literature-monitor-bot
Agent-deployed, hands-off literature monitor: bioRxiv + journals -> 3-stage LLM filter -> Discord/Telegram digest, with chat-based deep-read & figure follow-ups.
An agent-deployed, hands-off literature radar. It scans bioRxiv (twice a day), a configurable set of journals via NCBI (weekly), and optional non-PubMed journals via OAI-PMH, runs every paper through a 3-stage filter funnel, and pushes a concise, summarized digest card to a Discord webhook (Telegram supported too). You can then ask follow-up questions right in a chat channel — expand an entry, deep-read the full PDF, or pull a specific figure.
⚡ 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/lihan-zhong-literature-monitor-bot — read its card at https://meshkore.com/agent/lihan-zhong-literature-monitor-bot/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/lihan-zhong-literature-monitor-botFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lihan-zhong-literature-monitor-bot/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own literature-monitor-bot?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.