Comparison
Ori-Mnemos vs agentic-rag-for-dummies
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 agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
Markdown twin · Ori-Mnemos alternatives · agentic-rag-for-dummies alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | Ori-Mnemos | agentic-rag-for-dummies |
|---|---|---|
| Maintenance | Active (23d since push) As of 2d · github_public_v1 | Active (19d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2d · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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).
- agentic-rag-for-dummies
- A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents
Stars
- Ori-Mnemos
- 319
- agentic-rag-for-dummies
- 3.9k
Forks
- Ori-Mnemos
- 27
- agentic-rag-for-dummies
- 499
Open issues
- Ori-Mnemos
- 1
- agentic-rag-for-dummies
- 0
Language
- Ori-Mnemos
- TypeScript
- agentic-rag-for-dummies
- Jupyter Notebook
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.
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
Persona
- Ori-Mnemos
- -
- agentic-rag-for-dummies
- -
Runtime
- Ori-Mnemos
- -
- agentic-rag-for-dummies
- -
License
- Ori-Mnemos
- Apache-2.0
- agentic-rag-for-dummies
- MIT
Last pushed
- Ori-Mnemos
- Jul 30, 2026
- agentic-rag-for-dummies
- Jul 25, 2026
Categories
- Ori-Mnemos
- AI Agents, Data & Retrieval
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
Trust and health
Days since push
- Ori-Mnemos
- 23d
- agentic-rag-for-dummies
- 19d
Open issues (now)
- Ori-Mnemos
- 1
- agentic-rag-for-dummies
- 0
Stars delta
- Ori-Mnemos
- +5 (30d)
- agentic-rag-for-dummies
- Unknown
Open issues delta
- Ori-Mnemos
- +1 (30d)
- agentic-rag-for-dummies
- Unknown
OSV dependency advisories
- Ori-Mnemos
- No lockfile (source not queried)
- agentic-rag-for-dummies
- Published findings
Full report
- Ori-Mnemos
- Trust report
- agentic-rag-for-dummies
- Trust report
Shared compatibility
- Python · Ori-Mnemos: Python runtime · agentic-rag-for-dummies: Python runtime
Choose Ori-Mnemos if…
- Ori-Mnemos is primarily TypeScript; agentic-rag-for-dummies is Jupyter Notebook.
- License: Ori-Mnemos is Apache-2.0, agentic-rag-for-dummies is MIT.
- Tags unique to Ori-Mnemos: agent-memory, ai-agents, knowledge-graph, local-first.
- 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 agentic-rag-for-dummies if…
- agentic-rag-for-dummies is primarily Jupyter Notebook; Ori-Mnemos is TypeScript.
- License: agentic-rag-for-dummies is MIT, Ori-Mnemos is Apache-2.0.
- Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio.
- When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
When NOT to use agentic-rag-for-dummies
- If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details.
- Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment.
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 (GiovanniPasq/agentic-rag-for-dummies) · observed Aug 14, 2026
- GitHub forks (GiovanniPasq/agentic-rag-for-dummies) · observed Aug 14, 2026
- Last push (GiovanniPasq/agentic-rag-for-dummies) · observed Jul 25, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: Ori-Mnemos 319 · agentic-rag-for-dummies 3.9k (synced Aug 23, 2026).
Common questions
- What is the difference between Ori-Mnemos and agentic-rag-for-dummies?
- Ori-Mnemos: Local-first persistent agentic memory powered by Recursive Memory Harness (RMH).. agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose Ori-Mnemos over agentic-rag-for-dummies?
- Choose Ori-Mnemos over agentic-rag-for-dummies when Ori-Mnemos is primarily TypeScript; agentic-rag-for-dummies is Jupyter Notebook; License: Ori-Mnemos is Apache-2.0, agentic-rag-for-dummies is MIT; Tags unique to Ori-Mnemos: agent-memory, ai-agents, knowledge-graph, local-first; 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 agentic-rag-for-dummies over Ori-Mnemos?
- Choose agentic-rag-for-dummies over Ori-Mnemos when agentic-rag-for-dummies is primarily Jupyter Notebook; Ori-Mnemos is TypeScript; License: agentic-rag-for-dummies is MIT, Ori-Mnemos is Apache-2.0; Tags unique to agentic-rag-for-dummies: agent, agentic-ai, bm25, gradio; When aiming to quickly develop a retrieval-augmented generation agent, thanks to its streamlined setup with LangGraph.
- 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 agentic-rag-for-dummies?
- If smaller language model sizes are required as they might ignore retrieval instructions or hallucinate details. Projects sensitive about Docker and system requirements must carefully review the outlined conditions for deployment.
- Is Ori-Mnemos or agentic-rag-for-dummies more popular on GitHub?
- agentic-rag-for-dummies has more GitHub stars (3,893 vs 319). Stars measure visibility, not whether either tool fits your constraints.
- Are Ori-Mnemos and agentic-rag-for-dummies open source?
- Yes - both are open-source projects on GitHub (Ori-Mnemos: Apache-2.0, agentic-rag-for-dummies: MIT).
- Where can I find alternatives to Ori-Mnemos or agentic-rag-for-dummies?
- GraphCanon lists graph-backed alternatives at Ori-Mnemos alternatives and agentic-rag-for-dummies alternatives (Ori-Mnemos markdown twin, agentic-rag-for-dummies 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 agentic-rag-for-dummies?
- Ori-Mnemos: Active. agentic-rag-for-dummies: 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 agentic-rag-for-dummies?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Ori-Mnemos trust report; agentic-rag-for-dummies trust report.