by plastic-labs · Codex Skill · ★ 87
Honcho Memory Plugin for OpenClaw AI-native memory with dialectic reasoning for OpenClaw. Uses Honcho's peer paradigm to build and maintain separate models of the user and the agent — enabling context-aware conversations that improve over time. No local infrastructure required. This plugin uses OpenClaw's slot system () to replace the built-in memory plugins (, ). During setup, existing memory files can be migrated to Honcho. Workspace docs (, , ) can be updated manually to reference Honcho's tools instead of the old file-based system.
| Stars | 87 |
| Forks | 50 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 39.75/100 |
| Open Issues | 12 |
| Last Updated | 2026-10-19 |
| Created | 2026-01-28 |
| Platforms | node |
| Est. Tokens | ~113k |
These tools work well together with openclaw-honcho for enhanced workflows:
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openclaw-honcho is Make your OpenClaw happy, give it Honcho. It is categorized as a Codex Skill with 87 GitHub stars.
openclaw-honcho is primarily written in TypeScript. It covers topics such as agents, honcho, llm.
You can find installation instructions and usage details in the openclaw-honcho GitHub repository at github.com/plastic-labs/openclaw-honcho. The project has 87 stars and 50 forks, indicating an active community.
openclaw-honcho is released under the MIT license, making it free to use and modify according to the license terms.