uvwt/agentdock
Secure MCP runtime for AI agents to operate local machines, servers, and containers with multi-device orchestration.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 6 days ago, with 11 contributors on GitHub.
Use Cases & Benefits
- Provides a secure runtime for AI agents to operate and orchestrate commands, files, and tasks across local machines, servers, and containers.
- Enables unified multi-device management with explicit permission boundaries and traceable, verifiable results for AI-driven automation workflows.
- Use for managing and automating multi-machine DevOps tasks from a single AI conversation without switching SSH sessions.
- Use for coordinating cross-device workflows involving code editing, Git operations, and deployment across local and remote environments.
- Use for automating browser and desktop interactions, including authenticated web pages and macOS apps, within AI agent workflows.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Give AI agents secure, controlled access to every machine you operate.
Open ChatGPT in your browser and manage multiple computers and servers from one conversation. Write code, change configuration, run commands, and deploy in the real environment where the work belongs—without consuming a dedicated Codex coding quota.
AgentDock is an independent tool runtime for AI agents.
It provides unified, secure, and controlled file, command, Git, Skill, MCP, browser automation, and task execution across local computers, remote servers, and containers. Connect multiple AgentDock instances to coordinate work across devices and finish multi-machine workflows in a single conversation.
AgentDock does not provide a chat interface or perform model inference. It focuses on one responsibility:
Let AI agents operate real environments within explicit permission boundaries and return structured, traceable, and verifiable results.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+623 stars over 55 days across 6 snapshot days; best day +2 on Sep 17.
Forks
167+81
Open issues
3-5
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| uvwt/agentdock | 1.3K | — | 42 | 6 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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