04 / DATA & DATABASES
Explore databases, analysis, and ways to see your data.
← All topicsthinkingbox is a framework for defining tool as MCP servers, running LLM agents against them, and evaluating agent behavior — for offline training-data generation, reinforcement-learning training loops, and model evaluation.
Diskgenius Shift.
Postgres intelligence for ai agents & apps.
decayfmt: a Rust file format where every open permanently corrupts the file. Decay is a first-class property with no recovery without a backup.
Free open-source extractor for AI coding assistant chat histories. Supports Claude Code, Cursor, Windsurf, Aider, Cline/Roo Code, and more.
Open the project to explore the idea and the code.
Emulator for the Voyager Flight Data Subsystem. The computer that's leaving the solar system.
Visualize your year in travel using your Google Location History (Timeline) data
A simple Python CLI to download Garmin Connect data as local files and load them into a SQLite database for analysis
Lean, self-hostable Calendly alternative — a single Go binary + SQLite, API-first and MCP-native. Apache-2.0.
Interactive web visualisation for handwritting detection using a simple neural network
Akashic is an open-source Palantir alternative for connecting, exploring, and analyzing complex data. Fully self-hosted, privacy-first, and requiring no API keys.
Ordinary SQLite files, one sharded database—parallel writes, PostgreSQL, HTTP, Rust, Python, and shard-safe IDs.
Seeds a database by reading the EF Core model. No factories, no CSV, no manual ordering.
Keyty - modern open-source keyboard and mouse visualizer for macOS
A Model Context Protocol (MCP) server for Twenty CRM integration. Enables natural language interactions with your CRM data through Claude and other AI assistants. Supports CRUD operations, dynamic schema discovery, and advanced search across people, companies, tasks, and notes.
A deep-research agent with an enforced budget, verified quotes, and a privacy boundary for local data.
Encodes files into uploadable media.
The plugin market inside DeepSeek Harness — browse, search, one-click install · DSH 可视化插件市场
Render Mermaid diagrams in your terminal or Python app
Open the project to explore the idea and the code.
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.
A Python package for creating interactive maps with anywidget and mapping libraries using TypeScript
[ICLR-2026] The PyTorch Implementation of FastMix. The algorithms are based on our paper: "Fast Data Mixture Optimization via Gradient Descent". FastMix is designed to rapidly identify optimal data mixing ratios for large language models (LLMs). - GitHub - hrtan/fastmix: [ICLR-2026] The PyTorch Implementation of FastMix. The algorithms are based on our paper: "Fast Data Mixture Optimization via Gradient Descent". FastMix is designed to rapidly identify optimal data mixing ratios for large language models (LLMs).
