Agentic Mode Upgrades

Adversarial self-improvement for AI agents. Reduces hallucinations through Agent vs Anti-Agent debate loops.

Lightweight self-improvement loop for AI agents. Auto-captures errors, corrections, and discoveries in a fast one-line format. Smart dedup, auto-promotion to...

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...

Multi-agent UX for OpenClaw Control UI — agent selector, per-agent sessions, session history viewer with search, agent-filtered Sessions tab with friendly na...

Solve the "agent forgot everything" problem with search-first protocol, automated memory sync, and context preservation. No more conversation restarts!

Transforms AI agents into proactive partners with multi-tier memory, autonomous background tasks, task queue, and persistent working context for better auton...