by plastic-labs · Codex Skill · ★ 73
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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. Install prompts for your Honcho API key, writes the config, and optionally uploads any legacy memory files to Honcho. Alternative: ClawHub Skill Use the skill to run migration interactively from within a chat session: #
| Stars | 73 |
| Forks | 38 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.7490860847077/100 |
| Open Issues | 28 |
| Last Updated | 2026-05-21 |
| Created | 2026-01-28 |
| Platforms | node |
| Est. Tokens | ~113k |
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openclaw-honcho is Make your OpenClaw happy, give it Honcho. It is categorized as a Codex Skill with 73 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 73 stars and 38 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.
The top alternatives to openclaw-honcho on Agent Skills Hub include JoySafeter, memov, lucid-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.