Production AI Research Agent

The ResearchAgent is a working AI research agent: it searches real sources, synthesizes what it finds, cites it, and exports a report — with the full production layer of memory, tracing, guardrails and evals around it, so the output is auditable, not a black box.

The flow
searchsynthesizecitefact-checkexport report
Citations you can trust
The dedupe, citation and fact-check steps are deterministic — no model call — so citations are reproducible rather than hallucinated. It queries the web plus real academic APIs (arXiv, Semantic Scholar).
Why the production layer matters for research

Grounding

A retrieval-grounding score flags claims the sources don't actually support.

Observability

Every search and synthesis step is in the step tree with its cost — a long run is inspectable and its spend is known.

Scratchpad memory

Findings can be parked in the scratchpad tier for long autonomous runs that outgrow the context window.

Evals

Seeded cases score citation quality and grounding so the agent doesn't drift toward confident-but-unsourced answers.

Get it running
bash
agentfast new research --sdk vanilla
docker compose up

The ResearchAgent ships on the vanilla loop — agentFast's own tool-use loop with the entire production layer around it. See also the support agent and coding agent, or the tools that power the search.

Stop rebuilding the plumbing.

agentFast is the production layer — memory, 50 tools, observability, evals, guardrails, human-in-the-loop — for LangGraph, CrewAI, the Claude & OpenAI Agent SDKs & Vanilla. Own it for life.

Get agentFast — from $89