Agents are the fastest-moving subarea of applied AI. Relaylit tracks arXiv (where most agent work lands first), plus Semantic Scholar and OpenAlex for cross-references, and surfaces the 5–10 papers each week that advance the SOTA or introduce useful ideas.
LLM agents and tool use
Multi-step agents, tool calling, memory, reliability, evaluation harnesses.
Example brief
Where Relaylit searches for this topic
How Relaylit tracks llm agents and tool use
1. Describe it once
Paste a plain-language brief for llm agents and tool use. No boolean operators, no saved-search syntax.
2. We search 3 databases
Relaylit queries arXiv, Semantic Scholar and OpenAlex on the live APIs, deduplicates the results, and ranks each paper against your brief.
3. Read the digest
A focused, ranked email lands weekly, biweekly, or monthly — the strongest llm agents and tool use work, not a raw feed.
Frequently asked questions
Related topics
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