Feixon Research Station connects literature reading, knowledge records, research agents, reusable skills and LaTeX writing into one project workspace. Its SRKB layer is a structured vector database for paper evidence, built so both AI and researchers can search, inspect and verify the same sources.
Paper reading · Paper notebooks · Citation-grounded AI · Collaborative LaTeX · Research skills · Team management · Community sharing
Each paper becomes structured material the rest of the product can reuse: chunks for retrieval, claims for reasoning, metrics for comparison, citations for writing, and durable AI steps for long-running work.
Five product surfaces that make the positioning concrete: evidence capture, semantic search, grounded chat, collaborative LaTeX writing and the open community.
Upload a paper and the AI reads alongside you — pulling out claims, results and open questions, each linked to the exact passage. You review and curate, then it is embedded into the project library, ready to query.
pgvector-powered search spans titles, overviews, extracted claims, benchmarks, datasets and metrics, scoped to the active project.
The research agent plans retrieval, reads stored evidence, and streams answers with citation cards and a tool-use trace you can inspect.
A multi-file LaTeX IDE with worker-side PDF builds, side-by-side preview and real-time collaboration, plus an in-editor assistant that proposes edits you can review.
Publish your paper projects and the skills you write under an open license, so others can build on verified evidence. A provider bench ranks the most cost-effective API providers to keep token spend down.
Publish the paper projects you curate and the skills you write to the community under an open license — a small contribution to shared, rigorous research. To keep token spend down, an API provider bench ranks the most cost-effective providers for everyone.
Publish a project and others can build on evidence you have already verified; share a skill and repeated research workflows need not be rebuilt. Everything is openly licensed.
Package a curated paper library with its extracted evidence and publish it under an open license.
Turn a reusable research workflow into a skill others can copy into their own workspace in one click.
An evidence-backed ranking of the API providers with the best cost, context and uptime.
Found a project or skill you like? Copy it straight into your own project and get going.
Shared work carries an explicit open license — clear provenance, safe to reuse.
Stars and downloads surface the projects and skills the community trusts most.
Search tools, source notebooks, LaTeX editors and coding agents each solve part of the job. Feixon RS’s advantage is continuity: the SRKB evidence store, AI agents, writing workspace, community and team operations share the same project context.
The advantage is workflow integration: Feixon RS keeps evidence, agents, writing and operations in one project context.
Fast-RAG handles quick citation-backed Q&A. Research-agent mode plans multiple steps, calls tools, reads evidence and keeps a visible trajectory for review.
Papers are broken into chunks, claims, benchmarks, datasets and metrics with provenance, giving both humans and agents a shared evidence layer.
Multi-file TeX editing, worker-side PDF builds, side-by-side preview, real-time collaboration, AI edit proposals and source zip export.
Reusable workflows for literature review, rebuttal prep, evidence audits, method comparison and paper packaging — shareable to the community.
Pick up community paper-project packs to help newcomers ramp up on the AI-assisted research process fast — and give your own work back.
Per-project roles, viewer/editor boundaries, signed uploads, provider keys, model allowlists, routing priority, quotas and usage accounting.
Parsing, embeddings, searches, PDF builds and agent turns run as background jobs with queues, leases, retries, cancellation and live event timelines.
Create a workspace, invite collaborators, connect model providers, and keep the evidence trail close to the manuscript.