Comparison
mem0 vs pmb
Verdict
Pick mem0 if mem0 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments; pick pmb if pmb - Local-first persistent memory for AI coding agents.
Markdown twin · mem0 alternatives · pmb alternatives
GraphCanon updated Sep 20, 2026
5views this month
Trust & integrity
| Signal | mem0 | pmb |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Active (27d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 26, 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
- mem0
- Drop-in memory infrastructure for AI agents and apps
- pmb
- Local-first persistent memory for AI coding agents with offline and multilingual capabilities.
Stars
- mem0
- 66k
- pmb
- 276
Forks
- mem0
- 7.7k
- pmb
- 26
Open issues
- mem0
- 754
- pmb
- 4
Language
- mem0
- Python
- pmb
- Python
Adopt for
- mem0
- mem0 is a Python-based memory infrastructure for AI agents and applications, offering a persistent context layer suitable for production environments.
- pmb
- pmb - Local-first persistent memory for AI coding agents
Persona
- mem0
- -
- pmb
- -
Runtime
- mem0
- -
- pmb
- -
License
- mem0
- mem0 is distributed under the Apache-2.0 license, allowing for broad usage and modification with attribution.
- pmb
- Apache-2.0
Last pushed
- mem0
- Sep 18, 2026
- pmb
- Aug 24, 2026
Categories
- mem0
- AI Agents, Data & Retrieval
- pmb
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- mem0
- Very active (96%)
- pmb
- Active (82%)
Days since push
- mem0
- 0d
- pmb
- 27d
Open issues (now)
- mem0
- 754
- pmb
- 4
Stars delta
- mem0
- +2.8k (30d)
- pmb
- -3 (30d)
Open issues delta
- mem0
- +63 (30d)
- pmb
- -1 (30d)
Owner type
- mem0
- Organization
- pmb
- User
Full report
- mem0
- Trust report
- pmb
- Trust report
Choose mem0 if…
- Pricing: The core functionality of mem0 is free to use under the Apache-2.0 license, but additional features or support might come at a cost..
- Requirements: Min 2 GB RAM; Python environment is required for installation and use..
- Tags unique to mem0: agentic-memory, genai, long-term-memory, memory-management.
- When you need a persistent memory layer for AI agents that can be easily integrated into existing applications without significant changes.
When NOT to use mem0
- If your project is not in Python, as mem0 is specifically designed for Python environments.
- When you require a more customizable memory management system that allows for extensive configuration beyond what mem0 offers.
- If your application does not need a persistent memory layer or if the existing memory management solutions are sufficient.
Choose pmb if…
- Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup..
- Tags unique to pmb: ai-memory, bm25, claude-code, codex.
- - 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mem0ai/mem0) · observed Sep 20, 2026
- GitHub forks (mem0ai/mem0) · observed Sep 20, 2026
- Last push (mem0ai/mem0) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (oleksiijko/pmb) · observed Sep 20, 2026
- GitHub forks (oleksiijko/pmb) · observed Sep 20, 2026
- Last push (oleksiijko/pmb) · observed Aug 24, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 26, 2026
GitHub stars on cards: mem0 66k · pmb 276 (synced Sep 20, 2026).
Common questions
- What is the difference between mem0 and pmb?
- mem0: Drop-in memory infrastructure for AI agents and apps. pmb: Local-first persistent memory for AI coding agents with offline and multilingual capabilities.. See the comparison table for live GitHub stats and shared categories.
- When should I choose mem0 over pmb?
- Choose mem0 over pmb when Pricing: The core functionality of mem0 is free to use under the Apache-2.0 license, but additional features or support might come at a cost.; Requirements: Min 2 GB RAM; Python environment is required for installation and use.; Tags unique to mem0: agentic-memory, genai, long-term-memory, memory-management; When you need a persistent memory layer for AI agents that can be easily integrated into existing applications without significant changes.
- When should I choose pmb over mem0?
- Choose pmb over mem0 when Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.; Tags unique to pmb: ai-memory, bm25, claude-code, codex; - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex.
- When should I avoid mem0?
- If your project is not in Python, as mem0 is specifically designed for Python environments. When you require a more customizable memory management system that allows for extensive configuration beyond what mem0 offers. If your application does not need a persistent memory layer or if the existing memory management solutions are sufficient.
- 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.
- Is mem0 or pmb more popular on GitHub?
- mem0 has more GitHub stars (65,557 vs 276). Stars measure visibility, not whether either tool fits your constraints.
- Are mem0 and pmb open source?
- Yes - both are open-source projects on GitHub (mem0: Apache-2.0, pmb: Apache-2.0).
- Where can I find alternatives to mem0 or pmb?
- GraphCanon lists graph-backed alternatives at mem0 alternatives and pmb alternatives (mem0 markdown twin, pmb 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, mem0 or pmb?
- mem0: Very active. pmb: 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 mem0 and pmb?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mem0 trust report; pmb trust report.