Configure Honcho memory for ZedClaw cross-session user modeling and isolated AI profiles.
npx skills add https://github.com/ZardLi1115/zedclaw --skill honcho-zardli1115
Please help me install this Agent Skill. Skill: honcho Source: https://github.com/ZardLi1115/zedclaw/tree/main/optional-skills/autonomous-ai-agents/honcho Command: npx skills add https://github.com/ZardLi1115/zedclaw --skill honcho-zardli1115
Honcho Memory helps ZedClaw maintain consistent, cross-session user modeling by isolating AI profiles while sharing a unified understanding of the user.
Run the cloud setup wizard by telling your agent: “Configure Honcho for ZedClaw using the cloud option and then verify the connection with honcho status.”
High-intent search queries and answers about installing and using this skill.
Cross-session memory profiles are maintained by configuring Honcho to isolate AI peers while sharing a unified user context, ensuring consistent modeling across runs. You set up host blocks per profile and tune observation settings.
Yes, multi-profile peer isolation gives each profile its own AI peer identity while using shared workspace-backed context. This requires creating or syncing Honcho host blocks per profile to manage the isolated peer configurations.
To stop context bloat, apply dialectic and context budget tuning by enforcing injection budgets and controlling reasoning cadence and depth. Aligning these parameters ensures safe context injection and reduces unnecessary LLM calls.
Configure Honcho recall modes by selecting hybrid, context, or tools options to balance cost and quality. Tune observation toggles like observeMe and observeOthers to control what each peer learns during cross-session interactions.
Honcho memory works with both cloud and self-hosted setups. You can run the cloud setup wizard to configure the connection, or manually sync host blocks for self-hosted deployments, then verify with honcho status.
Honcho memory syncing and persistence issues often stem from misconfigured host blocks or incorrect observation and recall settings. Troubleshoot by verifying your profile configurations and aligning cadence, depth, and level parameters.
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