Launch a Free Fleet of Orca AI Agent Coders - Automate Code Routines in 10 Minutes
Step-by-step recipe: install Orca, open multiple parallel AI agents, and assign them tasks - no payment or subscriptions needed
- 1.Open the Orca AI Agent repository on GitHub and read the README - make sure the version is up to date this week.
If the repository is unavailable or marked archived - the recipe can't be completed yet; check forks.
GitHub ↗About this tool - 2.Install Python 3.10+ (if not already installed) and run the Orca install command in the terminal following the README instructions.
Don't enter tokens for paid services unless you plan to use them - Orca works with free models too.
Python ↗ - 3.Create the fleet config file: specify the number of parallel agents (e.g., 3) and connect a free model provider - Ollama locally or the OpenRouter free tier.
OpenRouter offers free limits on some models; Ollama runs fully offline but requires 8 GB of RAM.
OpenRouter ↗About this tool - 4.Describe the fleet's task in the system prompt: what the agents should do, in which language, and in what format to return results. Replace [topic] and [programming_language] with your own values.
The more precisely you describe the output format - the less manual editing you'll need.
Orca AI Agent ↗About this toolPromptYou are a fleet of [3] independent AI coding agents working in parallel on the same task. Task: Write a working [language] module that [topic]. Each agent must produce its own version of the code, then the fleet compares outputs and returns the best one. Output format: 1. Three code blocks (Agent A / B / C) 2. A summary table comparing them 3. The recommended final version
What this prompt doesEnglish prompt: describes a fleet of three independent AI coders, each writes its own version of a module in the chosen language, then the fleet compares results and returns the best one. Replace [3] with the desired number of agents, [language] with the programming language (e.g., Python), [topic] with a specific task (e.g., 'CSV parser with validation'). - 5.Launch the fleet with the command from the README (usually «orca run config.yaml»), wait for completion, and open the output file with all agents' results.
The first run may take 2 - 5 minutes - agents download models or warm up the cache.
Orca AI Agent ↗
💰 What it costs to followprices as of 2026-08
- freeOrca AI AgentThe tool itself is free and open source - you only pay if you connect paid models.
- freeOllamaFully free local model provider; requires a computer with 8+ GB of RAM.
- freeOpenRouter (free tier)Free models available with daily request limits; heavy tasks require a paid API key.
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