kris-hansen/comanda — The CLI-native orchestrator for AI agent workflows.

Description and use

**Summary:**

Comanda is an open-source, CLI-native orchestrator for AI agent workflows, allowing users to run various AI tools such as Claude Code, Codex, and Gemini CLI from declarative YAML files. This project helps users turn isolated prompts and tools into repeatable agent workflows, streamlining their AI operations. With its high production readiness, users can confidently pilot Comanda in their production environments.

**Value Proposition:**

Comanda's primary value lies in its ability to orchestrate AI agent workflows, enabling users to standardize agent memory, add tool-use pipelines, and coordinate multi-agent workflows. This results in increased efficiency, productivity, and consistency in AI operations.

**Practical Adoption Path:**

To adopt Comanda, users can follow these steps:

1. Evaluate the project's implementation signals, such as its API/SDK/CLI, language metadata, and focused topics, to ensure it meets their requirements.
2. Review the project's GitHub repository, including its recent activity, adoption, and ecosystem signals, to gauge its production readiness.
3. Assess the project's license, security posture, and active maintainers to mitigate potential risks.
4. Start by running Comanda in a local development environment to familiarize themselves with its features and workflows.
5. Gradually integrate Com

Problem

kris-hansen/comanda helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

The CLI-native orchestrator for AI agent workflows. Run Claude Code, Codex, Gemini CLI & Kimi Code from declarative YAML. Because the terminal is where real work happens.

Source