ankaloop
Reduces time-to-productivity for AI-assisted development by providing a pre-configured runtime with integrated tools, memory, and automation hooks—eliminatin…
Out-of-the-box coding-agent runtime for terminal, IDE, server, and Telegram: built-in tools, subagents, skills, memory, MCP/ACP, hooks, and automation.
- Automate repetitive terminal commands and code generation tasks across multiple environments.
- Deploy coding agents that execute tasks in IDE, server, or Telegram without manual intervention.
- Build multi-agent workflows with memory and custom tools to handle complex development tasks.
Reduces time-to-productivity for AI-assisted development by providing a pre-configured runtime with integrated tools, memory, and automation hooks—eliminating setup friction and enabling immediate agent deployment across multiple interfaces.
Engineering teams implementing AI agents for code generation, automation, or terminal workflows across distributed environments.
https://github.com/tao12345666333/ankaloop
By tao12345666333
How to Get It
claude plugins install tao12345666333/ankaloop
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 automate repetitive terminal commands and code generation tasks across multiple environments
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 37 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
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.
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Evaluation
Scored from trust signals (evidence-eval-v1): 37 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.