Home/Compare/pmb vs honcho

Comparison

pmb vs honcho

Verdict

Pick pmb if pmb - Local-first persistent memory for AI coding agents; pick honcho if memory Library for Stateful Agents.

Markdown twin · pmb alternatives · honcho alternatives

GraphCanon updated 2d

pmb logo

pmb

oleksiijko/pmb

295pushed Aug 17, 2026
vs
honcho logo

honcho

plastic-labs/honcho

6.7kpushed Aug 18, 2026

Trust & integrity

Signalpmbhoncho
Maintenance
Very active (6d since push)
As of 2d · github_public_v1
Very active (0d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Personal account
As of 2d · github_public_v1
Not a fork · Organization account
As of 1w · 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

pmb
Local-first persistent memory for AI coding agents with offline and multilingual capabilities.
honcho
Memory library for building stateful agents

Stars

pmb
295
honcho
6.7k

Forks

pmb
23
honcho
824

Open issues

pmb
9
honcho
163

Language

pmb
Python
honcho
Python

Adopt for

pmb
pmb - Local-first persistent memory for AI coding agents
honcho
Memory Library for Stateful Agents

Persona

pmb
-
honcho
-

Runtime

pmb
-
honcho
-

License

pmb
Apache-2.0
honcho
AGPL-3.0

Last pushed

pmb
Aug 17, 2026
honcho
Aug 18, 2026

Categories

pmb
AI Agents, Data & Retrieval
honcho
AI Agents, Data & Retrieval

Trust and health

Days since push

pmb
6d
honcho
0d

Open issues (now)

pmb
9
honcho
163

Stars delta

pmb
+16 (30d)
honcho
+659 (30d)

Open issues delta

pmb
+4 (30d)
honcho
-3 (30d)

Owner type

pmb
User
honcho
Organization

Full report

Choose pmb if…

  • License: pmb is Apache-2.0, honcho is AGPL-3.0.
  • Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup..
  • Tags unique to pmb: ai-memory, bm25, claude-code, codex.
  • - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex.

When NOT to use pmb

  • - In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization.
  • - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage.
  • - When the specific use case does not benefit from having multilingual capabilities for AI coding tasks.

Choose honcho if…

  • License: honcho is AGPL-3.0, pmb is Apache-2.0.
  • Tags unique to honcho: agent-memory, embeddings, langchain, 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 on cards: pmb 295 · honcho 6.7k (synced Aug 23, 2026).

Common questions

What is the difference between pmb and honcho?
pmb: Local-first persistent memory for AI coding agents with offline and multilingual capabilities.. honcho: Memory library for building stateful agents. See the comparison table for live GitHub stats and shared categories.
When should I choose pmb over honcho?
Choose pmb over honcho when License: pmb is Apache-2.0, honcho is AGPL-3.0; Requirements: No explicit requirements listed in repository data, but likely Python and compatible SQL database setup.; Tags unique to pmb: ai-memory, bm25, claude-code, codex; - When you need a solution that integrates directly with popular AI coding agents such as Claude Code, Cursor, and Codex.
When should I choose honcho over pmb?
Choose honcho over pmb when License: honcho is AGPL-3.0, pmb is Apache-2.0; Tags unique to honcho: agent-memory, embeddings, langchain, 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 pmb?
- In scenarios where real-time data retrieval is essential since pmb focuses on local storage rather than cloud-based synchronization. - If your project requires heavy reliance on online services or if offline functionality doesn't provide a necessary advantage. - When the specific use case does not benefit from having multilingual capabilities for AI coding tasks.
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 pmb or honcho more popular on GitHub?
honcho has more GitHub stars (6,703 vs 295). Stars measure visibility, not whether either tool fits your constraints.
Are pmb and honcho open source?
Yes - both are open-source projects on GitHub (pmb: Apache-2.0, honcho: AGPL-3.0).
Where can I find alternatives to pmb or honcho?
GraphCanon lists graph-backed alternatives at pmb alternatives and honcho alternatives (pmb 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, pmb or honcho?
pmb: Very 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 pmb and honcho?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pmb trust report; honcho trust report.

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