Jiva
Reduces manual task execution and context-switching by enabling autonomous workflows directly from the terminal.
Jiva is a CLI-first, open source autonomous AI agent and open alternative to Claude. Written in TypeScript with native support for Sarvam-105B and gpt-oss-120b, it autonomously plans and executes tasks from your terminal. Supports MCP servers, a built-in Skills system, and Jiva Personas - a plugin framework fully compatible with Claude Plugins.
- Automate multi-step terminal workflows without manual intervention or command chaining.
- Execute complex tasks by defining custom skills that Jiva plans and runs independently.
- Connect external APIs and services through MCP servers to extend task capabilities.
Reduces manual task execution and context-switching by enabling autonomous workflows directly from the terminal. Open-source foundation minimizes vendor lock-in while supporting multiple LLMs and extensible skill systems for team-specific automation.
Engineering teams automating repetitive CLI workflows and seeking vendor-independent AI agent infrastructure.
https://github.com/KarmaloopAI/Jiva
By KarmaloopAI
How to Get It
claude plugins install KarmaloopAI/Jiva
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 multi-step terminal workflows without manual intervention or command chaining
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): 35 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.
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Evaluation
Scored from trust signals (evidence-eval-v1): 35 GitHub stars; contributors unknown; last commit 0d ago; license MIT.