Comparison
agentic-rag-for-dummies vs honcho
Verdict
Pick agentic-rag-for-dummies if agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models; pick honcho if memory Library for Stateful Agents.
Markdown twin · agentic-rag-for-dummies alternatives · honcho alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | agentic-rag-for-dummies | honcho |
|---|---|---|
| Maintenance | Active (19d since push) As of 6d · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 6d · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | Published findings 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
- agentic-rag-for-dummies
- A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents
- honcho
- Memory library for building stateful agents
Stars
- agentic-rag-for-dummies
- 3.9k
- honcho
- 6.7k
Forks
- agentic-rag-for-dummies
- 499
- honcho
- 824
Open issues
- agentic-rag-for-dummies
- 0
- honcho
- 163
Language
- agentic-rag-for-dummies
- Jupyter Notebook
- honcho
- Python
Adopt for
- agentic-rag-for-dummies
- Agentic RAG for Dummies simplifies the setup of retrieval-augmented generation agents using LangGraph and Ollama models.
- honcho
- Memory Library for Stateful Agents
Persona
- agentic-rag-for-dummies
- -
- honcho
- -
Runtime
- agentic-rag-for-dummies
- -
- honcho
- -
License
- agentic-rag-for-dummies
- MIT
- honcho
- AGPL-3.0
Last pushed
- agentic-rag-for-dummies
- Jul 25, 2026
- honcho
- Aug 18, 2026
Categories
- agentic-rag-for-dummies
- AI Agents, Data & Retrieval
- honcho
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- agentic-rag-for-dummies
- Active (82%)
- honcho
- Very active (96%)
Days since push
- agentic-rag-for-dummies
- 19d
- honcho
- 0d
Open issues (now)
- agentic-rag-for-dummies
- 0
- honcho
- 163
Stars delta
- agentic-rag-for-dummies
- Unknown
- honcho
- +659 (30d)
Open issues delta
- agentic-rag-for-dummies
- Unknown
- honcho
- -3 (30d)
Owner type
- agentic-rag-for-dummies
- User
- honcho
- Organization
OSV dependency advisories
- agentic-rag-for-dummies
- Published findings
- honcho
- No lockfile (source not queried)
Full report
- agentic-rag-for-dummies
- Trust report
- honcho
- Trust report
Shared compatibility
- Python · agentic-rag-for-dummies: Python runtime · honcho: Python runtime
Choose agentic-rag-for-dummies if…
- agentic-rag-for-dummies is primarily Jupyter Notebook; honcho is Python.
- License: agentic-rag-for-dummies is MIT, honcho is AGPL-3.0.
- 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.
Choose honcho if…
- honcho is primarily Python; agentic-rag-for-dummies is Jupyter Notebook.
- License: honcho is AGPL-3.0, agentic-rag-for-dummies is MIT.
- Tags unique to honcho: agent-memory, ai-agents, embeddings, long-term-memory.
- honcho ships Docker support for self-hosted deployment.
- Requires managing long-term and contextual memory in AI agents for statefulness.
When NOT to use honcho
- Do not need complex SDK support or a customizable framework approach.
- Not interested in using stateful capabilities leveraging multiple APIs such as Gemini, Anthropic, and OpenAI.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (plastic-labs/honcho) · observed Aug 18, 2026
- GitHub forks (plastic-labs/honcho) · observed Aug 18, 2026
- Last push (plastic-labs/honcho) · observed Aug 18, 2026
- License file (AGPL-3.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agentic-rag-for-dummies 3.9k · honcho 6.7k (synced Aug 14, 2026).
Common questions
- What is the difference between agentic-rag-for-dummies and honcho?
- agentic-rag-for-dummies: A modular Agentic RAG built with LangGraph for learning Retrieval-Augmented Generation Agents. honcho: Memory library for building stateful agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentic-rag-for-dummies over honcho?
- Choose agentic-rag-for-dummies over honcho when agentic-rag-for-dummies is primarily Jupyter Notebook; honcho is Python; License: agentic-rag-for-dummies is MIT, honcho is AGPL-3.0; 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 choose honcho over agentic-rag-for-dummies?
- Choose honcho over agentic-rag-for-dummies when honcho is primarily Python; agentic-rag-for-dummies is Jupyter Notebook; License: honcho is AGPL-3.0, agentic-rag-for-dummies is MIT; Tags unique to honcho: agent-memory, ai-agents, embeddings, long-term-memory; honcho ships Docker support for self-hosted deployment; Requires managing long-term and contextual memory in AI agents for statefulness.
- 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.
- When should I avoid honcho?
- Do not need complex SDK support or a customizable framework approach. Not interested in using stateful capabilities leveraging multiple APIs such as Gemini, Anthropic, and OpenAI.
- Is agentic-rag-for-dummies or honcho more popular on GitHub?
- honcho has more GitHub stars (6,703 vs 3,893). Stars measure visibility, not whether either tool fits your constraints.
- Are agentic-rag-for-dummies and honcho open source?
- Yes - both are open-source projects on GitHub (agentic-rag-for-dummies: MIT, honcho: AGPL-3.0).
- Where can I find alternatives to agentic-rag-for-dummies or honcho?
- GraphCanon lists graph-backed alternatives at agentic-rag-for-dummies alternatives and honcho alternatives (agentic-rag-for-dummies markdown twin, honcho 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, agentic-rag-for-dummies or honcho?
- agentic-rag-for-dummies: Active. honcho: 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 agentic-rag-for-dummies and honcho?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentic-rag-for-dummies trust report; honcho trust report.