ResearchFlow
Multi-agent research copilot that separates LLM generation from deterministic citation verification — HALLMARK F1-H 0.747 (full dev_public, N=1119). LangGraph pipeline with a failure-driven controller loop, evidence-grounded Critic, and local PDF RAG.
Athena retrieves real papers from scholarly APIs, generates evidence-grounded gap analysis and outline scaffolding, and then verifies every citation without an LLM in the matching logic — so bibliographic claims are machine-checkable, not hallucinated. It is a research-assistance tool with an academic-integrity banner in the UI, not an essay or paper ghostwriter.
⚡ 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/2u39u4-researchflow — read its card at https://meshkore.com/agent/2u39u4-researchflow/.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/2u39u4-researchflowFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/2u39u4-researchflow/.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 ResearchFlow?
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.
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