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.

Live web search plus an LLM of your choice: Farfalle is an open-source, self-hosted answer engine in the Perplexity mold. Queries route through one of several search providers - self-hosted SearXNG for a fully independent stack, or Tavily, Serper, and Bing APIs - and the model composes a cited answer from the retrieved results. Model flexibility is the core design: run llama3, mistral, gemma, or phi3 locally through Ollama for zero per-query cost and full privacy, use cloud models like GPT-4o or Groq-hosted Llama 3 for speed, or route to any provider via LiteLLM. An Expert Search mode uses an agent that plans a multi-step search strategy and executes it for harder questions, and chat history keeps prior research sessions available. The stack is a Next.js and shadcn/ui frontend over a FastAPI backend with Redis rate limiting, shipped as a pre-built Docker image. A browser search-engine entry pointing at your instance makes it the default search from the address bar. Paired with SearXNG and Ollama, the whole pipeline runs with no external API at all.

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.

OpenGTM turns a market, a list, or a workbook into enriched, researched, ready-to-contact prospects on servers you control. Give it a market and it sources companies and people; hand it a CSV or a Clay table and it maps the columns into a shared record library. Enrichment columns run as waterfalls that try providers in cost order until a field is filled, and before anything spends a cent you see best and worst case estimates, with a workbook budget ceiling that halts paid calls on its own. Research columns send an agent to answer the hard question for each row, and the answer keeps citations to the pages it actually fetched, so a human can audit the claim before outreach. Live audiences segment your records and watch for hiring and buying signals, refreshing on schedules and firing automations when a prospect heats up. Finished rows flow out to HubSpot, Salesforce, Slack, Sheets, Airtable, Instantly, Smartlead, webhooks, or a warehouse, while every cell keeps a trace of provider attempts, latency, and cost. Your own agents get the same workspace through a REST API, webhooks, and an MCP server with scoped read and write tokens, and a seeded zero-key demo means the team can explore the whole loop before adding a single provider key under Settings. 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.

Good European market data is either expensive or wrong, so Fonrex runs it all on your server: a self-hosted API serving per-listing prices, cross-checked fundamentals, DCF valuations, and factor models for European and US shares, with no subscription or per-call meter. Every price is stored per listing in its own currency and dated by trading session, so AIR.PA resolves to Airbus rather than a same-ticker US namesake, and one ISIN can carry many listings cleanly. Fundamentals are cross-checked between sources first; figures that disagree with the consensus are rejected, and every answer names the sources it came from. Value any company three ways with FCF, EPS, and dividend DCF models, compare them side by side, and stress the result with a WACC by growth sensitivity matrix. Factor tools return Kenneth French returns for the US, Europe, and developed markets, compute listing factor exposure, and price equity with the risk-free rate of the right currency, alongside FRED and ECB rates, Treasury curves, and Eurostat indicators. Daily history spans ten years, split-adjusted with a dividend-adjusted close; live ticks stream over WebSocket, indicators and a screener run on your stored prices, and deduplicated news arrives per ticker or as a global feed. Results plug into OpenBB Workspace, Google Sheets, Python notebooks, and Zipline backtests, so spreadsheets, dashboards, and research pipelines all read the same numbers. 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.

Searcharvester gives your AI agents a private search and research backend that runs entirely on your server, with a web UI where you watch every research job unfold. The search endpoint speaks the Tavily schema, so existing agent code points at your host and queries more than a hundred SearXNG engines without API keys or quotas. Send a URL to the extract endpoint and it returns clean markdown with navigation, footers, and ads stripped, sized in presets from five thousand characters to fully paginated long documents. Three extractors compete on each page and a quality gate keeps the best result, so hard pages still yield readable text. For bigger questions, the research endpoint runs a team of agents: a lead plans sub-questions, researchers gather in parallel, a critic tries to disprove the findings, and a fact-checker re-verifies numbers and dates before the final report arrives with clickable citations. You assign a different model and reasoning level to each role, follow agent branches, the reading graph, sources, and media live, then read the finished report in the same UI. Search settings let you toggle engines per category, test proxies, and apply changes with a targeted restart. A loop guard enforces budgets for calls, tokens, searches, and page reads across the whole job. 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.

II-Agent is an autonomous AI agent platform that ranked first on the GAIA benchmark by combining multi-step task planning with a full-stack execution environment spanning research, coding, browsing, and content creation. The platform runs a React frontend on port 1420 backed by FastAPI on port 8000, with PostgreSQL for persistence, Redis for task queuing, and MinIO for S3-compatible file storage, all deployable via Docker Compose. Users switch between Anthropic Claude, OpenAI GPT, and Google Gemini mid-conversation using bring-your-own-key authentication. Task domains include deep research with source triangulation, website and mobile app generation from prompts, storybook creation with illustrations, video and image generation via Google Veo and Imagen, presentation building with live collaborative editing, and document manipulation covering PDF extraction, Excel formulas, Word editing, and PowerPoint creation. Built-in connectors integrate Gmail, Slack, GitHub, Notion, Google Calendar, Discord, Dropbox, and Canva for workflow automation. A sandboxed code interpreter runs Python while browser automation with vision capabilities handles web interactions. Custom skills let teams package and reuse workflows. Context management handles up to 120,000 tokens with intelligent window sizing. 3,400+ GitHub stars. Apache-2.0 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.

All-In-One Free SEO Tool packs site audits, rank tracking, keyword research, AI-search visibility checks, and client reporting into one self-hosted workspace that stands in for a stack of monthly SEO subscriptions. Every client opens on a ranked to-do list that separates work the agent can finish unattended from decisions that need a person, with time estimates attached. The crawler runs dozens of on-page checks, and over ninety single-purpose tools cover schema, Core Web Vitals, hreflang, robots.txt, redirects, and server logs. Rank tracking follows keywords by device and by city. The AI visibility tools record when ChatGPT, Perplexity, Gemini, or Google AI Overviews cite your domain. Agencies generate every client's white-label PDF in one run, review the drafts, and send only what they approve. An embeddable audit widget collects leads, and proposals are built from real findings. Four autonomy levels range from suggest-only to full autopilot, and every change the agent applies can be undone. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

One chat window, every model you already pay for, and a history that stays in your own browser unless you decide otherwise. Neo Chat connects to Google, OpenAI, Anthropic, and any OpenAI-compatible gateway, so switching models mid-project takes one click. Agent mode runs multi-step tool workflows, and Deep Research drafts a plan for approval before producing a cited report that can be resumed if it stops. Attach files, build a knowledge base for retrieval, and let memory carry preferences between conversations. Browse a market of ready-made assistants and text skills, add OpenAPI plugins or remote MCP servers, and search the web through a configurable service. Answers render Markdown, math, diagrams, and charts, plus editable artifacts and interactive checklists, quizzes, flashcards, and calculators. Voice input and read-aloud sit beside the composer, and optional encrypted sync moves settings between devices. An access password can protect a shared deployment, and a health page checks that everything is configured. Switch models mid-conversation, keep one history, and stop juggling a tab for every provider. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Build an AI twin that has to show its homework. Agent-Me answers questions from a folder of Markdown notes you control, and every reply arrives with the exact source excerpts behind it. Pick Standard Q&A for a direct grounded answer, Role-based multi-agent to watch a planner, researcher, critic, and writer hand work to each other, or Verified multi-agent to add a final check on citation paths and answer metadata. When the notes do not contain an answer, the critic blocks the draft and the app says so instead of inventing one. Press Compare workflows to run the baseline and verified pipelines on the same question and read the results side by side. Download a sanitized run record for any collaboration, then open it later in the browser to review the trace without re-running anything. The interface speaks nine languages, and the default mode never calls an outside model, so private notes stay on your server. Swap in your own documents and test supported, unsupported, and adversarial questions to see exactly where an assistant stays grounded. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Redd-Archiver builds you a private, permanent copy of Reddit's history: feed it public data dumps and it returns a browsable, full-text-searchable archive of the communities you choose. The source material is enormous and already public: the full Pushshift and Arctic Shift Reddit datasets hold over 2.38 billion posts from 40,000 subreddits, the complete Voat archive adds 3.81 million posts, and Ruqqus contributes another half million, all importable by community instead of wholesale. One import into PostgreSQL becomes three possible websites: a static export that runs on any host down to a USB stick, the default hybrid of static pages plus a live search server, or a fully dynamic site that renders straight from the database with flair, domain, score and date filters. Search understands keywords, subreddit, author, date and score operators, and the same archive answers scripts and AI agents through thirty-plus REST endpoints and an MCP server with 29 tools. Monthly Arctic Shift dumps keep everything current: updates import only your tracked subreddits, skip themselves by checksum when re-run, refresh scores, and never let a later deletion overwrite text you preserved. Subreddit rules, descriptions and wiki pages ride along with the posts, eleven themes restyle the result, and the whole thing can hide behind a Tor hidden service or stand on HTTPS with its own domain. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Unlicense licensed.