CyberClaw
👾 下一代透明智能体架构 | Next-Gen Transparent Agent Architecture 🔍 全行为审计 | 🛡️ 两段式安全调用 | 🧠 双水位记忆 | ⏰ 心跳任务 📊 P0 级事故率降低 80% | 兼容 OpenClaw + Claude Code 技能生态
Not yet testedsource: GitHubPythonMITcommit 12b7c6d52fcc
Python, MIT licensed. The project labels itself: agent, agent framework, ai agent, ai safety, claude code, cross platform, enterprise ai and langchain.
CyberClaw has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
agentagent-frameworkai-agentai-safetyclaude-codecross-platformenterprise-ailangchainlanggraphllmopenclawpythontransparent-aitwo-phase-invocation
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/cyberclaw)Questions
- Does CyberClaw run?
- CyberClaw has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test CyberClaw?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for CyberClaw?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.