Comparison
pmb vs memsearch
Verdict
Pick pmb if pmb - Local-first persistent memory for AI coding agents; 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 · pmb alternatives · memsearch alternatives
GraphCanon updated today
Trust & integrity
| Signal | pmb | memsearch |
|---|---|---|
| Maintenance | Active (11d since push) As of 4w · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 3w · 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
- pmb
- Local-first persistent memory for AI coding agents with offline and multilingual capabilities.
- memsearch
- A persistent, unified memory layer for all your AI agents backed by Markdown and Milvus.
Stars
- pmb
- 279
- memsearch
- 2.5k
Forks
- pmb
- 16
- memsearch
- 231
Open issues
- pmb
- 5
- memsearch
- 240
Language
- pmb
- Python
- memsearch
- Python
Adopt for
- pmb
- pmb - Local-first persistent memory for AI coding agents
- 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
- pmb
- -
- memsearch
- -
Runtime
- pmb
- -
- memsearch
- -
License
- pmb
- Apache-2.0
- memsearch
- MIT
Last pushed
- pmb
- Jul 13, 2026
- memsearch
- Aug 21, 2026
Categories
- pmb
- AI Agents, Data & Retrieval
- memsearch
- AI Agents, Data & Retrieval, Vector Databases
Trust and health
Maintenance
- pmb
- Active (82%)
- memsearch
- Very active (96%)
Days since push
- pmb
- 11d
- memsearch
- 0d
Open issues (now)
- pmb
- 5
- memsearch
- 240
Stars delta
- pmb
- Unknown
- memsearch
- +155 (30d)
Open issues delta
- pmb
- Unknown
- memsearch
- +9 (30d)
Owner type
- pmb
- User
- memsearch
- Organization
Full report
- pmb
- Trust report
- memsearch
- Trust report
Choose pmb if…
- License: pmb is Apache-2.0, memsearch is MIT.
- Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup..
- Tags unique to pmb: ai-agents, ai-memory, bm25, claude-code.
- - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex.
When NOT to use pmb
- - In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization.
- - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage.
- - When the specific use case does not benefit from having multilingual capabilities for AI coding tasks.
Choose memsearch if…
- License: memsearch is MIT, pmb is Apache-2.0.
- Tags unique to memsearch: agent-memory, long-term-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 (oleksiijko/pmb) · observed Jul 24, 2026
- GitHub forks (oleksiijko/pmb) · observed Jul 24, 2026
- Last push (oleksiijko/pmb) · observed Jul 13, 2026
- License file (Apache-2.0) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 26, 2026
- GitHub stars (zilliztech/memsearch) · observed Aug 22, 2026
- GitHub forks (zilliztech/memsearch) · observed Aug 22, 2026
- Last push (zilliztech/memsearch) · observed Aug 21, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pmb 279 · memsearch 2.5k (synced Jul 24, 2026).
Common questions
- What is the difference between pmb and memsearch?
- pmb: Local-first persistent memory for AI coding agents with offline and multilingual capabilities.. 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 pmb over memsearch?
- Choose pmb over memsearch when License: pmb is Apache-2.0, memsearch is MIT; Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.; Tags unique to pmb: ai-agents, ai-memory, bm25, claude-code; - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex.
- When should I choose memsearch over pmb?
- Choose memsearch over pmb when License: memsearch is MIT, pmb is Apache-2.0; Tags unique to memsearch: agent-memory, long-term-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 pmb?
- - In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization. - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage. - When the specific use case does not benefit from having multilingual capabilities for AI coding tasks.
- 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 pmb or memsearch more popular on GitHub?
- memsearch has more GitHub stars (2,491 vs 279). Stars measure visibility, not whether either tool fits your constraints.
- Are pmb and memsearch open source?
- Yes - both are open-source projects on GitHub (pmb: Apache-2.0, memsearch: MIT).
- Where can I find alternatives to pmb or memsearch?
- GraphCanon lists graph-backed alternatives at pmb alternatives and memsearch alternatives (pmb 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, pmb or memsearch?
- pmb: 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 pmb and memsearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pmb trust report; memsearch trust report.