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00:00 Every week, developers release new open-source projects on GitHub. And this is our weekly GitHub project update video covering the best of them. Top trending open- source GitHub projects. This week, you'll discover useful and trending developer tools from self-hosted platforms to agentpowered workflows. Without wasting time, let's get started. >> Welcome back to Manu AGI tutorials.
00:19 Here we explore the exciting world of AI, latest AI tools for you. So don't forget to hit that subscribe button and the notification bell so you don't miss out on the latest AI insights. So let's start today's video. >> Project number one, Buzz. Self-hostable workspace where humans and agents collaborate. Buzz is a self-hostable workspace from Block where humans and AI agents share the same rooms.
00:45 It runs as a noster relay. So every message, reaction, workflow step, review approval, and get event becomes a signed event in one log with the same identity model and audit trail. Agents join channels like teammates with their own keys and can open repos, send patches, review code, run workflows, and edit canvases. It ships a Rust relay, Atari desktop app, an agent first CLI, and an ACP harness for goose codeex and claude code.
01:13 Run the relay and share a room with your agents. You won fine by OBO. Project number two, World Monitor. Realtime global intelligence dashboard for situational awareness. World monitor is an open-source global intelligence dashboard that pulls news, geopolitics, and infrastructure signals into one situational awareness interface. It aggregates over 500 curated feeds across 15 categories and synthesizes them into AI written briefs, then plots events on a 3D globe or a WebJL flat map with dozens of layer types.
01:43 It correlates military, economic, disaster, and escalation signals. Scores country instability and tracks markets, commodities, and crypto. You can run it locally with Alma and no API keys. Self-host it or use the desktop app, MCP server, REST API, CLI, and SDKs. Clone it and watch the world. Project number three, Pumpkin. Minecraft server written entirely in Rust.
02:08 Pumpkin is an open- source Minecraft server built entirely in Rust. It aims to let anyone host a fast, efficient server by using multi-threading for speed while sticking to vanilla game mechanics. It supports both Java and Bedrock clients, handling encryption, packet compression, world loading and saving, lighting, chunk generation, inventories, entities, permissions, and translations.
02:31 Configuration is towen based, so you disable what you don't need. An archon plus velocity and bungee cord proxying are supported. It's organized as focused Rust crates with a plug-in API and runs through Docker or Nyx. Spin up a server and see the difference with project number four. Ego Light, a browser you and your agents share. Adolite is a Mac OS browser built so you and your AI agents work in parallel.
02:58 Automation frameworks need a separate browser to drive and login rarely carry over. So, Egoite makes one browser both sides share. Each agent gets its own isolated space running tasks in the background while your tabs stay untouched and you can watch take over or stop any space. A helper called ego browser connects any agent CLI like claude codecs or cursor exposing snapshot.
03:21 Click fill and navigate as JavaScript the agent composes in one pass. Browsing data stays on your device. Download it and delegate a browser task. Project number five, Omni Route. One local endpoint for hundreds of AI providers. Omni Route is an open-source AI gateway that puts one local endpoint in front of hundreds of model providers. You point any coding tool at it, and it routes requests across your connected providers, automatically falling back when a quota runs out or a provider fails.
03:49 Combos chain models together using 19 routing strategies, while a stacked compression pipeline trims tokens before requests leave your machine. It works with clawed code, codeex, cursor, clinet, and any open compatible client and runs through npm, docker, electron or termox. Keys stay encrypted locally. Install it and stop hitting limits. Project number six, CAD skills.
04:15 Agent skills for CAD robotics and hardware. CAD skills is an open-source library of agent skills for CAD, robotics, and hardware design. It lets an AI agent generate, inspect, source, slice, and handoff CAD and robot description files from your local project folder. The CAD skill builds and edits models from plain language or images, exporting step, STL, 3MF, and GB, while others write URDF, SRDF, and SDF robot files, draw 2D, DXF, find off-the-shelf parts, slice G-code, and preview everything in a local browser viewer.
04:49 You install it with the skills CLI or as a codec or claude code plugin. Describe a part and watch it build. Project number seven, AI job search. Claude code framework for tailored job applications. AI job search is an open-source job application framework built on Claude Code. You fork it, fill in your profile from a CV, LinkedIn export, or a guided interview, then run three commands: setup, scrape, and apply.
05:15 It searches job portals, scores each posting against your profile, and drafts a tailored latte CV and cover letter. A second agent then researches the company and critiques the drafts before revision, and the workflow compiles and visually inspects both PDFs until the layout is clean. Every claim is checked against your real profile. Fork it and apply with confidence.
05:36 Project number eight, Catch 2, modern C++ native unit testing and benchmarking framework. Catch 2 is an open- source unit testing framework for C++ that also provides microbenchmarking and simple BDD macros. Its appeal is how natural it feels to use. Test names are plain strings rather than identifiers. Assertions read as ordinary C++ boolean expressions and sections let you share setup and tear down code locally inside a test.
06:01 You write a test case with a macro, add require checks, and mark benchmarks with a tag so they run only when asked. It targets C++14 and later, ships as a normal multi header library and builds with CMake, Basil, Mason, or Conan. Add it and start testing. Project number nine, Office CLI. Command line Office suite built for AI agents. Office CLI is an open-source command line Office suite built so AI agents can read, edit, and automate Word, Excel, and PowerPoint files.
06:30 It ships as a single self-contained binary with no Office install and no dependencies, giving every element a stable path, so agents navigate documents without touching XML. A built-in rendering engine turns files into HTML or PNG, so an agent can see its own output and fix overlapping shapes or overflowing text, even in Docker or CI. It also evaluates Excel formulas, builds pivot tables, merges templates, and registers as an MCP server.
06:57 Install it and let your agent build documents. Project number 10, Desktop Commander MCP terminal file and process control for AI. Desktop Commander is an open-source MCP server that gives an AI assistant control of your terminal file system and running processes. It starts and interacts with programs, streams output, manages longunning sessions, and searches files by name or content.
07:20 It reads and edits text, Excel, PDF and Word files. Applies surgical search andreplace edits and runs Python Node or R code in memory for quick data analysis. A file preview panel renders markdown images and directory trees inside the chat. It installs into claw desktop cursor, VS Code, codecs, and more with Docker isolation available. Install it and hand over your desktop.
07:43 Project number 11. Giga token language model tokenization at gigabytes per second. Giga Token is an open- source tokenizer for language modeling that processes text at gigabytes per second. Tokenizing large training corpora is a real bottleneck. So it rewrites the slow parts. Prey tokenization usually handed to a reax engine runs on handtuned SIMD. Prey token mappings are cached in a tight hierarchy and interaction with Python is kept minimal so threads barely touch each other.
08:12 You install it with pip and either use its own API to read files directly in Rust or drop it into existing hugging face or tick token code in compatibility mode. It supports most common tokenizers across x86 and ARM. Install it and tokenize your corpus a distra number 12. Palmier Pro open-source Mac OS video editor built for AI. Palmier Pro is an open-source Mac OS video editor where you and an AI agent edit inside the same timeline.
08:39 It's written from scratch in Swift as a full editor in the mold of Premiere Pro. So you can use it on its own like any other editing app. Generative models such as Cance, Cling, and Nano Banana Pro sit inside the timeline for creating video and images. While the app runs, it exposes a local MCP server, so Claude Code, Codeex, Cursor, or Claude Desktop can work on your project alongside you, or you can use the inapp agent.
09:02 Download it and edit with your agent. Project number 13, canvas UI. Creative canvas components with WebJL over live HTML. Canvas UI is an open- source library of creative framework agnostic components drawn on canvas. Most of it builds on the experimental HTML and canvas API which lets WebGL effects read and redraw your live DOM so text stays selectable and links stay clickable while fluid fire and glass distort the page.
09:28 24 components ship today, including Liquid, Blaze, Glass, Shatter, and VHS, each with React, Vue, Spelt, and Vanilla Builds. You copy the source in through a Shad's compatible registry rather than installing a package, and unsupported browsers fall back to WebGL overlays. Add one and watch your page ripple. Project number 14, RUI, free component library, extending the Shad DUI ecosystem.
09:55 Ryui is a free open-source React component library for the Shad DUI ecosystem. It offers more than a thousand composed examples across 68 categories, each shown inside a realistic dashboard layout rather than an isolated demo. 17 in-house components fill gaps and base shad DUI, including data grid, conbon, filters, sortable, timeline, stepper, and tree, and each ships in both Radics UI and base UI versions.
10:22 You add blocks through the shad dui so the source lands in your repo with no package and no lockin. It builds on tan stack table dnd kit recharts react hook form and zod. Browse the catalog and build your dashboard. Project number 15. Coolify self-hostable platform to deploy on your servers. Coolify is an open-source self-hostable platform that gives you the ease of a cloud host on your own hardware.
10:45 It manages your servers, applications, and databases over nothing more than an SSH connection. So, a VPS, bare metal box, or Raspberry Pi all work the same way. From one dashboard, you deploy static sites, databases, full stack apps, and hundreds of one-click services. There's no vendor lockin because every configuration is written to your own server, and your resources keep running even without Coolify.
11:08 A single install script sets it up. Run it and own your deployments. Project number 16, VideoShockcraft, agent skill for cinematic product promo videos. Video shotcraft is an open- source agent skill that turns clawed code or codecs into a motion design studio for product videos. You point it at your product and its storyboards, animates and sound designs, a promo built with remotion using real page captures, 2.5D camera moves, beat synced cuts, and film grade effects.
11:36 It ships 106 shot recipe cards covering purpose, timing, parameters, and known pitfalls, 161 motion previews you browse in an online gallery, and a validated 36-second template your agent fills with your own screenshots and branding. Install it with the skills CLI. Point it at your product and roll. Project number 17, Open Ship self-hosted deployment platform with built-in CI/CD.
12:00 Open Ship is an open- source deployment platform with built-in CI/CD. You point it at a repo and it detects the stack, builds it, configures everything, and ships containers with no pipeline files or YAML to write. Unlike control plane tools that run dashboards, builders, and apps together on one machine, Open Ship builds locally and pushes finished containers over SSH, so your server runs only your apps.
12:25 It handles databases, domains, SSL, CDN, mail, backups, and monitoring. Works on any Linux server or its own cloud and offers a desktop app, web dashboard, CLI, REST API, and MCP. Project number 18, DeepSack. Agentpowered vulnerability scanner for large code bases. Deepsac is an open-source agent-powered vulnerability scanner you run inside your own infrastructure.
12:50 It's built to review every file in large existing repositories and surface hard to find issues that have sat in an application for years. The pipeline starts with fast rig X matchers to find candidate sites, then sends each one to an AI investigation that produces findings and a recommendation with optional triage, revalidation against git history and markdown or JSON export.
13:11 Work fans out across worker machines or versal sandbox microVMs and every command is idmpetent. Point it at your repo and find what's hiding. Project number 19, Muscriptor multi-instrument music transcription model turning audio into MIDI. Muscriptor is an open model for multi-instrument music transcription from Coutai and Marilo. Trained on a large-scale data set of 170,000 songs spanning classical to heavy metal.
13:36 It converts an audio file into a stream of node events with pitch, timing, and instrument or writes a MIDI file directly. You can name the instruments to expect and choose greedy decoding, sampling, or beam search. Three transformer decoder variants run from CPU to GPU, downloading automatically from Hugging Face. A Python API, a CLI, and a bundled web UI with a live piano roll all ship in the repo.
14:00 Drop in a track and read the notes. Project number 20, LLM Space Local First Desktop Workbench for agent builders. LLM Space is an open-source desktop app for agent builders, bringing prototyping, tracing, debugging, and evaluation into one place. You write inversion prompts, system messages, tools, and model settings. Then watch every model call and tool run inside the agent loop as it happens.
14:26 When something breaks, you replay a run from history and step through it to find the cause and measure how the agent performs across runs. Threads leave as files on your machine and your API keys stay local. Built with TypeScript, Electrobun, React, and PI agent Core. Download it and debug your agent. Thanks for watching. See you in the next update.