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Comparison

letta vs honcho

letta (Platform for stateful agents with advanced memory capabilities) vs honcho (Memory library for building stateful agents) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · letta alternatives · honcho alternatives

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letta

letta-ai/letta

24kpushed Jul 3, 2026
vs

honcho

plastic-labs/honcho

5.8kpushed Jul 8, 2026

Tagline

letta
Platform for stateful agents with advanced memory capabilities
honcho
Memory library for building stateful agents

Stars

letta
24k
honcho
5.8k

Forks

letta
2.5k
honcho
698

Open issues

letta
49
honcho
155

Language

letta
Python
honcho
Python

Adopt for

letta
Letta is a platform for building AI agents with advanced memory capabilities, supporting both local and cloud deployment, making it ideal for projects that require persistent learning and state management.
honcho
Honcho provides memory infrastructure for building stateful AI agents capable of dynamically understanding entities over time through message storage, event tracking, reasoning, and insight queries.

Persona

letta
-
honcho
-

Runtime

letta
-
honcho
-

License

letta
Apache-2.0
honcho
AGPL-3.0

Last pushed

letta
Jul 3, 2026
honcho
Jul 8, 2026

Categories

letta
AI Agents, LLM Frameworks
honcho
AI Agents

Trust and health

Days since push

letta
4d
honcho
0d

Open issues (now)

letta
49
honcho
155

Security scan

letta
8 low (8 low)
honcho
No lockfile

Full report

Typed relationship

letta alternative honchoLetta and honcho both offer tools or libraries to build stateful agents with advanced memory capabilities.

Shared compatibility

  • Python · letta: Python runtime · honcho: Python runtime

Choose letta if…

  • License: letta is Apache-2.0, honcho is AGPL-3.0.
  • Pricing: Details regarding pricing are not provided in the repository data..
  • Requirements: Installation requires Node.js version 22.19+; Dependencies include the Letta Code CLI tool installed globally via npm..
  • Letta and honcho both offer tools or libraries to build stateful agents with advanced memory capabilities.
  • Tags unique to letta: self-improvement, memory-system, development-platform, cli-tool.
  • Also covers LLM Frameworks.
  • Use Letta when you need a platform to develop AI agents that can learn and self-improve over time through their interactions.

When NOT to use letta

  • Avoid using Letta if your project strictly needs real-time data processing without statefulness; it focuses on agents with memory capabilities which adds to the complexity.
  • Do not use Letta if you are looking for a minimalistic solution since its advanced features and SDK might introduce unnecessary overhead.

Choose honcho if…

  • License: honcho is AGPL-3.0, letta is Apache-2.0.
  • Letta and honcho both offer tools or libraries to build stateful agents with advanced memory capabilities.
  • Tags unique to honcho: embeddings, continual-learning, long-term-memory, context-engineering.
  • - When you need a system that can store messages and events to maintain long-term agent context.

When NOT to use honcho

  • - If your application does not require stateful memory and dynamic tracking of entities over time.
  • - When the project does not align with Honcho's model of peer-centric reasoning and multi-peer perspective which might be unnecessary for straightforward agent needs.

Explore

Related comparisons

Common questions

What is the difference between letta and honcho?
letta: Platform for stateful agents with advanced memory capabilities. honcho: Memory library for building stateful agents. See the comparison table for live GitHub stats and shared categories.
When should I choose letta over honcho?
Choose letta over honcho when License: letta is Apache-2.0, honcho is AGPL-3.0; Pricing: Details regarding pricing are not provided in the repository data.; Requirements: Installation requires Node.js version 22.19+; Dependencies include the Letta Code CLI tool installed globally via npm.; Letta and honcho both offer tools or libraries to build stateful agents with advanced memory capabilities; Tags unique to letta: self-improvement, memory-system, development-platform, cli-tool; Also covers LLM Frameworks; Use Letta when you need a platform to develop AI agents that can learn and self-improve over time through their interactions.
When should I choose honcho over letta?
Choose honcho over letta when License: honcho is AGPL-3.0, letta is Apache-2.0; Letta and honcho both offer tools or libraries to build stateful agents with advanced memory capabilities; Tags unique to honcho: embeddings, continual-learning, long-term-memory, context-engineering; - When you need a system that can store messages and events to maintain long-term agent context.
When should I avoid letta?
Avoid using Letta if your project strictly needs real-time data processing without statefulness; it focuses on agents with memory capabilities which adds to the complexity. Do not use Letta if you are looking for a minimalistic solution since its advanced features and SDK might introduce unnecessary overhead.
When should I avoid honcho?
- If your application does not require stateful memory and dynamic tracking of entities over time. - When the project does not align with Honcho's model of peer-centric reasoning and multi-peer perspective which might be unnecessary for straightforward agent needs.
Is letta or honcho more popular on GitHub?
letta has more GitHub stars (23,708 vs 5,846). Stars measure visibility, not whether either tool fits your constraints.
Are letta and honcho open source?
Yes - both are open-source projects on GitHub (letta: Apache-2.0, honcho: AGPL-3.0).
Where can I find alternatives to letta or honcho?
GraphCanon lists graph-backed alternatives at /tools/letta-ai-letta/alternatives and /tools/plastic-labs-honcho/alternatives (/tools/letta-ai-letta/alternatives.md, /tools/plastic-labs-honcho/alternatives.md), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at /compare/letta-ai-letta-vs-plastic-labs-honcho.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, letta or honcho?
letta: 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 letta and honcho?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: letta: /tools/letta-ai-letta/trust; honcho: /tools/plastic-labs-honcho/trust.

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