mrdushidush

Cost-optimized AI agent orchestration with RTS nostalgia UI. Run 88% of coding tasks FREE on Ollama, with Claude handling the rest.

24
8
89% credibility
Found Feb 12, 2026 at 12 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

A retro Command & Conquer-inspired dashboard for orchestrating AI coding agents that handle simple tasks for free locally and escalate complex ones to cloud AI services.

How It Works

1
๐Ÿ” Discover the Command Center

You find this fun retro game-style tool that lets AI agents handle your coding tasks mostly for free.

2
๐Ÿ“ฅ Get it running easily

Download and start everything with a simple button or command using the included setup package.

3
๐Ÿ”‘ Connect your AI helper

Add a quick password from your AI service so the agents can think and code smartly.

4
๐Ÿš€ Launch the battle screen

Open the colorful dashboard that looks like an old strategy game with agent health bars and task boards.

5
๐ŸŽฎ Send agents on missions

Type a coding job like 'build a calculator' and watch your team of agents grab tasks, code, test, and report back live.

6
๐Ÿ“Š Track progress and costs

See real-time updates, agent statuses, and super-low costs since most work happens on your computer for free.

๐Ÿ† Get your code done cheap

Your coding tasks finish fast and affordably, with fancy charts showing savings and success rates.

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Star Growth

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AI-Generated Review

What is agent-battle-command-center?

Agent Battle Command Center is a TypeScript-based dashboard for orchestrating AI coding agents, styled like a classic RTS game with real-time mission tracking and nostalgic audio cues. It solves the high cost of AI dev tools by routing simple tasks to free local Ollama models (88% of workloads) and escalating complex ones to Claude APIs, averaging $0.002 per task. Fire it up with Docker Compose, hit localhost:5173, and queue coding jobs while watching agents battle through file edits, tests, and reviews in a retro command center UI.

Why is it gaining traction?

The RTS nostalgia UI hooks devs who grew up on Command & Conquer, turning dry agent orchestration into an engaging battle sim with voice alerts and live tool logs. Cost-optimized tiering delivers 20x savings over cloud-only setups, backed by 95% success on local models for C1-C8 tasks. Real-time WebSocket metrics, budget caps, and loop detection make it practical for batch jobs without babysitting.

Who should use this?

Solo devs or small teams automating repetitive coding like function creation, bug fixes, or test writing on tight budgets. Retro gamers building side projects who want visual agent monitoring. Experimenters testing multi-agent workflows with Ollama GPU acceleration before scaling to paid APIs.

Verdict

Worth a spin for cost-optimized agent orchestration if you have an NVIDIA GPUโ€”proven benchmarks and solid Docker setup make it beta-ready despite 10 stars and 0.9% credibility score. Early stage means watch for stability, but docs and 27 test files lower the risk.

(198 words)

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