Hermes Memory Sync

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

Obsidian笔记库按KG笔记法整理——四种笔记类型、链接权限、关系中转、命名规范、新旧分离。自动纠错+建关系+去重+补缺+无关内容分离+分层加载

Agent跨会话记忆——任务前搜agent memory L0→L1→L2分层加载，任务结束LLM提取事实→哈希去重→写入碎片。禁type/[[链接]]/related_fragments

系统研究一位大师/思想家/名人的核心体系，提炼最值得学的内容，写入Obsidian笔记库。基于女娲(Nuwa)的多智能体并行研究方法论升级——不是简单摘录百科，而是提取可复用的思维框架。

对用户提出的具体话题/课题/行业进行深度调研，输出结构化报告。结合多智能体并行搜索（借鉴女娲Nuwa）和克制调用原则（借鉴AutoGLM DeepResearch），先展示中间发现再决策。