Comparison
Ori-Mnemos vs pmb
Verdict
Pick Ori-Mnemos if ori-Mnemos is a local-first, persistent agentic memory system leveraging SQLite and TypeScript. It incorporates Recursive Memory Harness (RMH) for AI agents; pick pmb if pmb - Local-first persistent memory for AI coding agents.
Markdown twin · Ori-Mnemos alternatives · pmb alternatives
GraphCanon updated 4w
Trust & integrity
| Signal | Ori-Mnemos | pmb |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1mo · github_public_v1 | Active (11d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Personal account As of 1mo · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 4w · 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
- Ori-Mnemos
- Local-first persistent agentic memory powered by Recursive Memory Harness (RMH).
- pmb
- Local-first persistent memory for AI coding agents with offline and multilingual capabilities.
Stars
- Ori-Mnemos
- 314
- pmb
- 279
Forks
- Ori-Mnemos
- 28
- pmb
- 16
Open issues
- Ori-Mnemos
- 0
- pmb
- 5
Language
- Ori-Mnemos
- TypeScript
- pmb
- Python
Adopt for
- Ori-Mnemos
- Ori-Mnemos is a local-first, persistent agentic memory system leveraging SQLite and TypeScript. It incorporates Recursive Memory Harness (RMH) for AI agents.
- pmb
- pmb - Local-first persistent memory for AI coding agents
Persona
- Ori-Mnemos
- -
- pmb
- -
Runtime
- Ori-Mnemos
- -
- pmb
- -
License
- Ori-Mnemos
- Apache-2.0
- pmb
- Apache-2.0
Last pushed
- Ori-Mnemos
- Jul 22, 2026
- pmb
- Jul 13, 2026
Categories
- Ori-Mnemos
- AI Agents, Data & Retrieval
- pmb
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- Ori-Mnemos
- Very active (96%)
- pmb
- Active (82%)
Days since push
- Ori-Mnemos
- 1d
- pmb
- 11d
Open issues (now)
- Ori-Mnemos
- 0
- pmb
- 5
Full report
- Ori-Mnemos
- Trust report
- pmb
- Trust report
Choose Ori-Mnemos if…
- Ori-Mnemos is primarily TypeScript; pmb is Python.
- Tags unique to Ori-Mnemos: agent-memory, llm, local-first, markdown.
- Ori-Mnemos ships an MCP server manifest.
- When you need a robust, local-first solution that prioritizes offline capabilities and security.
When NOT to use Ori-Mnemos
- When real-time synchronization across devices or cloud integration is a non-negotiable requirement for your application.
- If you are looking for a memory system that leverages distributed databases for scalable access patterns; Ori-Mnemos focuses on local storage using SQLite.
- In environments where complex, multi-node architectures and high availability requirements demand more than a single point of data persistence.
Choose pmb if…
- pmb is primarily Python; Ori-Mnemos is TypeScript.
- 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 (aayoawoyemi/Ori-Mnemos) · observed Jul 24, 2026
- GitHub forks (aayoawoyemi/Ori-Mnemos) · observed Jul 24, 2026
- Last push (aayoawoyemi/Ori-Mnemos) · observed Jul 22, 2026
- License file (Apache-2.0) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: Ori-Mnemos 314 · pmb 279 (synced Jul 24, 2026).
Common questions
- What is the difference between Ori-Mnemos and pmb?
- Ori-Mnemos: Local-first persistent agentic memory powered by Recursive Memory Harness (RMH).. 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 Ori-Mnemos over pmb?
- Choose Ori-Mnemos over pmb when Ori-Mnemos is primarily TypeScript; pmb is Python; Tags unique to Ori-Mnemos: agent-memory, llm, local-first, markdown; Ori-Mnemos ships an MCP server manifest; When you need a robust, local-first solution that prioritizes offline capabilities and security.
- When should I choose pmb over Ori-Mnemos?
- Choose pmb over Ori-Mnemos when pmb is primarily Python; Ori-Mnemos is TypeScript; 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 Ori-Mnemos?
- When real-time synchronization across devices or cloud integration is a non-negotiable requirement for your application. If you are looking for a memory system that leverages distributed databases for scalable access patterns; Ori-Mnemos focuses on local storage using SQLite. In environments where complex, multi-node architectures and high availability requirements demand more than a single point of data persistence.
- 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 Ori-Mnemos or pmb more popular on GitHub?
- Ori-Mnemos has more GitHub stars (314 vs 279). Stars measure visibility, not whether either tool fits your constraints.
- Are Ori-Mnemos and pmb open source?
- Yes - both are open-source projects on GitHub (Ori-Mnemos: Apache-2.0, pmb: Apache-2.0).
- Where can I find alternatives to Ori-Mnemos or pmb?
- GraphCanon lists graph-backed alternatives at Ori-Mnemos alternatives and pmb alternatives (Ori-Mnemos 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, Ori-Mnemos or pmb?
- Ori-Mnemos: 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 Ori-Mnemos and pmb?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Ori-Mnemos trust report; pmb trust report.