Comparison
pmb vs automem
Verdict
Pick pmb if pmb - Local-first persistent memory for AI coding agents; pick automem if autoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
Markdown twin · pmb alternatives · automem alternatives
GraphCanon updated 1d
Trust & integrity
| Signal | pmb | automem |
|---|---|---|
| Maintenance | Active (11d since push) As of 4w · github_public_v1 | Active (7d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Organization account As of 1d · 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.
- automem
- Graph-vector memory service for durable, relational AI assistant memory
Stars
- pmb
- 279
- automem
- 802
Forks
- pmb
- 16
- automem
- 102
Open issues
- pmb
- 5
- automem
- 15
Language
- pmb
- Python
- automem
- Python
Adopt for
- pmb
- pmb - Local-first persistent memory for AI coding agents
- automem
- AutoMem leverages both graph and vector database technologies to provide AI assistants with durable relational memory.
Persona
- pmb
- -
- automem
- -
Runtime
- pmb
- -
- automem
- -
License
- pmb
- Apache-2.0
- automem
- AutoMem is licensed under the MIT License, which means it is free to use, modify, and distribute as long as license terms are met.
Last pushed
- pmb
- Jul 13, 2026
- automem
- Aug 14, 2026
Categories
- pmb
- AI Agents, Data & Retrieval
- automem
- AI Agents, Vector Databases
Trust and health
Days since push
- pmb
- 11d
- automem
- 7d
Open issues (now)
- pmb
- 5
- automem
- 15
Stars delta
- pmb
- Unknown
- automem
- +9 (30d)
Open issues delta
- pmb
- Unknown
- automem
- +4 (30d)
Owner type
- pmb
- User
- automem
- Organization
Full report
- pmb
- Trust report
- automem
- Trust report
Choose pmb if…
- License: pmb is Apache-2.0, automem is MIT.
- Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup..
- Tags unique to pmb: ai-agents, bm25, claude-code, codex.
- Also covers Data & Retrieval.
- - 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 automem if…
- License: automem is MIT, pmb is Apache-2.0.
- Pricing: Free for open-source use, with no explicit commercial licensing information provided..
- Tags unique to automem: anthropic, falkordb, graph-database, llm.
- Also covers Vector Databases.
- automem ships Docker support for self-hosted deployment.
- Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time.
When NOT to use automem
- Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead.
- If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill.
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 (verygoodplugins/automem) · observed Aug 21, 2026
- GitHub forks (verygoodplugins/automem) · observed Aug 21, 2026
- Last push (verygoodplugins/automem) · observed Aug 14, 2026
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pmb 279 · automem 802 (synced Jul 24, 2026).
Common questions
- What is the difference between pmb and automem?
- pmb: Local-first persistent memory for AI coding agents with offline and multilingual capabilities.. automem: Graph-vector memory service for durable, relational AI assistant memory. See the comparison table for live GitHub stats and shared categories.
- When should I choose pmb over automem?
- Choose pmb over automem when License: pmb is Apache-2.0, automem is MIT; Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.; Tags unique to pmb: ai-agents, bm25, claude-code, codex; Also covers Data & Retrieval; - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex.
- When should I choose automem over pmb?
- Choose automem over pmb when License: automem is MIT, pmb is Apache-2.0; Pricing: Free for open-source use, with no explicit commercial licensing information provided.; Tags unique to automem: anthropic, falkordb, graph-database, llm; Also covers Vector Databases; automem ships Docker support for self-hosted deployment; Use AutoMem when you need an AI assistant capable of maintaining rich, relational memories over time.
- 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 automem?
- Avoid using AutoMem if your application does not benefit from persistent memory or relational context, as it might add unnecessary overhead. If you require a simpler key-value storage system for less complex or non-relational data, AutoMem's graph and vector capabilities may be overkill.
- Is pmb or automem more popular on GitHub?
- automem has more GitHub stars (802 vs 279). Stars measure visibility, not whether either tool fits your constraints.
- Are pmb and automem open source?
- Yes - both are open-source projects on GitHub (pmb: Apache-2.0, automem: MIT).
- Where can I find alternatives to pmb or automem?
- GraphCanon lists graph-backed alternatives at pmb alternatives and automem alternatives (pmb markdown twin, automem 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 automem?
- pmb: Active. automem: 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 automem?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pmb trust report; automem trust report.