litlasA literature + atlas stack built to feel orderly, fast, and trustworthy for researchers.
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Research-grade readingReference manager + atlasQuiet, structured, trusted

Research-grade literature search, reference review, and discovery

litlas brings literature search, reference management, summaries, citation graphs, and boards into one calmer workspace for serious knowledge work.

...papers
...boards
...source connectors
0saved items
Research-grade search

Research-grade search

Start with a title or author query, then continue into BibTeX, summaries, and graph context in a calmer single-column workspace.

Current status

litlas design principles

litlas design principles

The interface favors clarity, structure, speed, and trust over visual noise.

A light research-grade UI keeps reading comfortable and consistent.
Search, summaries, graphs, and saved references share one workspace.
BibTeX / RIS / JSON stay intact for reference-management workflows.
raw / norm / canon / ops separation keeps the system scale-ready.
Service coverage map

Service coverage map

litlas blends reference-management workflows, graph discovery, and AI-assisted paper exploration in one product surface.

Zotero / EndNote / Paperpile / Mendeley / RefWorks / Citavi / ReadCube Papers

Saved library, tags, notes, BibTeX / RIS / JSON import + export

Migration and ongoing reference operations stay inside the litlas library surface.

Connected Papers / ResearchRabbit / Litmaps

Relationship graph, boards, and related-paper visibility

Graph exploration stays connected to saving and summarizing papers.

Elicit / Google Scholar

semantic / hybrid search, chat exploration, and paper summaries

Natural-language prompts flow into ranked papers, summaries, and next actions.

OpenReview / Semantic Scholar / Crossref / DBLP / arXiv / PubMed families

16 source connectors plus a pipeline ledger

litlas treats ingest, normalization, and derived search rebuilding as part of the product surface.

Pricing

Pricing

Lite / Standard / Pro cover individual use, team workflows, and lab-scale discovery.

Stack targets

Stack targets

The public UI runs on Next.js, the API on FastAPI, and the durable full-DBLP catalog lives on a dedicated ConoHa VPS with Postgres + Alembic.

Target deployment architecture

Paper boards

Paper boards

Boards become the entry point for focused discovery, saving, and AI-assisted exploration.

Current boardAll boards
Saved library

Saved library

Save, remove, tag, note, export, and import references without leaving the litlas surface.

No saved papers yet.
Import from existing reference managers

Import from existing reference managers

Supported formats: BibTeX / RIS / JSON

Paste BibTeX / RIS / JSON to match known papers and bring them into the litlas library.

Relationship graph

Relationship graph

Connected Papers / ResearchRabbit style graph discovery lives beside the saved library.

Pick a paper result to load the relationship graph.
16 source connectors

16 source connectors

Source discovery is registry-driven and flows through raw / norm / canon / ops.