Academic Research Agent

AcademicClaw

An autonomous agent that runs structured academic research end to end — from question framing to publication-ready synthesis.

See the Lifecycle ↓ Get Started

Research Lifecycle

Every research session follows the same rigorous, auditable pipeline.

PHASE 01

Frame

Define the research question, scope constraints, and target methodology. Claw decomposes broad interests into testable, field-aligned hypotheses and selects appropriate database coverage.

question decomposition scope definition methodology selection

PHASE 02

Discover

Systematic search across PubMed, Semantic Scholar, arXiv, ACL Anthology, OpenAlex, and CrossRef. Filters by relevance, recency, citation impact, and replication status. Maps the full landscape.

multi-database search relevance ranking gap identification

PHASE 03

Analyze

Deep reading and evidence extraction. Identifies core claims, methodology details, statistical outcomes, and limitations. Detects contradictions across sources and weighs replication quality.

evidence extraction contradiction detection quality assessment

PHASE 04

Synthesize

Builds structured citation graphs, traces influence paths, and produces balanced, defensible narrative synthesis. Generates follow-up hypotheses grounded in the evidence landscape.

citation mapping narrative synthesis hypothesis generation

PHASE 05

Output

Exports publication-ready documents — LaTeX, Markdown, BibTeX. Formatted for journals, theses, conference submissions, or internal reports. Every step logged for peer review and reproducibility.

LaTeX / Markdown BibTeX export audit trail

Live Session

A real research workflow running through all five phases.

academic claw

Frame

you Emerging methods for hallucination mitigation in long-context reasoning models.

claw Decomposed into 3 sub-questions. Targeting NeurIPS, ACL, arXiv (cs.CL, cs.AI). Scope: 2023–2025.

Discover

claw Searching 6 databases… 42 candidate sources found. Filtering by citation count > 5 and peer-review status.

Analyze

claw Grouped: retrieval-augmented generation (14), verifier models (11), uncertainty-aware decoding (17).

claw 3 contradictory findings detected across 2024–2025 benchmarks. Prioritizing replicated results.

Synthesize

claw Citation graph built: 42 nodes, 118 edges. 4 testable follow-up hypotheses generated.

Output

claw Exported: 2-page synthesis (LaTeX), citation map (PDF), bibliography (BibTeX). Audit log saved.

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Quick Start

terminal

# Install

$ go install github.com/academic/cli@latest

# Run a research session

$ academic claw "your research question here"

# Export to LaTeX

$ academic claw --output latex --format neurips