Comparison
honcho vs memsearch
Verdict
Pick honcho when license: honcho is AGPL-3.0, memsearch is MIT; pick memsearch when license: memsearch is MIT, honcho is AGPL-3.0.
Markdown twin · honcho alternatives · memsearch alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | honcho | memsearch |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- honcho
- Memory library for building stateful agents
- memsearch
- A persistent, unified memory layer for AI agents backed by Markdown and Milvus.
Stars
- honcho
- 5.9k
- memsearch
- 2.2k
Forks
- honcho
- 707
- memsearch
- 194
Open issues
- honcho
- 161
- memsearch
- 224
Language
- honcho
- Python
- memsearch
- Python
Adopt for
- honcho
- A Python memory library designed for building stateful AI agents with a focus on long-term and contextual memory management.
- memsearch
- -
Persona
- honcho
- -
- memsearch
- -
Runtime
- honcho
- -
- memsearch
- -
License
- honcho
- AGPL-3.0: The software is free to use, distribute, and modify but requires that derivative works be similarly distributed as AGPL-3.0 under the same license.
- memsearch
- MIT
Last pushed
- honcho
- Jul 10, 2026
- memsearch
- Jul 10, 2026
Categories
- honcho
- AI Agents, LLM Frameworks, Vector Databases
- memsearch
- AI Agents, Vector Databases
Trust and health
Days since push
- honcho
- 0d
- memsearch
- 1d
Open issues (now)
- honcho
- 161
- memsearch
- 224
Full report
- honcho
- Trust report
- memsearch
- Trust report
Choose honcho if…
- License: honcho is AGPL-3.0, memsearch is MIT.
- Honcho can be run locally using Docker, allowing for full control over the environment where it operates.
- Requirements: - Requires setting up LLM API keys (Gemini, Anthropic, OpenAI) for certain functionalities.; - Python SDK needs to point to `http://localhost:8000` after Docker setup..
- Tags unique to honcho: ai, ai-memory, anthropic, context-engineering.
- Also covers LLM Frameworks.
- honcho ships Docker support for self-hosted deployment.
- - You are developing stateful AI agents that require robust, contextual, and long-term memory capabilities.
When NOT to use honcho
- - If your use case does not require long-term or contextual memory management, as honcho might introduce unnecessary complexity.
- - In scenarios where a proprietary license is required, given honcho's AGPL-3.0 license may have implications for open-sourcing modifications.
Choose memsearch if…
- License: memsearch is MIT, honcho is AGPL-3.0.
- Tags unique to memsearch: agent, claude-code, codex, hybrid-search.
When NOT to use memsearch
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (plastic-labs/honcho) · observed Jul 11, 2026
- GitHub forks (plastic-labs/honcho) · observed Jul 11, 2026
- Last push (plastic-labs/honcho) · observed Jul 10, 2026
- License file (AGPL-3.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/memsearch) · observed Jul 11, 2026
- GitHub forks (zilliztech/memsearch) · observed Jul 11, 2026
- Last push (zilliztech/memsearch) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: honcho 5.9k · memsearch 2.2k (synced Jul 11, 2026).
Common questions
- What is the difference between honcho and memsearch?
- honcho: Memory library for building stateful agents. memsearch: A persistent, unified memory layer for AI agents backed by Markdown and Milvus.. See the comparison table for live GitHub stats and shared categories.
- When should I choose honcho over memsearch?
- Choose honcho over memsearch when License: honcho is AGPL-3.0, memsearch is MIT; Honcho can be run locally using Docker, allowing for full control over the environment where it operates; Requirements: - Requires setting up LLM API keys (Gemini, Anthropic, OpenAI) for certain functionalities.; - Python SDK needs to point to
http://localhost:8000after Docker setup.; Tags unique to honcho: ai, ai-memory, anthropic, context-engineering; Also covers LLM Frameworks; honcho ships Docker support for self-hosted deployment; - You are developing stateful AI agents that require robust, contextual, and long-term memory capabilities. - When should I choose memsearch over honcho?
- Choose memsearch over honcho when License: memsearch is MIT, honcho is AGPL-3.0; Tags unique to memsearch: agent, claude-code, codex, hybrid-search.
- When should I avoid honcho?
- - If your use case does not require long-term or contextual memory management, as honcho might introduce unnecessary complexity. - In scenarios where a proprietary license is required, given honcho's AGPL-3.0 license may have implications for open-sourcing modifications.
- When should I avoid memsearch?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is honcho or memsearch more popular on GitHub?
- honcho has more GitHub stars (5,902 vs 2,228). Stars measure visibility, not whether either tool fits your constraints.
- Are honcho and memsearch open source?
- Yes - both are open-source projects on GitHub (honcho: AGPL-3.0, memsearch: MIT).
- Where can I find alternatives to honcho or memsearch?
- GraphCanon lists graph-backed alternatives at honcho alternatives and memsearch alternatives (honcho markdown twin, memsearch 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, honcho or memsearch?
- honcho: Very active. memsearch: 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 honcho and memsearch?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: honcho trust report; memsearch trust report.