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

magnitudedev/magnitude

Open source agent with local models built in. Fully private and offline. Works out of the box on any hardware. observed · 2026-08-28

github.com/magnitudedev/magnitude · homepage · TypeScript · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

80/100

  • Activity 99
  • Release rhythm 98
  • Longevity 5

Flags: young

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: 1.0
  • age_days: 82
  • days_rel: 12
  • days_push: 7
  • n_releases_24m: 7

Full methodology

Adoption not part of the score

1510 stars · 113 forks observed · 2026-08-28

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

Magnitude is an open-source CLI tool and agent that bundles local LLM inference with an agent harness, profiling your hardware to recommend, download, and tune the best models automatically. Everything runs fully offline and privately on your machine with no API keys or token costs.

Use cases

  • run an AI coding agent fully offline with local models
  • automatically pick the best local LLM for my hardware
  • replace Ollama with a zero-config local inference setup
  • keep AI agent prompts and files private on my machine
  • run local models without API keys or token costs
  • extend an agent with skills for Excel, PDFs, and Chrome
  • serve local models to harnesses like Claude Code or Cline

When to choose

  • you want a private, offline AI agent with no inference setup
  • you're unsure which local model or quantization fits your machine
  • you want an inference server tuned for agent workloads with just-in-time model loading
  • you want to avoid token costs, rate limits, and subscriptions

When to avoid

  • you need frontier model quality only available via cloud APIs
  • you're on Windows without WSL
  • your hardware has too little memory for useful local models
  • you want fine-grained manual control over model servers and quantization choices

Facets

cli-tool · maturity active

llm-inference agent-framework cli chatbot artificial-intelligence large-language-models developer-tools privacy cli self-hosted local-llm offline-ai hardware-profiling model-management inference-server agent-harness skills command-line macos linux nodejs

4 sources

Member repositories

RepositoryRoleHealth v2
magnitudedev/magnitudemain80

For agents

markdown · JSON · MCP: product_card(name="magnitudedev/magnitude")

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