Searcharvester
Description
Self-hosted search + markdown harvester for AI agents. SearXNG (100+ engines) + FastAPI + trafilatura. Tavily-compatible /search plus /extract with size presets and pagination. One-command Docker Compose.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Searcharvester 🌾
**Self-hosted search + extract + deep research for AI agents**
📖 **Docs:** [English](docs/en/README.md) · [Русский](docs/ru/README.md) · [中文](docs/zh/README.md)
Three composable HTTP services in a single `docker compose up`:
/search— Tavily-compatible search via SearXNG (100+ engines)/extract— URL → clean markdown via trafilatura, with size presets and pagination/research— deep research agent: give it a question, get back a cited markdown report
No API keys, no quotas, fully self-hosted. Pre-built image on GHCR.
🚀 Quick start
# 1. Clone
git clone git@github.com:vakovalskii/searcharvester.git
cd searcharvester
# 2. Config
cp config.example.yaml config.yaml
# Change server.secret_key (32+ chars)
# 3. (Optional) LLM credentials for /research — any OpenAI-compatible endpoint
cat > .env <🧱 Three services, one API
1️⃣ `POST /search` — Tavily-compatible search
Drop-in replacement for the [Tavily](https://tavily.com) API:
from tavily import TavilyClient
client = TavilyClient(api_key="ignored", base_url="http://localhost:8000")
response = client.search(query="...", max_results=5, include_raw_content=True)Related Skills
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