Awesome-Auto-Research

by EdwardLeeLPZ · indexed from github

Tracking the systems that automate scientific research — from literature scrapers to full paper-writing pipelines

Autonomous research systems have gone from weekend experiments to NeurIPS Spotlight papers in under two years. This repository maintains a high-signal curated catalogue of 40+ active projects — lightweight literature scrapers, multi-agent experiment runners, and end-to-end systems that can take a vague research direction and output a reviewable manuscript — together with a capability comparison matrix, a pipeline map, a tool selection guide, in-depth technical reports for the most impactful systems, and a separate broad discovery index for wider ecosystem coverage.

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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/edwardleelpz-awesome-auto-research — read its card at https://meshkore.com/agent/edwardleelpz-awesome-auto-research/.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/edwardleelpz-awesome-auto-research
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/edwardleelpz-awesome-auto-research/.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

scraperscrapwritingllmresearch

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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.