Accepted as a NeurIPS 2025 Spotlight paper and rapidly approaching 6,000 GitHub stars, AI-Researcher from the Hong Kong University Data Science Lab delivers the first fully autonomous scientific research system — a multi-agent platform that takes a list of reference papers and returns a complete research contribution with working code, validated experiments, and a formatted academic manuscript. The pipeline orchestrates five distinct phases: a Resource Collector systematically gathers materials from arXiv, IEEE Xplore, ACM Digital Library, Google Scholar, GitHub, and Hugging Face; an Idea Generator performs gap analysis against semantic embeddings to produce 3-5 novel hypotheses with feasibility scores; an Algorithm Designer transforms concepts into functional implementations; a Validation Engine automates testing, performance evaluation, and iterative optimization; and a Manuscript Creator generates polished full-length papers with figures, tables, and citations. The Gradio-based web GUI provides intuitive tabs for environment configuration, example selection, and real-time monitoring of research progress, while the production deployment at novix.science offers immediate browser access without local setup. Scientist-Bench provides a standardized benchmark comprising state-of-the-art papers across diverse AI research domains for evaluating autonomous research capabilities. The system supports multiple LLM providers including OpenAI, Anthropic, Google Gemini, and OpenRouter models with per-task routing for cost optimization. Deploy via Python with pip dependencies or Docker containerization. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

A question goes in; a cited, long-form report comes out - GPT Researcher is an open-source autonomous research agent. A planner agent decomposes the query into sub-questions, execution agents crawl 20+ web sources in parallel with JavaScript-enabled scraping, and a publisher aggregates findings into a 2,000+ word report with inline citations, exportable to PDF, Word, and Markdown. The Deep Research mode extends this recursively: each result yields follow-up questions that are explored to configurable breadth and depth in a tree pattern, while accumulated learnings, citations, and visited URLs are shared across branches. It also researches local documents (PDF, CSV, Word) alongside the web. LLM and search providers are pluggable, including OpenAI, Anthropic, Google, DeepSeek, and Ollama for models, and Tavily, Google, Bing, DuckDuckGo, and SearXNG for retrieval. It ships as a Python package, a FastAPI server with web frontend, a Docker image, and an MCP server for use inside Claude or Cursor. MIT-licensed.

Execute comprehensive multi-angle investigations across scientific journals and web repositories using Local Deep Research, an autonomous intelligence engine designed for researchers, analysts, and knowledge workers. Users can submit complex analytical questions through a self-hosted web console to initiate agentic research cycles powered by LangGraph workflows. The application dynamically queries search providers including SearXNG, arXiv, PubMed, Wikipedia, and Google, iteratively evaluating discovered content to formulate targeted follow-up queries. Discovered academic papers and web sources can be indexed into an encrypted personal library to combine internal documentation with external search intelligence. Reports are synthesized with structured outlines, section headings, and verifiable academic citations that link directly to source references. Individual research sessions, system logs, and user credentials remain isolated in per-user SQLCipher databases protected by AES-256 encryption. Automated subscriptions deliver scheduled news digests and topic monitoring summaries directly to connected notification channels. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Ask a hard question and get back a cited report instead of a chat answer: Deep Research Web UI plans its own searches, reads the pages it finds, checks claims against the sources, and shows its work as it goes. The research unfolds as a live tree in your browser, each branch a search direction with streaming responses, so you watch a broad question narrow into answerable parts. When snippets are not enough, it fetches full source pages and extracts verbatim evidence, sharing one token and request budget across the run. Every claim cites its source inline, and clicking a citation opens an evidence panel with the source, retrieval time, and the excerpt behind the finding. Findings can be followed up: name what to verify and the agent searches again, updating only the passages that cite that finding while the original report stays untouched in your history. You bring the models, from OpenAI-compatible endpoints, DeepSeek, and OpenRouter to a local Ollama or LiteLLM proxy, paired with Tavily, Firecrawl, Google PSE, You.com, or Serply for the searching. Finished reports export as Markdown or PDF, search separates your question from time and source filters and retries once with a revised query when evidence is thin, and Server Mode keeps the team's API keys in environment variables behind an optional access password instead of in every visitor's browser. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Thesys is a research workspace where you search academic papers, build your own library, and ask questions that answer with citations you can click straight onto the highlighted passage of the PDF. Discovery searches OpenAlex and arXiv in one pool, so a paper you find can be previewed and added to your library without leaving the workspace. Uploaded PDFs are ingested locally, and when you ask a question the answer cites its sources in the document, jumping the preview to the retrieved passage with either a full-passage or a tighter focused highlight. Reader mode opens a paper full-width so you can select any span of text and ask about that exact passage. Document summaries follow a consistent structure of problem statement, methodology, key findings, limitations, and metrics, with citations that still land on the source text. Figures and flowcharts are described during ingest, so questions and summaries can reference them too. When two papers disagree, Compare mode takes one claim and classifies each retrieved pair as corroboratory, contradictory, or neutral, with confidence shown in a side panel. Your bibliography exports as BibTeX, RIS, EndNote, or CSV for whatever reference manager you already use. Papers, embeddings, and chat history stay on your own disk the whole time. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

For research teams that need to show what was recorded and when, eLabFTW® is an electronic lab notebook that keeps experiments, lab inventory, and equipment bookings in one shared, searchable system. Each experiment holds rich-text notes, tables, images, checkable steps, custom metadata fields, tags, statuses, and attached files. Templates turn a protocol you repeat into a one-click starting point. A separate resource database catalogs antibodies, plasmids, cell lines, chemicals, and instruments, and typing # in an experiment links straight to any of them. Compounds import from PubChem by CID or CAS number, arriving with formulas, identifiers, and hazard data. The inventory tree maps buildings and their sub-locations, records where each container is stored, and tracks quantity and unit. Book a microscope by dragging a slot on the scheduler, and permissions decide who may reserve what. Entries can be signed with Ed25519 keys and timestamped through RFC 3161 authorities such as DFN, Digicert, and GlobalSign, or anchored on the Bloxberg blockchain; a timestamp archive can never be edited or deleted. Export to PDF, ZIP, CSV, JSON, or .eln archives, and import .eln or CSV files when moving from spreadsheets or another notebook. Users sign in locally or through SAML2 or LDAP, and an API with per-user keys lets instruments and scripts read and write entries. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With DSpace, a library or research office can give every thesis, journal article, and dataset its own permanent web address, a searchable metadata record, and files visitors download from the archive. Content sits in a tree of communities and collections, and each collection decides who may deposit and how many review steps follow; reviewers accept a submission or reject it with a note that sends it back to the author. Embargoes hold files back until a set date, access policies limit other files to chosen groups, and sign-in works through LDAP, Shibboleth, SAML, OpenID Connect, or ORCID. Search covers metadata and the extracted full text of uploaded files, facets narrow the results, and browse pages sort by title, issue date, author, or subject. Editors can correct a published item through the submission form. Administrators inspect an audit trail and rewrite homepage news from an admin form. Entity types for people, organizations, projects, journals, and datasets link each publication to the work behind it, and DOIs can be registered through Crossref. Optional settings let authors keep an email address private on their researcher profile and download their own restricted files. Usage reports count visits, downloads, and top countries per item. REST, OAI-PMH, SWORD, and Google Scholar metadata connect the archive to harvesters, deposit tools, and search engines. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-3-Clause licensed.

OpenBB stands as the world's most popular open-source finance repository — an Open Data Platform that evolved from a pandemic-era Reddit post into a full-blown infrastructure layer challenging Bloomberg's $25 billion empire. The "connect once, consume everywhere" architecture consolidates proprietary, licensed, and public financial data sources into multiple consumption surfaces simultaneously: Python environments for quants building models, OpenBB Workspace and Excel for analysts creating dashboards, MCP servers for AI agents performing automated research, and REST APIs for custom applications. The modular extension system supports dozens of data providers including Yahoo Finance, Alpha Vantage, FRED, Intrinio, Polygon, and Tradier with standardized schemas that normalize responses across vendors. The CLI offers a terminal-style interactive interface with autocomplete, parameter hints, and chart rendering for rapid data exploration. Provider routing handles authentication, rate limiting, and response normalization transparently so switching between free and premium data sources requires changing a single parameter. The platform covers equities, options, fixed income, crypto, forex, ETFs, mutual funds, economics, technical analysis, quantitative analysis, and alternative data across global markets. AI agent integration exposes every data endpoint as tool-callable functions with schema discovery enabling LLMs to query financial data programmatically. Install via pip with Python 3.9+ and deploy the REST API server for team access. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

World Monitor replaces twenty or more browser tabs by fusing geopolitical, military, financial, and infrastructure signals onto a single interactive canvas built with TypeScript, Vite, globe.gl with Three.js for the 3D globe, and deck.gl with MapLibre GL for the flat map. World Monitor ingests live data from 530 upstream sources including ACLED and UCDP for conflict events, OpenSky Network for military and civilian aircraft, AISStream for vessel positions, NASA FIRMS for satellite fire detection, USGS for earthquakes, and FRED, IMF, BIS, and Finnhub for macroeconomic and market data. The Country Instability Index v8 computes real-time stress scores across 31 Tier-1 nations, while the finance radar tracks 29 stock exchanges, commodities, and cryptocurrency with a 7-signal market composite. Six specialized dashboard variants — World, Tech, Finance, Commodity, Energy, and Happy — deploy from a single codebase. AI summarization runs locally through Ollama and LM Studio integration or optionally via Groq and OpenRouter cloud providers, with Transformers.js powering browser-side inference. The platform supports 26 languages with native-language feeds and RTL layout, and provides MCP server integration for AI agent connectivity. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Positioned as the open-source NotebookLM alternative for AI agents, SurfSense delivers a live web research platform where your agents access structured data from Reddit, YouTube, Instagram, TikTok, Amazon, Walmart, Google Maps, Google Search, Indeed, and any page on the open web through one REST API or MCP server. Scheduled and event-triggered agents transform findings into briefs, alerts, podcasts, and presentations, while a built-in knowledge base keeps every discovery searchable with Perplexity-style cited answers using hybrid semantic and full-text search powered by PostgreSQL with pgvector. Upload PDFs, Office documents, images, and audio files, or sync Google Drive, OneDrive, and Dropbox — 50+ file formats supported with AI file sorting that auto-organizes documents by source, date, and topic. The MCP server exposes scrapers, knowledge base, and workspaces as native tools for Claude, Cursor, and any MCP-compatible agent. Cross-country proxy rotation handles Reddit, TikTok, and Google Search scraping with geo-aware sticky sessions and captcha-aware anti-bot handling. The platform features collaborative chats, multi-format document export, git-native knowledge base with Open Knowledge Format export, and a desktop quick-ask panel with global shortcut. Docker Compose deployment manages nine services including Caddy proxy, PostgreSQL, Redis, FastAPI backend, Celery workers, zero-cache real-time sync, and Next.js frontend with automatic Watchtower updates. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Perplexity's answer-engine experience, self-hostable and open-source: Morphic searches the web and writes cited answers. Instead of returning a list of links, it searches the web, reads the sources, and generates a complete answer with inline numbered citations. The generative UI streams rich components, source cards with thumbnails, image grids, syntax-highlighted code, and LaTeX math, rather than plain markdown. Quick mode answers fast; Adaptive mode runs deeper multi-step research. Search backends are pluggable: the Docker Compose bundle ships with a private SearXNG instance so no search API key is required, and Tavily, Brave, and Exa are supported alternatives. LLM providers include OpenAI, Anthropic, Google, Ollama, and any OpenAI-compatible endpoint, with per-mode model mapping - fast, cheap models for quick searches, stronger models for adaptive research, tuning the cost-quality trade-off per query type. An inspector panel exposes tool execution during multi-step research, and AI-suggested follow-up questions keep an investigation moving. Chat history persists in PostgreSQL, results are shareable by URL, file uploads feed context into queries, and optional Supabase authentication adds multi-user or guest access. Because the default search path is your private SearXNG instance, research topics never hit a commercial search API - and with local Ollama models the marginal cost of a query approaches zero. Built with Next.js, TypeScript, and the Vercel AI SDK under Apache 2.0.

OpenNotebookLM is a self-hosted research workspace that reads your sources with you, answering questions only from the material you gave it and showing the passage behind every claim. Import papers, spreadsheets, recordings, web pages, PDF links, YouTube videos or playlists, Markdown folders, Obsidian vaults, and Git repositories, then select which sources the chat may use as evidence. Stream answers with follow-up questions, hover any numbered citation to inspect the supporting passage and page, and let the app flag citations that look unsupported before you trust them. The Studio turns the same sources into cited reports in briefing, study guide, FAQ, or timeline formats, expandable mind maps you can pan and question, two-host audio overviews in deep dive, brief, critique, or debate styles, narrated slides exportable to PowerPoint, and tables whose cells carry their own citations. Generate flashcards and timed quizzes from what you read, mark cards for review, and resume saved progress later. Save cited answers and Studio outputs as notes, convert notes back into searchable sources, and export almost anything: conversations, projects, mind maps as SVG, flashcards as Anki text, audio as MP3. Share projects with viewer or editor roles, keep conversations private per person, and bring Claude, OpenAI, any OpenAI-compatible provider, or a local Ollama model, with extraction, OCR, Whisper transcription, and Kokoro audio synthesis running on your own server. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.