Comparison
Ori-Mnemos vs Memori
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 Memori if memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云.
Markdown twin · Ori-Mnemos alternatives · Memori alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | Ori-Mnemos | Memori |
|---|---|---|
| Maintenance | Active (23d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · 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
- Ori-Mnemos
- Local-first persistent agentic memory powered by Recursive Memory Harness (RMH).
- Memori
- Agent-native memory infrastructure for LLM systems
Stars
- Ori-Mnemos
- 319
- Memori
- 16k
Forks
- Ori-Mnemos
- 27
- Memori
- 3.2k
Open issues
- Ori-Mnemos
- 1
- Memori
- 33
Language
- Ori-Mnemos
- TypeScript
- Memori
- 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.
- Memori
- Memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云
Persona
- Ori-Mnemos
- -
- Memori
- -
Runtime
- Ori-Mnemos
- -
- Memori
- -
License
- Ori-Mnemos
- Apache-2.0
- Memori
- Other
Last pushed
- Ori-Mnemos
- Jul 30, 2026
- Memori
- Aug 18, 2026
Categories
- Ori-Mnemos
- AI Agents, Data & Retrieval
- Memori
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- Ori-Mnemos
- Active (82%)
- Memori
- Very active (96%)
Days since push
- Ori-Mnemos
- 23d
- Memori
- 0d
Open issues (now)
- Ori-Mnemos
- 1
- Memori
- 33
Stars delta
- Ori-Mnemos
- +5 (30d)
- Memori
- +515 (30d)
Open issues delta
- Ori-Mnemos
- +1 (30d)
- Memori
- +7 (30d)
Owner type
- Ori-Mnemos
- User
- Memori
- Organization
Full report
- Ori-Mnemos
- Trust report
- Memori
- Trust report
Shared compatibility
- Node.js · Ori-Mnemos: Node.js runtime · Memori: Node.js runtime
- Python · Ori-Mnemos: Python runtime · Memori: Python runtime
Choose Ori-Mnemos if…
- Ori-Mnemos is primarily TypeScript; Memori is Python.
- License: Ori-Mnemos is Apache-2.0, Memori is Other.
- Tags unique to Ori-Mnemos: ai-agents, knowledge-graph, 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 Memori if…
- Memori is primarily Python; Ori-Mnemos is TypeScript.
- License: Memori is Other, Ori-Mnemos is Apache-2.0.
- Tags unique to Memori: enterprise, memory-management, python, rag.
- Memori ships Docker support for self-hosted deployment.
- 您需要一个可以在多种部署环境中工作的内存基础设施，包括云端和本地环境时。
When NOT to use Memori
- （TypeScriptPython），MemoriSDK。
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 Aug 23, 2026
- GitHub forks (aayoawoyemi/Ori-Mnemos) · observed Aug 23, 2026
- Last push (aayoawoyemi/Ori-Mnemos) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MemoriLabs/Memori) · observed Aug 18, 2026
- GitHub forks (MemoriLabs/Memori) · observed Aug 18, 2026
- Last push (MemoriLabs/Memori) · observed Aug 18, 2026
- License file (Other) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Ori-Mnemos 319 · Memori 16k (synced Aug 23, 2026).
Common questions
- What is the difference between Ori-Mnemos and Memori?
- Ori-Mnemos: Local-first persistent agentic memory powered by Recursive Memory Harness (RMH).. Memori: Agent-native memory infrastructure for LLM systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose Ori-Mnemos over Memori?
- Choose Ori-Mnemos over Memori when Ori-Mnemos is primarily TypeScript; Memori is Python; License: Ori-Mnemos is Apache-2.0, Memori is Other; Tags unique to Ori-Mnemos: ai-agents, knowledge-graph, 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 Memori over Ori-Mnemos?
- Choose Memori over Ori-Mnemos when Memori is primarily Python; Ori-Mnemos is TypeScript; License: Memori is Other, Ori-Mnemos is Apache-2.0; Tags unique to Memori: enterprise, memory-management, python, rag; Memori ships Docker support for self-hosted deployment; 您需要一个可以在多种部署环境中工作的内存基础设施，包括云端和本地环境时。.
- 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 Memori?
- （TypeScriptPython），MemoriSDK。
- Is Ori-Mnemos or Memori more popular on GitHub?
- Memori has more GitHub stars (16,130 vs 319). Stars measure visibility, not whether either tool fits your constraints.
- Are Ori-Mnemos and Memori open source?
- Yes - both are open-source projects on GitHub (Ori-Mnemos: Apache-2.0, Memori: Other).
- Where can I find alternatives to Ori-Mnemos or Memori?
- GraphCanon lists graph-backed alternatives at Ori-Mnemos alternatives and Memori alternatives (Ori-Mnemos markdown twin, Memori 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 Memori?
- Ori-Mnemos: Active. Memori: 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 Ori-Mnemos and Memori?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Ori-Mnemos trust report; Memori trust report.