Comparison
memory-os vs honcho
Verdict
Pick memory-os if memory-OS is a memory operating system tailored for Hermes Agent, focusing on local-first, self-hosted persistent storage and seamless integration with any LLM provider using Qdrant as the vector database; pick honcho if memory Library for Stateful Agents.
Markdown twin · memory-os alternatives · honcho alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | memory-os | honcho |
|---|---|---|
| Maintenance | Steady (41d since push) As of 3w · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of today · 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
- memory-os
- A 7-layer memory operating system for Hermes Agent with persistent memory and context injection
- honcho
- Memory library for building stateful agents
Stars
- memory-os
- 1.3k
- honcho
- 6.7k
Forks
- memory-os
- 120
- honcho
- 824
Open issues
- memory-os
- 7
- honcho
- 163
Language
- memory-os
- Python
- honcho
- Python
Adopt for
- memory-os
- Memory-OS is a memory operating system tailored for Hermes Agent, focusing on local-first, self-hosted persistent storage and seamless integration with any LLM provider using Qdrant as the vector database.
- honcho
- Memory Library for Stateful Agents
Persona
- memory-os
- -
- honcho
- -
Runtime
- memory-os
- -
- honcho
- -
License
- memory-os
- MIT
- honcho
- AGPL-3.0
Last pushed
- memory-os
- Jun 10, 2026
- honcho
- Aug 18, 2026
Categories
- memory-os
- AI Agents, Vector Databases
- honcho
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- memory-os
- Steady (60%)
- honcho
- Very active (96%)
Days since push
- memory-os
- 41d
- honcho
- 0d
Open issues (now)
- memory-os
- 7
- honcho
- 163
Stars delta
- memory-os
- Unknown
- honcho
- +659 (30d)
Open issues delta
- memory-os
- Unknown
- honcho
- -3 (30d)
Owner type
- memory-os
- User
- honcho
- Organization
Full report
- memory-os
- Trust report
- honcho
- Trust report
Typed relationship
memory-os alternative honchoHoncho and claudiodrews/memory-os both function as memory systems for AI agents, though Honcho emphasizes stateful understanding over time while Memory OS provides a layered approach.
Shared compatibility
- Python · memory-os: Python runtime · honcho: Python runtime
Choose memory-os if…
- License: memory-os is MIT, honcho is AGPL-3.0.
- Honcho and claudiodrews/memory-os both function as memory systems for AI agents, though Honcho emphasizes stateful understanding over time while Memory OS provides a layered approach.
- Tags unique to memory-os: ai-memory, context-injection, docker, ground-truth.
- Also covers Vector Databases.
- - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally.
When NOT to use memory-os
- - If you are looking for a completely cloud-managed service without any local setup or maintenance needs.
- - Your use case does not align with Hermes Agent; Memory-OS is specifically designed to complement this agent's functions and won't provide the same benefits when used independently.
Choose honcho if…
- License: honcho is AGPL-3.0, memory-os is MIT.
- Honcho and claudiodrews/memory-os both function as memory systems for AI agents, though Honcho emphasizes stateful understanding over time while Memory OS provides a layered approach.
- Tags unique to honcho: agent-memory, ai-agents, embeddings, langchain.
- Also covers Data & Retrieval.
- 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 (ClaudioDrews/memory-os) · observed Jul 22, 2026
- GitHub forks (ClaudioDrews/memory-os) · observed Jul 22, 2026
- Last push (ClaudioDrews/memory-os) · observed Jun 10, 2026
- License file (MIT) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: memory-os 1.3k · honcho 6.7k (synced Jul 22, 2026).
Common questions
- What is the difference between memory-os and honcho?
- memory-os: A 7-layer memory operating system for Hermes Agent with persistent memory and context injection. honcho: Memory library for building stateful agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose memory-os over honcho?
- Choose memory-os over honcho when License: memory-os is MIT, honcho is AGPL-3.0; Honcho and claudiodrews/memory-os both function as memory systems for AI agents, though Honcho emphasizes stateful understanding over time while Memory OS provides a layered approach; Tags unique to memory-os: ai-memory, context-injection, docker, ground-truth; Also covers Vector Databases; - You are working with Hermes Agent and require a sophisticated memory management solution that operates locally.
- When should I choose honcho over memory-os?
- Choose honcho over memory-os when License: honcho is AGPL-3.0, memory-os is MIT; Honcho and claudiodrews/memory-os both function as memory systems for AI agents, though Honcho emphasizes stateful understanding over time while Memory OS provides a layered approach; Tags unique to honcho: agent-memory, ai-agents, embeddings, langchain; Also covers Data & Retrieval; honcho ships Docker support for self-hosted deployment; Requires managing long-term and contextual memory in AI agents for statefulness.
- When should I avoid memory-os?
- - If you are looking for a completely cloud-managed service without any local setup or maintenance needs. - Your use case does not align with Hermes Agent; Memory-OS is specifically designed to complement this agent's functions and won't provide the same benefits when used independently.
- 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 memory-os or honcho more popular on GitHub?
- honcho has more GitHub stars (6,703 vs 1,291). Stars measure visibility, not whether either tool fits your constraints.
- Are memory-os and honcho open source?
- Yes - both are open-source projects on GitHub (memory-os: MIT, honcho: AGPL-3.0).
- Where can I find alternatives to memory-os or honcho?
- GraphCanon lists graph-backed alternatives at memory-os alternatives and honcho alternatives (memory-os 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, memory-os or honcho?
- memory-os: Steady. 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 memory-os and honcho?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: memory-os trust report; honcho trust report.