SurfSense

Open Science is an open-source, local-first, model-agnostic AI research workbench developed by AIPOCH for scientists and researchers. It runs on macOS, Windows, and Linux and supports computational and data-intensive research in fields including machine learning, statistics, life sciences, chemistry, materials science, physics, and environmental science. Users create projects and sessions, describe research goals in plain language, attach source files, select a model and approval mode, and inspect the agent’s tool activity. Scientific AI agents can read files, search the web, execute Python and R code, query scientific data sources, and produce reports, tables, figures, and other research artifacts. The workbench supports literature review, hypothesis development, code execution, data analysis, simulation, visualization, and related reproducible research workflows. Its first-run setup checks the environment, configures model-provider credentials, optionally prepares Python and R runtimes, and prepares an agent runtime such as Claude Code, OpenCode, or Codex; app-managed runtimes can be installed without Node.js, npm, or administrator privileges. Projects keep sessions, uploads, generated files, and preview state together. Conversations record agent answers and the commands, file reads, edits, searches, and connector calls behind them. Generated artifacts are stored as immutable, checksummed versions; their Provenance view can show producer code and execution history, referenced inputs, the observed environment inventory, the producing conversation branch, and version-scoped reviewer findings, marking unavailable evidence as unavailable rather than guessing.

OpenScience is an open-source AI workbench for scientific research developed by Synthetic Sciences. It runs as a browser-based workspace where a single research agent takes a goal through literature review, hypothesis formation, code writing and execution, experiments, analysis, and a written report. The agent can load domain skills, delegate bounded exploratory or execution work, query scientific databases, and preserve sessions as observable research traces. The local server hosts the workspace UI, agent runtime, skill library, and tool layer. The agent plans with a research harness and calls shell, editor, LSP, MCP, scientific database, and skill tools; sessions, skills, artifacts, and provenance are stored on disk. The workbench includes a file tree, code editor, terminal, session history, and inline rendering for molecules, structures, genomes, and plots. Its bundled skills cover training, evaluation, datasets, molecular and clinical biology, cheminformatics, papers and LaTeX, figures, and scientific runtimes, while database connectors provide direct access to services including UniProt, PDB, Ensembl, ChEMBL, PubChem, arXiv, OpenAlex, and Semantic Scholar. It supports frontier and open-weight models through user-provided keys, eligible ChatGPT or Codex access, local models, and optional Ace-managed models. Models are routed per request, allowing providers to be switched without changing the workspace. Extensibility includes LSP integration, MCP servers, plugins, custom agents and commands, experimental Python environments and BioNeMo adapters, and a TypeScript SDK. It is installed with the @synsci/openscience npm package or launched through npx; platform binaries and desktop installers are distributed through GitHub Releases. A free Synthetic Sciences account links an installation and can provide credential synchronization, private research graphs, enhanced search, and optional credit-backed models, while BYOK and local-model usage remain separate from Ace.

doc7 is an open-source document-to-Markdown tool that converts PDFs, Office files, scans, screenshots, charts, formulas, and diagrams into AI-ready Markdown using an OpenAI-compatible multimodal vision model. It renders and understands complete pages rather than relying on character extraction, preserving text, tables, formulas, chart and diagram relationships, image meaning, and visible UI state; the video also describes page-level retry and resume. The model can run locally through LM Studio or Ollama or through a remote endpoint, with no required OCR stack or document-processing service. The same binary provides an interactive CLI, batch processing, model checks, MCP support, a Go SDK, and an asynchronous HTTP service, with installers for macOS, Linux, and Windows.

GenOffice is a free, open-source AI office suite from Genspark AI for macOS, Windows, and Linux. It consists of six Electron applications sharing an engine layer: Docs for .docx files, Sheets for .xlsx spreadsheets, Slides for .pptx presentations, PDF for viewing and editing PDFs, Markdown for plain Markdown files, and a shell application that hosts the editors. It opens and saves Microsoft Office formats, and includes light, dark, and system themes. Its AI panel supports document-aware, block-level edits with version snapshots and diffs; in spreadsheets, presentations, and PDFs it provides a tool-calling agent over document state. Built-in tools include web search, image search, image generation, and media analysis. Users can sign in through Genspark or supply their own keys for providers including Claude, OpenAI, Gemini, DeepSeek, Kimi, GLM, Qwen, Doubao, MiniMax, Grok, Mistral, and OpenRouter, as well as custom OpenAI-compatible endpoints and local servers. GenOffice Docs uses byte-preserving .docx editing in which only modified paragraphs are regenerated, with Word-compatible pagination, tracked changes, comments, styles, equations, and ink. GenOffice Sheets uses the open-source Univer core with in-house extensions and a Rust .xlsx import/export sidecar, plus charts, pivot tables, slicers, conditional formatting, and formula tracing. GenOffice Slides has an in-house .pptx parsing, rendering, and editing engine with masters, layouts, charts, cropping, ink, and text shaping. GenOffice PDF supports annotations, forms, outlines, stamps, signatures, page operations, printing, direct text reflow and image editing, and local conversion to editable Word, PowerPoint, or Excel files; scanned PDFs can use system OCR on macOS and Windows. GenOffice Markdown is a Tiptap block editor that saves headings, lists, tables, images, and code blocks back to plain Markdown. The suite is distributed under the Apache-2.0 license with installers for the three supported desktop platforms.

OpenCode Superapp is a native workspace developed by OpenCode that integrates local, self-hosted, or cloud AI models with realtime voice interaction. It offers private dictation, Computer Use (control of local computer tasks), extensions, widgets, and secure remote access. The site describes the product as Codex-inspired.