AgentHydra
Consolidates multiple local AI coding assistants into a managed workflow, eliminating context switching and reducing setup overhead while maintaining privacy…
Every local AI coding session in one tab: Claude Code, Codex and OpenCode in a single list, with a queue you can schedule and isolated Claude Desktop instances kept apart. Local, private, MCP-native.
- Manage multiple concurrent coding sessions across different AI models from one dashboard tab
- Queue coding tasks to run sequentially without switching between separate applications
- Keep coding work isolated in separate Claude Desktop instances for security and privacy
Consolidates multiple local AI coding assistants into a managed workflow, eliminating context switching and reducing setup overhead while maintaining privacy through isolated instances.
Engineering teams running local AI coding sessions who need multi-model comparison and workflow scheduling without cloud dependencies.
https://github.com/LunarWerxs/AgentHydra
By LunarWerxs
How to Get It
claude plugins install LunarWerxs/AgentHydra
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me manage multiple concurrent coding sessions across different AI models from one dashboard tab
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 50 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 50 GitHub stars; contributors unknown; last commit 0d ago; license MIT.