Correction Memory

A skill where the agent logs it's own findings for self-improvement

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express...

A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured co...

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...

Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.

Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

Security vetting protocol before installing any AI agent skill. Red flag detection for credential theft, obfuscated code, exfiltration. Risk classification L...

Pre-flight cost estimation for subagent spawns and approval gates. Prevents API overspend and surprise billing. Budget control for sessions_spawn calls. Dail...

Advanced patterns for specialized subagent orchestration with production-ready reference implementations. Security isolation, phased implementation, peer col...

Provides a framework to prevent agent drift, catch faults, and maintain consistent on-character behavior across sessions and models.

Automated workspace health checks and entropy prevention for OpenClaw. Detects broken symlinks, empty dirs, large files, malformed names. Maintenance audit s...