Raw capture — raw/openmono-agent.md

url: https://github.com/StartupHakk/OpenMonoAgent.ai date_fetched: 2026-07-05 backfilled: true

Open-source coding agent. Local-first. Zero cost. Zero cloud.

Built to democratize AI. Powered by .NET.

OpenMono is a coding agent that runs entirely on your hardware — no subscriptions, no data leaving your network, no per-token billing. It pairs a .NET 10 CLI with its own llama.cpp inference server, giving you a full agentic loop with 20 built-in tools, Docker sandboxing, and deep code intelligence. NVIDIA GPU, CPU, or Apple Silicon (Metal) — it auto-configures itself. You own the model, the compute, and the data.

One command. Auto-detects GPU · CPU · Apple Silicon. Installs model, runtime, and Docker containers.

bash <(curl -fsSL https://raw.githubusercontent.com/StartupHakk/OpenMonoAgent.ai/refs/heads/main/get-openmono.sh)Then from any project:

openmono agent            # TUI mode (default)
openmono agent --classic  # classic scrolling terminal

→ Full command reference — daily commands, setup flags, GPU/CPU options

Get them: openmono setup search · OPENMONO_VISION_ENABLED=1 · App Store · Google Play · VS Code Marketplace

Most coding agents are cloud products wearing an open-source label. Your prompts, your code, and your context hit someone else's servers on every keystroke. OpenMono runs the model on your hardware — after the one-time setup, inference costs nothing. Your code never leaves the machine. No account. No usage dashboard. No API key.

→ Full architecture + diagram · 4 providers · runs at ~45 tok/s on GPU, ~20 tok/s on CPU

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Auto-detects GPU · CPU · no config needed. On Linux, 12 GB and 16 GB cards run lower-accuracy models; use a 24 GB card for best results. Requires Ubuntu 26.04 LTS (recommended) or 25.10. On macOS, the full and inference roles require Apple Silicon (M1+); 64 GB+ unified memory is the recommended, tested configuration. Less than 64 GB is not encouraged — smaller model, much tighter context window. Intel Macs: agent-only mode. macOS 14+ (Sonoma/Sequoia) recommended.

| Roadmap | What's next | | Setup & commands | Daily commands, TUI vs classic, flags | | Architecture | .NET CLI + llama.cpp + Docker, full diagram | | Models & reasoning | Model tiers, reasoning mode, provider config | | Configuration | settings.json, providers, permissions, MCP servers | | Playbooks | YAML workflows, typed params, checkpoint/resume | | graphify | Semantic code graph, 25+ languages | | code-review-graph | Structural call graph via MCP | | VS Code extension | Chat panel for VS Code 1.85+ · also works in Cursor · Marketplace | | Contributing | How to contribute |

| PUBLIC BETA Early access is open — we're shipping updates fast. Try it out and tell us what you'd like to see next. |

| OpenMono is early and moving fast. Contributions are welcome — new tools, providers, LSP servers, playbooks, bug fixes, or docs. | | → Read the contributing guide before opening a PR |

"AI shouldn't be a subscription you rent. It should be infrastructure you own —

sitting on your desk, serving your code, answering only to you."

sitting on your desk, serving your code, answering only to you."

— Startup Hakk