Install
$ agentstack add mcp-meru143-argus ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Argus
> Your coding agent shouldn't grade its own homework.
[](https://github.com/Meru143/argus/actions/workflows/ci.yml) [](https://crates.io/crates/argus-ai) [](https://www.npmjs.com/package/argus-ai) [](https://opensource.org/licenses/MIT) [](https://github.com/Meru143/argus)
Argus is a local-first AI code review platform for teams that want an independent reviewer, not a model grading its own output. It combines structural analysis, semantic search, git history intelligence, and LLM-powered review so comments are grounded in the full codebase instead of just the patch.
The short version is simple: your coding agent should not grade its own homework.
git diff HEAD~1 | npx argus-ai review --repo .
Live page: merup.me/argus
Why Argus?
- Independent review — your AI agent wrote the code, a different AI reviews it. No self-grading.
- Full codebase context — reviews use structural maps, semantic search, git history, and cross-file analysis. Not just the diff.
- Zero lock-in — works with OpenAI, Anthropic, or Gemini. Switch providers in one line. Gemini free tier = zero cost.
- One binary, nine tools — map, diff, search, history, review, describe, feedback, doctor, MCP server. Composable Unix-style subcommands.
Get Started in 60 Seconds
# 1. Install via npm
npx argus-ai init # creates .argus.toml
# 2. Set your key (Gemini, Anthropic, or OpenAI)
export GEMINI_API_KEY="your-key"
# 3. Review your changes
git diff HEAD~1 | npx argus-ai review --repo .
Install
Homebrew (macOS/Linux)
brew tap Meru143/argus
brew install argus
npm (Recommended)
npx argus-ai --help
# or
npm install -g argus-ai
Cargo
cargo install argus-ai
From Source
cargo install --path .
Subcommands
review — AI Code Review
Run a context-aware review on any diff or PR.
# Review local changes
git diff main | argus review --repo .
# Review a GitHub PR (posts comments back to GitHub)
argus review --pr owner/repo#42 --post-comments
describe — PR Descriptions
Generate structured, conventional-commit PR descriptions from your changes.
# Generate description for staged changes
argus describe
# Generate for a specific PR
argus describe --pr owner/repo#42
feedback — Improve Reviews
Rate comments from your last review to train Argus on your preferences.
# Start interactive feedback session
argus feedback
map — Codebase Structure
Generate a ranked map of your codebase structure (tree-sitter + PageRank).
argus map --path . --max-tokens 2048
search — Semantic Search
Hybrid code search using embeddings (Voyage/Gemini/OpenAI) + keywords.
argus search "auth middleware" --path . --limit 5
history — Git Intelligence
Detect hotspots, temporal coupling, and bus factor risks.
argus history --path . --analysis hotspots --since 90
diff — Risk Scoring
Analyze diffs for risk based on size, complexity, and diffusion.
git diff | argus diff
mcp — MCP Server
Connect Argus to Cursor, Windsurf, or Claude Code.
argus mcp --path /absolute/path/to/repo
doctor — Diagnostics
Check your environment, API keys, and configuration.
argus doctor
GitHub Action
Add automated reviews to your PRs:
name: Argus Review
on: [pull_request]
permissions:
pull-requests: write
contents: read
jobs:
review:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with: { fetch-depth: 0 }
- name: Install Argus
run: npm install -g argus-ai
- name: Run Review
env:
GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
argus review \
--diff origin/${{ github.base_ref }}..HEAD \
--pr ${{ github.repository }}#${{ github.event.pull_request.number }} \
--post-comments \
--fail-on bug
MCP Setup
Claude Code
Add to ~/.mcp.json or project .mcp.json:
{
"mcpServers": {
"argus": {
"command": "argus",
"args": ["mcp", "--path", "/absolute/path/to/repo"]
}
}
}
Cursor / Windsurf
Add to generic MCP settings:
{
"argus": {
"command": "argus",
"args": ["mcp", "--path", "."]
}
}
Configuration
Run argus init to generate a .argus.toml:
[review]
# max_comments = 5
# min_confidence = 90
# skip_patterns = ["*.lock", "*.min.js", "vendor/**"]
Custom Rules
Argus supports natural language custom rules. Create a file at .argus/rules.md (or .argus/rules/**/*.md) to guide the AI reviewer.
Example .argus/rules.md:
- Always suggest using `anyhow::Result` instead of `Result>`.
- Flag usage of `unwrap()` in production code; suggest `expect()` or error handling.
- Ensure all public functions have doc comments.
LLM Providers
| Provider | Config | Model | Env Variable | |----------|--------|-------|-------------| | Gemini | provider = "gemini" | gemini-2.0-flash | GEMINI_API_KEY | | OpenAI | provider = "openai" | gpt-4o | OPENAI_API_KEY | | Anthropic | provider = "anthropic" | claude-sonnet-4-5 | ANTHROPIC_API_KEY | | Ollama | provider = "ollama" | llama3 | (None) |
For custom provider endpoints, set [llm].base_url. OpenAI-compatible and Gemini base URLs can be provided either with or without the version suffix, for example https://openrouter.ai/api or https://openrouter.ai/api/v1.
Embedding Providers
| Provider | Config | Model | Env Variable | |----------|--------|-------|-------------| | Gemini | provider = "gemini" | text-embedding-004 | GEMINI_API_KEY | | Voyage | provider = "voyage" | voyage-code-3 | VOYAGE_API_KEY | | OpenAI | provider = "openai" | text-embedding-3-small | OPENAI_API_KEY |
Zero-cost setup: Use Gemini for both LLM and embeddings with a free API key.
[llm]
provider = "gemini"
[embedding]
provider = "gemini"
Environment Variables
| Variable | Purpose | |----------|---------| | GEMINI_API_KEY | Gemini LLM + embeddings | | OPENAI_API_KEY | OpenAI LLM + embeddings | | ANTHROPIC_API_KEY | Anthropic LLM | | VOYAGE_API_KEY | Voyage embeddings | | GITHUB_TOKEN | GitHub PR integration |
Architecture
┌─────────────┐
│ argus │
└──────┬──────┘
│
┌────────────────┼────────────────┐
▼ ▼ ▼
┌───────────────┐ ┌───────────┐ ┌──────────────┐
│ argus-review │ │ argus-mcp │ │ subcommands │
└───────┬───────┘ └─────┬─────┘ └───────┬──────┘
│ │ │
┌─────┴─────┬─────────┘ │
▼ ▼ ▼ ▼
┌─────────┐ ┌─────────┐ ┌──────────┐ ┌──────────┐
│ repomap │ │difflens │ │ codelens │ │ gitpulse │
└─────────┘ └─────────┘ └──────────┘ └──────────┘
Crate dependency order:
core (no internal deps)
├── repomap (core)
├── difflens (core)
├── gitpulse (core)
├── codelens (core, repomap)
└── review (core, repomap, difflens, codelens, gitpulse)
└── mcp (core, review)
Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md).
License
MIT
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Meru143
- Source: Meru143/argus
- License: MIT
- Homepage: https://merup.me/argus/
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet — be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.