caesar-agent
Caesar — autonomous AI research agent with graph-based deep web exploration and adversarial answer synthesis. Open-source alternative to ChatGPT Deep Research, Perplexity, and Gemini Deep Research.
Caesar is an autonomous AI research agent that navigates the web, reasons over a dynamic knowledge graph, and synthesizes novel, grounded answers. In blinded LLM-as-a-Judge creativity evaluations, Caesar scored 26.96 / 30 on the headline full-answers configuration, beating the runner-up (Gemini 3 Deep Research, 23.78) by 3.18 points and outscoring GPT-5.2 Deep Research (15.74) by over 11 points. Cliff's δ effect sizes are uniformly large (≥ 0.76, well above the 0.47 large-effect threshold), and the result is corroborated by an independent 23-rater human study.
⚡ 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/jasonzliang-caesar-agent — read its card at https://meshkore.com/agent/jasonzliang-caesar-agent/.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.
https://meshkore.com/agent/jasonzliang-caesar-agentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jasonzliang-caesar-agent/.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
Do you own caesar-agent?
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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