Codync
免费开源的 1:1 Grok Bot 与 Muse 替代方案。可在 iPhone、Mac 或 Linux 桌面上将 Claude 代码、Codex、Cursor 以及 40 多个编码代理作为持久机器人使用。支持群组聊天、线程、应用。
AI 翻译
尚未收集仓库信息。
尚未检测到更新。GitHub 发布版本后会显示在这里。
A lean browser interface for AI agents.
翻译准备中
取自仓库 README
正在加载完整 README。
查看完整 README ↗Lets AI agents browse the web as short, numbered text instead of screenshots.
perzian.dev/mantis · by Perzian
It works with Claude Code, Codex, Cursor or your own agent as an MCP server. Install in two commands.
npx -y -p mantis-browser mantis install
claude mcp add mantis -- npx -y -p mantis-browser mantis-mcp
npx -y -p mantis-browser mantis read https://example.com # try it without an agent
Windows, Linux servers and other agents: SETUP.
One real task (Luna, logged runs replayed): about a third less time, over 2x fewer input tokens, about half the calls. This is a selected example from 16 long tasks; medians across all 16 are in Results. Full video.
Security and threat model: SECURITY.md.
Mantis vs the accessibility tree (Playwright MCP) on public sites, gpt-6-luna and claude-haiku-5-5. Every cell is a per-run median; time is end-to-end wall time per run:
0.1.10: headline numbers are 0.1.9's; Haiku subset smoke-checked.
Long tasks (correct: 14 keyed tasks, 42 runs per cell; medians: all 16 tasks, 48 runs per cell; both approaches run in the same session):
| Luna Mantis | Luna tree | Haiku Mantis | Haiku tree | |
|---|---|---|---|---|
| Correct | 35/42 | 34/42 | 40/42 | 40/42 |
| Input tokens (median) | 244k | 345k | 268k | 506k |
| Tool calls (median) | 17 | 24 | 19 | 30 |
| Time (median) | 42s | 66s | 54s | 85s |
Short tasks (30 tasks, 90 runs per cell; tree and screenshot columns are the earlier 20261026 run):
| Luna Mantis | Luna tree | Luna screenshot | Haiku Mantis | Haiku tree | Haiku screenshot | |
|---|---|---|---|---|---|---|
| Correct | 88/90 | 86/90 | 90/90 | 90/90 | 88/90 | 88/90 |
| Input tokens (median) | 64k | 99k | 104k | 38k | 88k | 33k |
| Tool calls (median) | 3 | 4 | 7 | 3 | 5 | 6 |
| Time (median) | 16s | 31s | 35s | 19s | 30s | 23s |
Versus the accessibility tree:
Versus screenshots:
Caveats:
ask_human, which needs a display.MIT