A Simple Round-Robin Agent Scheduler.
A lightweight, drop-in folder that rotates through autonomous agents to maintain and improve your codebase. No complex pipelinesβjust simple, effective orchestration.
Choose Your Agent
Web-based tool with Auto-Scheduler. Optimized for Google's latest coding agent. Learn more.
Advanced reasoning for complex tasks. (Requires full access permissions) Learn more.
Open source models running locally. Learn more.
Long-context understanding and safety. (CLI Required, needs cronjob) Learn more.
Google's multimodal AI model. (CLI Required, needs cronjob) Learn more.
Alibaba's open weights coding model. (CLI Required, needs cronjob) Learn more.
The autonomous Python IDE. (Manual only) Learn more.
Copy this happy-path prompt to onboard TORCH:
Requires Node.js 22+. `init` also hooks TORCH memory instructions into AGENTS.md / CLAUDE.md.
Hey Jules, can you install and setup TORCH into this repo in one pass? Please run this command:
npm install https://github.com/PR0M3TH3AN/TORCH/archive/refs/heads/main.tar.gz && npx --no-install torch-lock init
Running Offline or Air-Gapped?
Download the standalone bundle and install it directly without registry access.
Download Bundlenpm install ./torch-lock-0.1.0.tgz
Why Run TORCH?
Drop-in Orchestration
Transform any LLM session into a productive workforce. Just paste a meta-prompt, and watch it coordinate tasks autonomously.
Verifiable Handoffs
Code doesn't ship unless it works. Agents must pass your specific tests and linters before releasing the lock.
Decentralized State
Serverless coordination via Nostr. No databases to manage, just pure, distributed task locking across agents.
Persistent Memory
Agents that remember. TORCH maintains a semantic history of decisions, preventing loops and regressions.
Functional Agents
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