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comanda MCP Server

kris-hansen/comanda

Score: 71.5 Rank #3778 Agent Framework
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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.

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Overview

kris-hansen/comanda is a Go tool licensed under MIT. 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. Topics: agents, ai, ai-agents, anthropic, automation, claude, cli, codex, command-line, devops, gemini, google, kimi, llm, mcp, openai, orchestration, terminal, workflow, yaml.

Ranked #3778 out of 24846 indexed tools.

Ecosystem

Go MIT
agentsaiai-agentsanthropicautomationclaudeclicodexcommand-linedevopsgeminigooglekimillmmcpopenaiorchestrationterminalworkflowyaml

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 329

329 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 25%

1/4 issues closed → many open issues

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 26
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Freshness high impact

Last commit was 36 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 3 open vs 1 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for kris-hansen/comanda
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Matched Queries

topic:mcp

From the README

# comanda

> **Make coding agents earn their exit.**
>
> Comanda is the terminal-native runtime for durable, self-improving agent work in a repository. Describe a workflow in English, inspect the generated program, run the coding agents you already use, and stop only when your own quality gates say the work is done.

## From an idea to a governed workflow

Comanda starts with English, but ends with a YAML program you can inspect, version, and improve.

```bash
# Describe the outcome
comanda generate feature-loop.yaml \
  "Implement this feature until tests and security checks pass"

# Inspect the generated workflow as a graph
comanda chart feature-loop.yaml --format mermaid

# Run it in your repository
comanda process feature-loop.yaml

# Evolve the program with plain-English feedback
comanda improve feature-loop.yaml \
  "Add a Codex reviewer and require typecheck before completion"
```

**Describe it. Inspect it. Run it. Improve it. Commit it.**

## A loop does not finish because an 
Read full README on GitHub →

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