Home/Compare/Memori vs honcho

Comparison

Memori vs honcho

Verdict

Pick Memori if memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云; pick honcho if memory Library for Stateful Agents.

Markdown twin · Memori alternatives · honcho alternatives

GraphCanon updated today

Memori logo

Memori

MemoriLabs/Memori

16kpushed Aug 18, 2026
vs
honcho logo

honcho

plastic-labs/honcho

6.7kpushed Aug 18, 2026

Trust & integrity

SignalMemorihoncho
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · 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

Memori
Agent-native memory infrastructure for LLM systems
honcho
Memory library for building stateful agents

Stars

Memori
16k
honcho
6.7k

Forks

Memori
3.2k
honcho
824

Open issues

Memori
33
honcho
163

Language

Memori
Python
honcho
Python

Adopt for

Memori
Memori is an agent-native memory infrastructure layer that converts agent execution and conversation into a structured, persistent state for use in production systems. It supports various deployment environments such as云
honcho
Memory Library for Stateful Agents

Persona

Memori
-
honcho
-

Runtime

Memori
-
honcho
-

License

Memori
Other
honcho
AGPL-3.0

Last pushed

Memori
Aug 18, 2026
honcho
Aug 18, 2026

Categories

Memori
AI Agents, Data & Retrieval
honcho
AI Agents, Data & Retrieval

Trust and health

Open issues (now)

Memori
33
honcho
163

Stars delta

Memori
+515 (30d)
honcho
+659 (30d)

Open issues delta

Memori
+7 (30d)
honcho
-3 (30d)

Full report

Typed relationship

Memori alternative honchoBoth Honcho and memorilabs/memori are memory infrastructure solutions for AI agents designed to capture and manage contextual state over time.

Shared compatibility

  • Python · Memori: Python runtime · honcho: Python runtime

Choose Memori if…

  • License: Memori is Other, honcho is AGPL-3.0.
  • Both Honcho and memorilabs/memori are memory infrastructure solutions for AI agents designed to capture and manage contextual state over time.
  • Tags unique to Memori: enterprise, llm, memory-management, python.
  • 您需要一个可以在多种部署环境中工作的内存基础设施,包括云端和本地环境时。

When NOT to use Memori

  • (TypeScriptPython),MemoriSDK。

Choose honcho if…

  • License: honcho is AGPL-3.0, Memori is Other.
  • Both Honcho and memorilabs/memori are memory infrastructure solutions for AI agents designed to capture and manage contextual state over time.
  • Tags unique to honcho: ai-agents, embeddings, langchain, long-term-memory.
  • 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: Memori 16k · honcho 6.7k (synced Aug 18, 2026).

Common questions

What is the difference between Memori and honcho?
Memori: Agent-native memory infrastructure for LLM systems. honcho: Memory library for building stateful agents. See the comparison table for live GitHub stats and shared categories.
When should I choose Memori over honcho?
Choose Memori over honcho when License: Memori is Other, honcho is AGPL-3.0; Both Honcho and memorilabs/memori are memory infrastructure solutions for AI agents designed to capture and manage contextual state over time; Tags unique to Memori: enterprise, llm, memory-management, python; 您需要一个可以在多种部署环境中工作的内存基础设施,包括云端和本地环境时。.
When should I choose honcho over Memori?
Choose honcho over Memori when License: honcho is AGPL-3.0, Memori is Other; Both Honcho and memorilabs/memori are memory infrastructure solutions for AI agents designed to capture and manage contextual state over time; Tags unique to honcho: ai-agents, embeddings, langchain, long-term-memory; Requires managing long-term and contextual memory in AI agents for statefulness.
When should I avoid Memori?
(TypeScriptPython),MemoriSDK。
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 Memori or honcho more popular on GitHub?
Memori has more GitHub stars (16,130 vs 6,703). Stars measure visibility, not whether either tool fits your constraints.
Are Memori and honcho open source?
Yes - both are open-source projects on GitHub (Memori: Other, honcho: AGPL-3.0).
Where can I find alternatives to Memori or honcho?
GraphCanon lists graph-backed alternatives at Memori alternatives and honcho alternatives (Memori 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, Memori or honcho?
Memori: 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 Memori and honcho?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Memori trust report; honcho trust report.

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