OpenClaw：红过，爱过，散了
Ranking
Overall
57
Content
60
Popularity
N/A
No observed public metrics; popularity remains neutral/archived.
Merged summary
TL;DR - OpenClaw’s standalone popularity has faded as major vendors package similar personal-agent capabilities into easier-to-use products and model-native harnesses. Its trajectory highlights the agent ecosystem’s shift toward reliable orchestration, stronger permission controls, and lower operating costs.
- OpenClaw offered an always-on local agent that connected models such as Claude, GPT, Gemini, and DeepSeek to email, browsers, terminals, calendars, and messaging apps.
- The project remains active, with over 380,000 GitHub stars by August, while more than 30 Chinese derivative products have expanded its one-click deployment and remote-control model.
- Claude Code, Codex, and newer harnesses now integrate context, memory, tools, sandboxes, permissions, and workflows, reducing the appeal of assembling these components manually.
- Persistent challenges include heavy token consumption and security risks caused by granting autonomous agents broad access to personal systems.
Sources (1)
OpenClaw：红过，爱过，散了
Public signals
N/A
TL;DR - OpenClaw’s standalone popularity has faded as major vendors package similar personal-agent capabilities into easier-to-use products and model-native harnesses. Its trajectory highlights the agent ecosystem’s shift toward reliable orchestration, stronger permission controls, and lower operating costs.
- OpenClaw offered an always-on local agent that connected models such as Claude, GPT, Gemini, and DeepSeek to email, browsers, terminals, calendars, and messaging apps.
- The project remains active, with over 380,000 GitHub stars by August, while more than 30 Chinese derivative products have expanded its one-click deployment and remote-control model.
- Claude Code, Codex, and newer harnesses now integrate context, memory, tools, sandboxes, permissions, and workflows, reducing the appeal of assembling these components manually.
- Persistent challenges include heavy token consumption and security risks caused by granting autonomous agents broad access to personal systems.