Self-Evolution Cognition

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

Integrates personal productivity data with deep work principles to create tailored focus schedules, optimize energy-task matching, and reduce distractions.

Build and query focused knowledge graph subgraphs locally on resource-limited edge devices for low-latency, offline-aware reasoning and incremental updates.

AI成长引擎 —— 通用自我迭代框架，回顾→提取模式→调参→验证→记录，任何Agent/职业都可用的成长操作系统

通过AI辅助捕获、澄清、智能发散收敛、技术评审、测试验证等闭环，实现需求的持续演化和高效管理。

Design and test cognitive systems to gracefully recover from errors and overloads using chaos engineering principles and resilience metrics.