Home/Compare/Ori-Mnemos vs mengram

Comparison

Ori-Mnemos vs mengram

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 mengram if mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a.

Markdown twin · Ori-Mnemos alternatives · mengram alternatives

GraphCanon updated Sep 30, 2026

8views this month

Ori-Mnemos logo

Ori-Mnemos

aayoawoyemi/Ori-Mnemos

★ 324pushed Sep 20, 2026
vs
mengram logo

mengram

alibaizhanov/mengram

★ 196pushed Sep 16, 2026

Trust & integrity

SignalOri-Mnemosmengram
Maintenance
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Very active (1d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
Published findings
As of Sep 18, 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

Ori-Mnemos
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH).
mengram
Human-like memory for AI agents

Stars

Ori-Mnemos
324
mengram
196

Forks

Ori-Mnemos
31
mengram
34

Open issues

Ori-Mnemos
1
mengram
25

Language

Ori-Mnemos
TypeScript
mengram
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.
mengram
mengram provides human-like memory capabilities for AI agents, including semantic, episodic, and procedural memory, enabling learning from experiences and failures. It offers free API access, Python and JS SDKs, and is a

Persona

Ori-Mnemos
-
mengram
-

Runtime

Ori-Mnemos
-
mengram
-

License

Ori-Mnemos
Apache-2.0
mengram
Apache-2.0

Last pushed

Ori-Mnemos
Sep 20, 2026
mengram
Sep 16, 2026

Categories

Ori-Mnemos
AI Agents, Data & Retrieval
mengram
AI Agents, Data & Retrieval

Trust and health

Days since push

Ori-Mnemos
0d
mengram
1d

Open issues (now)

Ori-Mnemos
1
mengram
25

Stars delta

Ori-Mnemos
+10 (30d)
mengram
+12 (30d)

Open issues delta

Ori-Mnemos
+1 (30d)
mengram
-2 (30d)

OSV dependency advisories

Ori-Mnemos
No lockfile (source not queried)
mengram
Published findings

Full report

Ori-Mnemos
Trust report

Shared compatibility

  • Cursor · Ori-Mnemos: Works with Cursor · mengram: Works with Cursor

Choose Ori-Mnemos if…

  • Ori-Mnemos is primarily TypeScript; mengram is Python.
  • Tags unique to Ori-Mnemos: knowledge-graph, 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 mengram if…

  • mengram is primarily Python; Ori-Mnemos is TypeScript.
  • Tags unique to mengram: ai-memory, claude-desktop, cognitive-architecture, cohere.
  • mengram ships Docker support for self-hosted deployment.
  • When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities.

When NOT to use mengram

  • If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary.
  • If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server.
  • For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial.
  • If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Ori-Mnemos 324 · mengram 196 (synced Sep 20, 2026).

Common questions

What is the difference between Ori-Mnemos and mengram?
Ori-Mnemos: Local-first persistent agentic memory powered by Recursive Memory Harness (RMH).. mengram: Human-like memory for AI agents. See the comparison table for live GitHub stats and shared categories.
When should I choose Ori-Mnemos over mengram?
Choose Ori-Mnemos over mengram when Ori-Mnemos is primarily TypeScript; mengram is Python; Tags unique to Ori-Mnemos: knowledge-graph, 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 mengram over Ori-Mnemos?
Choose mengram over Ori-Mnemos when mengram is primarily Python; Ori-Mnemos is TypeScript; Tags unique to mengram: ai-memory, claude-desktop, cognitive-architecture, cohere; mengram ships Docker support for self-hosted deployment; When you need an AI agent that can learn from its experiences and failures, leveraging semantic, episodic, and procedural memory capabilities.
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 mengram?
If your project does not require the specific memory capabilities of semantic, episodic, and procedural memory, mengram might offer more features than necessary. If you are looking for a tool that does not require the setup of an MCP server, mengram might not be the best fit as it involves configuring this server. For projects that do not need integration with LangChain, CrewAI, or OpenClaw, the specific integrations provided by mengram may not be beneficial. If your AI agent development does not benefit from the use of pgvector, mengram's recent debugging efforts in this area may not be relevant to your needs.
Is Ori-Mnemos or mengram more popular on GitHub?
Ori-Mnemos has more GitHub stars (324 vs 196). Stars measure visibility, not whether either tool fits your constraints.
Are Ori-Mnemos and mengram open source?
Yes - both are open-source projects on GitHub (Ori-Mnemos: Apache-2.0, mengram: Apache-2.0).
Where can I find alternatives to Ori-Mnemos or mengram?
GraphCanon lists graph-backed alternatives at Ori-Mnemos alternatives and mengram alternatives (Ori-Mnemos markdown twin, mengram 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 mengram?
Ori-Mnemos: Very active. mengram: 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 mengram?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Ori-Mnemos trust report; mengram trust report.

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