learn-workbuddy
Rebuild a WorkBuddy-style desktop AI assistant harness from scratch: a 24-chapter Python tutorial covering the agent loop, tool calling, memory systems, sidecar processes, sandbox auditing, and DeepSeek/OpenAI evaluation traces.
Rebuild a WorkBuddy-style desktop AI assistant harness from scratch: a 24-chapter Python tutorial covering the agent loop, tool calling, memory systems, sidecar processes, sandbox auditing, and DeepSeek/OpenAI evaluation traces.
This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane.
Free & open-source AI research-paper writer: 19 agents draft 20k-word academic papers in ~10 min with citations verified against CrossRef/OpenAlex/Semantic Scholar. Export PDF/Word/LaTeX. Hosted at openpaper.dev
Portable AI-agent skill: capture YouTube transcripts as Obsidian-ready Markdown with metadata, linked timestamps, language selection, and subtitle exports
Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.
Turn your workday into structured workflows agents can execute. 100% local, served over MCP.
Deep Research Agent CognitiveKernel-Pro from Tencent AI Lab. Paper: https://arxiv.org/pdf/2508.00414
Paper-Agent is an intelligent paper search and research tool for researchers and students. Built on a multi-agent (LangGraph) architecture with NLP and automated search, it helps users efficiently find academic papers, analyze literature and conduct research, with multi-platform integration and keyword search. Suited to paper writing, academic research and research project management.
A complete roadmap to master LLMs from absolute beginners to advanced
LLaDA2.0 is the diffusion language model series developed by InclusionAI team, Ant Group.
What can we learn from Claude Code's source code?
worlds via code, from fable 5.1
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI
AI-native video editing built around real creative timelines, generative workflows, and local agent control.
Official DESIGN.md files published by companies themselves. First-party design systems that AI agents read to generate consistent UI.
Interactive brainstorming UI for OpenCode agents - multi-question forms, decisions, and real-time feedback
vs-punk: ADT to MCP bridge - Vibe code in ABAP / AMDP
OpenCode goal plugin for Codex-style goal mode, /goal slash commands, persistent objectives, and AI coding agent focus.
⚡️ A curated library of Agent Skills focused on Jetpack Compose performance.
OpenClaw Assistant – Home Assistant Add-on
A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
Support macros for building micro-ROS-based firmware.
Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.
Autonomous white-hat security auditor for AI-driven code review, bug bounty research, exploit construction, and execution-grounded verification.