Newborn Newborn TypeScript TS
39
QodeX QodeXcli/QodeX

QodeX — a local-first LLM agent & AI coding CLI agent for your terminal. Runs local models (Qwen3-Coder via Ollama/LM Studio) with deterministic guardrails, 100+ tools, a real browser, smart vision & shareable live artifacts. Open source, Apache-2.0.

https://qodexcli.github.io/QodeX/ ↗
HEALTH 90 / Healthy
// solo builder// hidden gem agenticagentic-aiai-agentai-coding-assistantautonomous-agentcli-agentcoding-agentdeveloper-toolsllmllm-agent

// readme

QodeX — the local-first LLM agent & coding CLI agent

QodeX is an open-source LLM agent for your terminal — a local-first, agentic coding CLI. It runs on local models (Qwen3-Coder via Ollama / LM Studio) by default, with Claude / GPT / Gemini / DeepSeek as optional cloud fallbacks. A privacy-first AI coding agent built so a model on your machine does real, multi-step engineering work — fully offline if you want.

If you’re looking for an LLM agent, a CLI agent, an AI coding agent, or an autonomous terminal agent that doesn’t ship your code to someone else’s cloud — that’s QodeX.

Version 2.4.0 · 100+ built-in tools · English & Persian · Apache-2.0


Highlights

  • Local-first & private — runs entirely on your models (Qwen-Coder via Ollama / LM Studio); your code never leaves the machine. Claude / GPT / Gemini / DeepSeek are opt-in cloud fallbacks.
  • Guardrails around the model, not just prompts — a syntax gate, completion gate, and per-language auto-verification run around the agent loop, so even a weak local model can’t ship broken or unverified code.
  • Self-learning skills (safe by design) — QodeX captures the winning…
The Undervalued Score +

How much a project earns versus how much attention it actually gets. Above 50 means the work is outrunning its audience. Recomputed nightly from commit velocity, contributor effort, issue resolution, fork utility, release cadence, and project maturity — divided by a logarithmic reach factor.

score  = signal / reach

signal = 0.25·commit_velocity   // commits in last 90 days (cap 30)
       + 0.20·contributor_work  // unique authors × velocity (cap 100)
       + 0.20·issue_resolution  // closed ÷ total issues
       + 0.20·fork_ratio        // forks ÷ stars (proxy for real usage)
       + 0.10·release_cadence   // releases in 90 days (cap 3)
       + age_bonus              // +0 to +0.30 after 6 months
       + homepage_bonus         // +0.05 if homepage is set

reach  = log₁₀(stars + watchers + 10)
The Health Score +

Is the project alive and maintained right now? A 0–100 pulse recomputed nightly from commit recency, rhythm, how fast issues close, and how quickly PRs get merged.

health = 0.35·recency       // days since last commit (90d decay)
       + 0.25·cadence       // commit rhythm consistency
       + 0.20·issue_health  // closed ÷ total issues
       + 0.20·pr_health     // merged ÷ total PRs
Health bands +

The colour and label on every card come straight from the health score.

Healthy   80 – 100   active, responsive, regular releases
Stable    60 – 79    maintained, steady, no alarms
Quiet     40 – 59    slowing down — watch this one
At Risk    0 – 39    going dark · candidate for rescue
// Tags — what each label means +

Tags are independent behavioral signals computed nightly. A project can hold multiple at once. They drive the home page sections.

solo_builder      one person holds > 80% of commits (last 180d)
needs_contributors has open "help wanted" or "good first issue" labels
hidden_gem        < 100 stars · active in last 3 months · documented
legacy_hero       repo > 5 years old · committed this year
fork_magnet       forks/stars > 0.5 · used as template or dependency
release_machine   5+ releases in the last 90 days
under_pressure    > 10 open issues · ≤ 2 contributors · health ≥ 60
community_watch   watchers > stars · devs tracking before the public
community_hub     GitHub Discussions enabled · > 20 discussions
funded            maintainer has active funding channel
Why rank against stars at all? +

Stars are an outcome, not effort. A project with 8 stars and daily commits is doing more interesting work than one coasting on 8k. We measure the building, then divide by the attention already received — so the genuinely undervalued rise to the top.

// stars   = lagging indicator
// commits = leading indicator
// we rank by the leading one