ClawBrain Benchmark

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

提供 5500+ 只 A 股的量化因子数据和财经指标，支持因子分析、行情查询、资金流向、财务分析及策略回测

ClawBrain v1.6 — 更准、更稳、越用越懂你的大模型。记忆系统 + 数据保真 + 自动容错 + 输出验证。21 场景评测第一。

v1.2 精准回忆能力：关键词与语义双重搜索、来源标注、相关度排序。精准找回历史对话和决策。

诊断你的 OpenClaw 配置和运行状态，基于 v1.2 的输出验证、模型健康监控、知识图谱检查、记忆来源标注、降级通知和长对话截断诊断

v1.2 错误恢复：三级恢复策略 + 双模型共识 + 循环检测 + 降级告知 + 长对话恢复。出错自动换方案，不重复同样的错误。