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AIRUNCODE

Runs AI coding agents locally to build features, edit files, and auto-fix failing tests with shared memory and context

A local-first agent runtime that runs AI coding agents on the user's hardware to build features, edit code, and fix failing tests with shared memory and context. It sells to developers and business teams that build software and want to manage model keys and costs directly. It is positioned as a local alternative to middleman cloud runtimes, where code and prompts stay on disk, users bring their own keys and pay providers directly with zero markup, and it supports any model via OpenRouter, NVIDIA, DeepSeek or local GGUF.

Key features

  • Runs agents on local hardware
  • Unlimited parallel agents with shared memory
  • 262k token context window
  • Live ContextMeter with breakdown
  • 4 compaction strategies with snapshots
  • Multi-agent debate workflow
  • Atomic filesystem edits
  • Self-healing test runner
  • Reads logs and stack traces
  • Re-runs tests until green
  • BYOK with zero markup
  • Cost tracker per run
  • Supports 300+ models via OpenRouter
  • Supports local GGUF models
  • Security guard policy engine
  • Automated vulnerability scan
  • V-CORE Vulkan PBR renderer
  • Reddit<0.1/day
GTM channels
  • No GTM activity detected
ICP
  • Software developers
  • Engineering teams
  • DevOps sre teams