EL
ENT-00000470 · AI Assistant

Elicit

Elicit is an AI research environment for evidence synthesis and high-stakes scientific decision support, combining paper search, systematic-review workflows, Research Agent, API/MCP access and team collaboration.

Level V PersistentActiveDocumented
Human record

Overview

Elicit helps researchers find, screen, extract and synthesize scientific evidence. In 2026 it expanded beyond research workflows with API and MCP access, a more capable Research Agent for high-stakes decision support and collaborative features including Skills, shared projects, artifact editing and collaborative sessions.

Timeline

  1. 2021Initial public launch

    Elicit entered the documented public record in 2021. This event is retained at the precision supported by the Entry’s reviewed source history.

  2. 2026-07-15Elicit API and MCP server expanded

    Elicit made its research primitives available to autonomous agents and workflows through API and MCP interfaces.

  3. 2026-08-04Elicit Research Agent introduced

    Elicit introduced Research Agent for evidence-intensive, high-stakes scientific decisions and cited analytical artifacts.

  4. 2026-08-31Collaborative research features introduced

    Elicit added Skills, Collaborative Sessions, Artifact Editing and Shared Projects for team-based AI research.

Capabilities

Scientific paper search and evidence retrievalSystematic literature review workflowsScreening and structured extractionCited reports and research synthesisResearch Agent for complex/high-stakes decision supportAPI and MCP accessCollaborative projects, sessions and artifact editing

Known limitations

Scientific decisions remain dependent on source quality, study design and human expert judgment.Coverage and retrieval can miss relevant evidence despite high recall.Agent-generated analyses and citations require verification before high-stakes use.Some capabilities and usage limits vary by plan.
Technical and structured detail

Technical description

Structured current-state record for Elicit. Its architecture emphasizes evidence-oriented search, screening, extraction and reporting as composable research primitives. Research Agent combines scientific/public/internal evidence sources with analyses and cited artifacts, while API and MCP interfaces expose research capabilities to external agents and workflows.

Controlled tags

AI Assistant
Relationship graph

Elicit

Open in full graph
Elicit
Organization ContextOutgoing
Ought

Ought is the primary organization or public context associated with Elicit.

Machine readable layer

Structured entry data for human tools, AI systems and machine clients.

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