by can1357 · MCP Server · ★ 3.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
AI coding agent for the terminal <a href="https://discord.g
| Stars | 3,949 |
| Forks | 364 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 44.69/100 |
| Open Issues | 128 |
| Last Updated | 2026-05-05 |
| Created | 2025-12-31 |
| Platforms | browser, claude-code, cli, mcp, node |
| Est. Tokens | ~19130k |
These tools work well together with oh-my-pi for enhanced workflows:
Looking for a oh-my-pi alternative? If you're comparing oh-my-pi with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration with MCP and live tracin
Zero-Config Code Flow for Claude code & Codex
AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Effici
An AI co-worker with its own computer. Self-evolving, persistent memory, MCP server, secure credential collect
Code Editor for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine
All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, C
Explore other popular mcp server tools:
oh-my-pi is ⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more. It is categorized as a MCP Server with 3.9k GitHub stars.
oh-my-pi is primarily written in TypeScript. It covers topics such as ai-agent, ai-coding-agent, anthropic.
You can find installation instructions and usage details in the oh-my-pi GitHub repository at github.com/can1357/oh-my-pi. The project has 3.9k stars and 364 forks, indicating an active community.
oh-my-pi is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to oh-my-pi on Agent Skills Hub include open-multi-agent, zcf, Unity-MCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.