by Mybono · MCP Server · ★ 94
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ai-orchestrator README · Architecture · Agents · Skills & Commands Portable AI developer setup: Claude thinks, local Ollama executes. Works with any project — TypeScript, Python, Flutter, Swift, C++. No Python dependency — all orchestration is pure Bash and . How it works triggers the full pipeline: Claude writes the plan. A local Ollama model writes the code. Claude reviews the output. Details: Architecture · Agents Requirements Claude Code CLI Ollama installed and running — installed automatically by Installation Or manually: The installer checks dependencies, creates symlinks in /.cla
| Stars | 94 |
| Forks | 16 |
| Language | HTML |
| Category | MCP Server |
| License | MIT |
| Quality Score | 57.488/100 |
| Last Updated | 2026-05-04 |
| Created | 2026-04-03 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~46k |
These tools work well together with ai-orchestrator for enhanced workflows:
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ai-orchestrator is Portable multi-agent AI developer setup for Claude Code + Ollama. Role-based local LLM orchestration via Bash — plan, code, review, commit. Zero Dependency. Works with any language stack.. It is categorized as a MCP Server with 94 GitHub stars.
ai-orchestrator is primarily written in HTML. It covers topics such as agentic, agentic-ai, claude-code.
You can find installation instructions and usage details in the ai-orchestrator GitHub repository at github.com/Mybono/ai-orchestrator. The project has 94 stars and 16 forks, indicating an active community.
ai-orchestrator is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-orchestrator on Agent Skills Hub include crab-code, agent-builder, mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.