Ross ROSS = Recommend OSS · open-source software intelligence for agents

StartupHakk/OpenMonoAgent.ai

(BETA) AI shouldn't have a meter. Unlimited tokens. Forever. Your machine. Your agent. Use it from anywhere. Terminal-native coding agent powered by local LLMs — 100% open source, free forever, and installed with a single command. Proudly built on C#/.NET, because AI tooling should be infrastructure, not a subscription. observed · 2026-08-28

github.com/StartupHakk/OpenMonoAgent.ai · C# · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

58/100

  • Activity 98
  • Release rhythm 35
  • Longevity 8

Flags: no_releases young no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 125
  • days_rel: n/a
  • days_push: 14
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1795 stars · 212 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OpenMonoAgent is a terminal-native coding agent that runs entirely on local hardware, pairing a .NET 10 CLI with a bundled llama.cpp inference server and 20 built-in tools. It is 100% open source, free, self-hosted, and auto-configures for NVIDIA GPU, CPU, or Apple Silicon.

Use cases

  • run a coding agent locally without per-token billing
  • keep code and prompts private on my own machine
  • use an AI pair programmer from the terminal
  • self-host an unlimited-token coding assistant
  • auto-detect GPU or Apple Silicon for local LLM inference
  • replace subscription AI coding tools with an open-source agent

When to choose

  • you want unlimited local AI coding help with no subscription or cloud dependency
  • you have suitable hardware (NVIDIA GPU, CPU, or Apple Silicon) and value data privacy
  • you prefer terminal/TUI workflows and Docker-sandboxed agent execution

When to avoid

  • you need frontier-quality model output that only large cloud models provide
  • you lack the hardware to run 27B-class local models comfortably
  • you need polished stability — the project is in beta with a nonstandard license (NOASSERTION/AGPL)

Facets

cli-tool · maturity experimental

agent-framework llm-inference cli developer-tools developer-tools large-language-models cli self-hosted coding-agent local-llm llama-cpp dotnet terminal-ui privacy self-hosted-ai agentic-coding ai-agents command-line linux macos docker

1 source

Member repositories

RepositoryRoleHealth v2
StartupHakk/OpenMonoAgent.aimain58

For agents

markdown · JSON · MCP: product_card(name="StartupHakk/OpenMonoAgent.ai")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem