Argus
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 start —
pip install argus-searchgives 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_idfor 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-urlwith Wayback Machine and archive fallbacks - 4 integration paths — HTTP API, CLI, MCP server, Python SDK
