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Khamel83
by Khamel83

Argus

Python 3.11+ PyPI Version PyPI Downloads License: MIT CI MCP Registry Docker

Retrieval platform for AI agents. Argus routes search across 14 providers, recovers dead URLs, captures important site content, builds local docs-plus-research packs, and persists everything with traceable local artifacts.

Features at a glance:

  • Topology-aware acquisition — Argus knows if it's on a residential IP or datacenter, routing search and extraction automatically to avoid blocks and minimize network hops.

  • 14 providers, one API — free-first tier routing, budget-exhausted providers skipped automatically

  • Zero-key startpip install argus-search gives you DuckDuckGo + Yahoo immediately, no accounts needed

  • SearXNG self-host = 70+ engines — Google, Bing, Yahoo, Startpage, Ecosia, Qwant and more via one Docker container

  • 12-step content extraction — returns full page text with quality gates, not just links

  • Opinionated retrieval workflows — recover dead articles, capture important pages from a site, and build local docs-plus-research packs

  • Argus-owned corpus storage — runtime data goes to a writable user data directory, not your repo checkout

  • Multi-turn sessions — pass session_id for conversational context across searches

  • Score attribution — optionally show which providers contributed to each fused RRF score

  • Usage dashboard — inspect provider budgets, recent query volume, and machine-level usage at /dashboard

  • 4 search modes — discovery, research, recovery, grounding

  • Dead URL recovery/recover-url with Wayback Machine and archive fallbacks

  • 4 integration paths — HTTP API, CLI, MCP server, Python SDK

Built for AI agent builders, RAG pipelines, and ops teams who need reliable search, capture, and local evidence without stitching APIs together.

Status: beta. The retrieval workflows and corpus model are production-oriented, but still maturing.

Status: see the public status page. Authorized maintainers can use the private argus-ops README for the latest dated reports.

Current production checkpoint — September 7, 2026: The authenticated HTTP API and MCP adapter are operational, and sampled free search works through SearXNG, Yahoo, and GitHub. DuckDuckGo is intermittent and fails closed after acquisition-policy blocks. Production readiness is ready=true, degraded; paid providers are not currently admitted until their non-secret credential-version and account-scope bindings are recorded. Browser capability and recovery metadata evidence remain open. See the current status matrix before relying on a provider.

Contents

Related MCP server: GroundRoute

Quickstart

Mode 1: Local CLI (zero config)

pip install argus-search && argus search -q "python web frameworks"

That's it. DuckDuckGo handles the search — no accounts, no keys, no containers. You get unlimited free search from your laptop right now. Add API keys whenever you want more providers, or don't.

argus extract -u "https://example.com/article"       # extract clean text from any URL
argus recover-article -u "https://example.com/dead-post"
argus capture-site -u "https://docs.example.com"
argus build-research-pack -t "example sdk" --official-url "https://docs.example.com"

Works on any machine with Python 3.11+ — laptop, Mac Mini, Raspberry Pi, cloud VM. Nothing to host.

For MCP (Claude Code, Codex, OpenCode, Cursor, VS Code):

pipx install argus-search[mcp]
export ARGUS_MCP_STANDALONE=true  # explicit development-only local broker
argus mcp init --global --client all

That writes native config for Claude Code, Codex CLI, OpenCode, and Cursor. Restart the client after configuration. For manual stdio setup:

{"mcpServers": {"argus": {"command": "argus", "args": ["mcp", "serve"], "env": {"ARGUS_MCP_STANDALONE": "true"}}}}

Or install from the MCP Registry:

{
  "mcpServers": {
    "argus": {
      "registryType": "pypi",
      "identifier": "argus-search",
      "runtimeHint": "uvx",
      "env": {"ARGUS_MCP_STANDALONE": "true"}
    }
  }
}

Standalone development needs no server or keys, but it must be explicitly enabled. Production MCP always delegates to an authenticated HTTP authority.

See MCP Client Setup for exact config files, verification commands, remote HTTP setup, and troubleshooting.

Mode 2: Full Stack Server

Got a Raspberry Pi running Pi-hole? A Mac Mini on your desk? An old laptop? That's enough to run the full stack — SearXNG (your own private search engine, disabled by default) plus local JS-rendering content extraction.

# Optional: tell Argus it has residential egress to optimize routing
export ARGUS_EGRESS_TYPE=residential
ARGUS_SEARXNG_ENABLED=true docker compose up -d    # SearXNG + Argus

What you have

What you get

Any machine with Python 3.11+

DuckDuckGo + API providers (no server)

Home server / old laptop (4GB+)

Everything — SearXNG, all providers, Crawl4AI, Obscura

Mac Mini M1+ (8GB+)

Full stack with headroom

Free cloud VM (1GB)

SearXNG + search providers (use residential workers for extraction)

SearXNG takes 512MB of RAM and gives you a private Google-style search engine (disabled by default — set ARGUS_SEARXNG_ENABLED=true) that nobody can rate-limit, block, or charge for. It runs alongside Pi-hole on hardware millions of people already own.

Where Argus Writes Data

Argus code and Argus runtime data are different things.

  • Code lives wherever you install or clone Argus.

  • Runtime corpus data lives in a writable user data directory resolved by platformdirs, or in ARGUS_DATA_ROOT if you override it.

Inspect the exact paths on your machine:

argus paths

By default Argus writes:

  • official docs cache under the resolved docs/cache/

  • research packs under docs/research/

  • workflow run state under workflows/runs/

  • versioned workflow snapshots under snapshots/

This means Argus does not require a sibling ../docs-cache checkout. If you have an older docs-cache tree, import it once with:

argus corpus import-docs-cache -s /path/to/docs-cache

Opinionated Workflows

These workflows build local artifacts, not just transient JSON responses.

Recover A Dead Article

argus recover-article -u "https://example.com/old-post" -t "Example Post"

Argus searches for recovery candidates, extracts the best result, saves the recovered sources locally, and writes a citation-backed report plus manifest.

Capture The Important Parts Of A Site

argus capture-site -u "https://docs.example.com"

Argus stays on-domain, uses sitemap-assisted discovery plus heuristic link scoring, saves the important pages it finds, and writes a detailed summary with references.

Build A Docs + Research Pack

argus build-research-pack -t "example sdk"
argus build-research-pack -t "example sdk" --official-url "https://docs.example.com"

Argus captures official docs into its local docs cache, adds non-official supporting sources from search, and writes a combined research pack with traceable artifacts.

Development

Repo development is pinned to Python 3.12. The package runtime floor is Python 3.11, the production image runs Python 3.12.3, and Python 3.13 is the compatibility CI lane. Required CI passes all three; contributors should use the uv workflow below so local verification matches the canonical lane and does not accidentally use an older system interpreter.

uv sync --python 3.12 --extra dev --extra mcp
uv run pytest tests/ -v --tb=short

The repo includes .python-version with 3.12 so uv, pyenv, and similar tools pick the right interpreter by default. More contributor guidance lives in CONTRIBUTING.md.

Providers

Provider

Credit type

Free capacity

Setup

DuckDuckGo

Free (scraped)

Unlimited

None

Yahoo

Free (scraped)

Unlimited

None — fragile, auto-skipped if broken

SearXNG

Free (self-hosted, off by default)

Unlimited — 70+ engines¹

Docker

GitHub

Free (API)

Unlimited

None (token for higher rate limit)

WolframAlpha

Free (API key)

2,000 queries/month

free key

Brave Search

Monthly recurring

2,000 queries/month

dashboard

Tavily

Monthly recurring

1,000 queries/month

signup

Exa

Monthly recurring

1,000 queries/month

signup

Linkup

Monthly recurring

1,000 queries/month

signup

Parallel AI

Monthly recurring

$5 credit with card on file, up to 5,000 searches/month

signup

Serper

One-time signup

2,500 credits

signup

You.com

One-time signup

$20 credit

platform

Valyu

One-time signup

$10 credit

platform

¹ SearXNG aggregates Google, Bing, Yahoo, Startpage, Ecosia, Qwant, Wikipedia, and 60+ more — all behind a single self-hosted endpoint. Run docker compose up -d on any machine with 512MB of free RAM.

² WolframAlpha returns computed answers (math, unit conversions, factual lookups), not web search results. It only activates in grounding and research modes. Queries it can't compute (general web searches) return empty — no error, no health penalty.

7,000+ free queries/month from recurring free-tier providers with API keys (WolframAlpha 2k + Brave 2k + Tavily 1k + Exa 1k + Linkup 1k), or up to 12,000+ when Parallel's monthly credit is available to an eligible account with a card on file. DuckDuckGo, Yahoo, and GitHub have no monthly cap. SearXNG is disabled by default (enable in .env). Routing priority: Tier 0 (free: SearXNG*, DuckDuckGo, Yahoo, GitHub, WolframAlpha) → Tier 1 (monthly recurring: Brave, Tavily, Exa, Linkup, Parallel) → Tier 3 (one-time: Serper, You.com, Valyu, SearchAPI). Budget-exhausted providers are skipped automatically.

These are package-level provider tiers and advertised quotas, not proof of current production availability. The production authority fails closed for a credentialed provider until its registration fingerprint, account scope, budget, and approved test evidence are present. A protected key value alone does not prove that the current key works; see docs/STATUS.md for the live classification.

HTTP API

All endpoints prefixed with /api. OpenAPI docs at http://localhost:8000/docs.

Local loopback calls can use the API without auth. Remote HTTP callers must send ARGUS_API_KEY as either Authorization: Bearer ... or X-API-Key: .... Privileged routes under /api/admin/* require ARGUS_ADMIN_API_KEY (or fall back to ARGUS_API_KEY if no separate admin key is configured).

# Search
curl -X POST http://localhost:8000/api/search \
  -H "Content-Type: application/json" \
  -d '{"query": "python web frameworks", "mode": "discovery", "max_results": 5}'

# Search with score attribution
curl -X POST http://localhost:8000/api/search \
  -H "Content-Type: application/json" \
  -d '{"query": "python web frameworks", "include_attribution": true}'

# Multi-turn search (conversational refinement)
curl -X POST http://localhost:8000/api/search \
  -H "Content-Type: application/json" \
  -d '{"query": "what about async?", "session_id": "my-session"}'

# Extract content from a working URL
curl -X POST http://localhost:8000/api/extract \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com/article"}'

# Recover a dead or moved URL
curl -X POST http://localhost:8000/api/recover-url \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com/old-page", "title": "Example Article"}'

# Network-free process liveness (container health target)
curl http://localhost:8000/api/live

# Public minimal startup and cached readiness
curl http://localhost:8000/api/startup
curl http://localhost:8000/api/ready

# Authenticated operator status, health compatibility, and budgets
curl -H "Authorization: Bearer $ARGUS_ADMIN_API_KEY" \
  http://localhost:8000/api/admin/status
curl -H "Authorization: Bearer $ARGUS_ADMIN_API_KEY" \
  http://localhost:8000/api/admin/budgets
curl -H "Authorization: Bearer $ARGUS_ADMIN_API_KEY" \
  http://localhost:8000/api/admin/maya-outbox/status
curl -H "Authorization: Bearer $ARGUS_ADMIN_API_KEY" \
  http://localhost:8000/api/admin/maya-outbox/dead-letters
# After correcting the cause of a permanent rejection:
curl -X POST -H "Authorization: Bearer $ARGUS_ADMIN_API_KEY" \
  http://localhost:8000/api/admin/maya-outbox/DELIVERY_ID/recover

/api/health remains a 200 liveness compatibility route. It intentionally does not check PostgreSQL, providers, Maya, or the browser, so a dependency outage cannot cause container restart storms. See production operations for the canonical topology and operator procedures, and operational status for endpoint semantics, readiness classification, observation expiry, and safe telemetry.

Search modes

Mode

Use for

Example

discovery

Related pages, canonical sources

"Find the official docs for X"