A search engine that indexes agentic AI research papers, benchmarks, and safety evaluations so builders can ground their architecture decisions in peer-reviewed evidence
ACM just launched CAIS 2026, the first academic conference dedicated to agentic AI systems, with 63 papers and 46 demos covering multi-agent architecture, safety, and evaluation. Meanwhile academic security research like Prism is publishing formal verification approaches for agent runtimes. Builders making production architecture decisions (sandboxing strategy, multi-agent composition, tool-use safety) have no way to find relevant academic work without manually scanning arxiv and conference proceedings. This tool indexes agentic AI papers, extracts actionable findings, and surfaces them when a builder searches for their specific technical challenge.
Social Proof 2 sources
Gap Assessment
2 tools exist (Semantic Scholar, Papers With Code) but gaps remain: No agentic AI specific taxonomy, no extracted actionable findings for builders, no topic profile notifications; No focus on agentic AI architecture decisions, no builder-oriented finding extraction, no digest system.
Features3 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| Semantic Scholar | General academic paper search with AI-generated summaries across all fields | No agentic AI specific taxonomy, no extracted actionable findings for builders, no topic profile notifications |
| Papers With Code | Links ML papers to their code implementations and benchmarks | No focus on agentic AI architecture decisions, no builder-oriented finding extraction, no digest system |
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