Daily picks: research before you write, better AI interfaces, one workspace to try

Fastest-growing this period

Counts come from GitHub's official stargazers/history endpoint: the stars gained on each day of the window. Project briefs and the reading notes below are editorial additions.

1. 1

   mvanhorn/last30days-skill : Find what people discussed in the last month

   Python

   A research skill for gathering recent discussion about a topic across web and community sources. Useful before writing about a fast-moving subject, with the collected posts serving as leads to verify rather than a complete or representative account of public opinion.

   +141
2. 2

   Leonxlnx/taste-skill : Show your AI the look you want before it builds the UI

   Shell

   A skill collection for improving the layout, typography and motion of AI-built interfaces. It also supports making visual references before coding, useful when a clear example would communicate your design intent better than another long prompt.

   +80
3. 3

   pewdiepie-archdaemon/odysseus : Bring AI chat, research and notes into one workspace

   Python

   A self-hosted workspace that brings AI chat, research, documents, notes and planning tools together. Useful for exploring whether keeping these activities in one application helps your daily workflow, with feature maturity checked against the tasks you need.

   +73
4. 4

   chopratejas/headroom : Trim bulky tool output before it fills your AI's context

   Python

   Compresses material such as logs, tool outputs and retrieved documents before an agent sends it to a model. Useful when large, repetitive inputs consume the context window; test whether the compressed version preserves the details your task actually needs.

   +71
5. 5

   RyanCodrai/turbovec : Build a growing document search index with smaller vectors

   Python

   A vector index that uses quantization to reduce the memory needed for document embeddings. It supports adding vectors without a separate training pass, useful for experimenting with a local document search collection that keeps growing.

   +66
6. 6

   NousResearch/hermes-agent : An assistant that can turn past tasks into reusable skills

   Python

   A personal AI agent with persistent memory, accessible from a terminal or chat apps. It can save skills from completed tasks and search earlier conversations, making it interesting for recurring work that benefits from remembering previous attempts.

   +57
7. 7

   safishamsi/graphify : Map your code and docs, with inferred links marked

   Python

   Maps code and mixed project documents into a graph that you can browse and query. It labels connections as extracted or inferred, useful for investigating how two concepts relate while keeping source evidence separate from the tool's interpretation.

   +55
8. 8

   colbymchenry/codegraph : Let your coding agent follow the call chain

   TypeScript

   Builds a local index of code symbols, calls and dependencies for AI assistants to query through MCP. Useful for tracing related code before making a change; try it on your own repository to see whether its answers are more helpful than ordinary file search.

   +45
9. 9

   farion1231/cc-switch : Stop editing the same model settings in several tools

   Rust

   A desktop control panel for the model providers, MCP servers and skills used by several AI coding tools. Useful if you alternate between Claude Code, Codex and similar tools and are tired of keeping their configuration files in sync by hand.

   +44
10. 10

    microsoft/markitdown : Turn a pile of mixed documents into Markdown

    Python

    Converts documents such as PDFs and Office files into Markdown for text-processing tools. Useful when you want to feed a folder of mixed documents into search or an AI workflow while retaining headings, lists and other readable structure where supported.

    +44