is TypeScript.
- License: memsearch is MIT, OpenMemory is Apache-2.0.
- Tags unique to memsearch: agent-memory, milvus, semantic-search.
- Also covers AI Agents.
- 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 (CaviraOSS/OpenMemory) · observed Sep 20, 2026
- GitHub forks (CaviraOSS/OpenMemory) · observed Sep 20, 2026
- Last push (CaviraOSS/OpenMemory) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/memsearch) · observed Sep 20, 2026
- GitHub forks (zilliztech/memsearch) · observed Sep 20, 2026
- Last push (zilliztech/memsearch) · observed Sep 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: OpenMemory 4.5k · memsearch 2.6k (synced Sep 20, 2026).
Common questions
- What is the difference between OpenMemory and memsearch?
- OpenMemory: Local persistent memory store for LLM applications. 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 OpenMemory over memsearch?
- Choose OpenMemory over memsearch when OpenMemory is primarily TypeScript; memsearch is Python; License: OpenMemory is Apache-2.0, memsearch is MIT; Tags unique to OpenMemory: ai-agents, embeddings, memory-engine, vector-database; OpenMemory ships Docker support for self-hosted deployment; OpenMemory ships an MCP server manifest; Need to integrate persistent memory support for specific LLMs like Claude.
- When should I choose memsearch over OpenMemory?
- Choose memsearch over OpenMemory when memsearch is primarily Python; OpenMemory is TypeScript; License: memsearch is MIT, OpenMemory is Apache-2.0; Tags unique to memsearch: agent-memory, milvus, semantic-search; Also covers AI Agents; When you need robust integration with AI agents like Claude Code or Codex.
- 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 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 OpenMemory or memsearch more popular on GitHub?
- OpenMemory has more GitHub stars (4,510 vs 2,627). Stars measure visibility, not whether either tool fits your constraints.
- Are OpenMemory and memsearch open source?
- Yes - both are open-source projects on GitHub (OpenMemory: Apache-2.0, memsearch: MIT).
- Where can I find alternatives to OpenMemory or memsearch?
- GraphCanon lists graph-backed alternatives at OpenMemory alternatives and memsearch alternatives (OpenMemory 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, OpenMemory or memsearch?
- OpenMemory: 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 OpenMemory and memsearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: OpenMemory trust report; memsearch trust report.