AI That Works
Where Your Code Lives.
Edit files locally, execute commands over SSH, commit to Git — all orchestrated by AI in a single workspace. Your source code, SSH keys, and chat history stay on your machine, encrypted in SQLite.
Install in 10 Seconds
Native CLI for developers. No Electron bloat, no cloud sync, no telemetry.
pip install git+https://github.com/Georgediego/runtimeforce-app.git && runtimeforce start
Requires Python 3.10+ and Git. Opens local dashboard at
localhost:8000
Built for Runtime-Centric Workflows
Not another editor plugin. A full orchestration layer for your code, servers, and AI models.
Local File System
Reads and edits files directly on your machine. Zero cloud upload, zero data leakage.
Native SSH Execution
Runs commands on remote servers as natively as localhost. Keys encrypted with AES-256-GCM.
Git-Aware Workflows
Knows commit history, branches, and diffs. Safe edits with full rollback capability.
Local LLMs (Ollama)
Run DeepSeek, Llama, Qwen locally. Zero cost, zero latency, zero data leakage.
Cloud AI Models
Claude, GPT-4o, Gemini — connect top models only when you really need them.
Zero Trust Architecture
Your code never leaves your machine. The cloud is just a stateless proxy for LLM requests.
Multi-Model Orchestration
Don't pick a model — pick a strategy. The orchestrator routes tasks to the best model automatically.
Auto
Default mode. Orchestrator decides based on complexity, cost, and latency.
Code
Prioritizes Claude Sonnet, GPT-4o, DeepSeek Coder for refactoring.
Analytics
Long-context reasoning models for research and complex decisions.
Consensus
Multiple models debate. Critique each other. Find the optimal solution.
Ready to Orchestrate AI Locally?
Zero Trust. Local First. Multi-Model Orchestration.