ArafatAhmed-2M

ArafatAhmed-2M / 2M-Code

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2M Code (Multi-Mind) — A terminal-native AI coding platform where teams of specialized, multi-provider LLM agents (Anthropic, Google, OpenAI, Mistral) collaborate to plan, implement, and review code together via a shared SQLite event bus.

11
0
80% credibility
Found May 25, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

2M Code is an AI coding assistant that works like a team instead of a single tool. You define a group of AI agents (like a tech lead, developer, and quality checker), give them a task, and watch them collaborate in real time — planning the approach, writing the code, and reviewing their work. The result is code that's been thought through from multiple angles before it reaches you.

How It Works

1
💡 You hear about a smarter way to code

A friend tells you about 2M Code — a tool where AI works as a team instead of one assistant, so code gets planned, built, and reviewed automatically.

2
🧙 You create your first team

A friendly wizard helps you set up a team of AI agents with different roles — like picking your dream engineering squad.

3
🤝 Your team comes to life

Each agent picks up a task with its own personality — a tech lead architects the solution, a developer builds it, and a reviewer checks for bugs.

4
You give your team a job
⚡
Quick task mode

Type your request, watch your team work together in real time, get polished results.

💬
Ongoing chat mode

Keep talking with your team throughout the day — they remember what you've done before.

5
👀 Watch your team collaborate

You see each agent's thoughts appear on screen as they discuss, build, and review together like a real engineering standup.

6
✅ Your code comes back reviewed

The team delivers working code that's been planned, written, and checked by multiple AI minds — all in one go.

🎉 Better code, faster

Your project is done with the quality of a full team, but you only had one conversation.

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Star Growth

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AI-Generated Review

What is 2M-Code?

2M-Code is a terminal-based AI coding assistant that deploys multiple AI agents as a team instead of relying on a single model. Each agent has a distinct role (tech lead, engineer, QA reviewer), uses a different provider (Anthropic, Google, OpenAI, Mistral, and others), and collaborates through a shared SQLite-backed conversation channel. The Go CLI orchestrates the workflow while a Python engine handles LLM API calls. You define teams in YAML, then run tasks with `2m run "task"` or chat interactively with `2m chat `.

Why is it gaining traction?

The multi-agent approach mirrors how real engineering teams work. A planner breaks down the task, an implementer writes the code, and a reviewer catches issues before you see the output. The shared event bus means agents genuinely see each other's responses, not just a summary. Support for nine different providers lets you mix and match based on cost, speed, and capability. Streaming output, cost tracking with budgets, and persistent memory across sessions make it practical for daily use rather than a novelty.

Who should use this?

Solo developers who want a second opinion without leaving the terminal. Small teams that want automated code review without CI overhead. Anyone experimenting with multi-provider setups who prefers YAML configuration over stitching together separate API calls. Not suitable for teams needing enterprise features like audit logging, multi-user access, or SLA-backed uptime.

Verdict

The concept is solid and the architecture is well-thought-out, but the credibility score of 0.8% and 11 stars signal a project in early stages. Documentation is comprehensive for the current feature set, but test coverage and production hardening remain unproven. Worth watching, but wait for v3 milestones before betting a production workflow on it.

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