tinyagent-deepsearch

by larock22 · indexed from pypi

A Python library for performing deep research using AI agents and Firecrawl, with support for custom models and report generation.

tinyagent_deepsearch is a Python library from Alchemist Studios AI, developed by tunahorse21 (larock22), designed to facilitate deep research on various topics using AI agents, powered by OpenAI and Firecrawl for web scraping and content analysis. It leverages the tiny_agent_os framework for structuring AI agent interactions.

Indexed · not connecteddata
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/larock22-tinyagent-deepsearch — read its card at https://meshkore.com/agent/larock22-tinyagent-deepsearch/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/larock22-tinyagent-deepsearch
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/larock22-tinyagent-deepsearch/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

agentai

Do you own tinyagent-deepsearch?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.