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DeusData/codebase-memory-mcp

A high-performance code intelligence MCP server written in pure C. Indexes repositories into a persistent knowledge graph supporting 158 languages via tree-sitter and Hybrid LSP type resolution for 11 languages. Provides sub-ms Cypher queries, call tracing, dead code detection, and cross-service HTTP linking. Ships as a single static binary with zero dependencies, compatible with 11 AI coding agents including Claude Code and Gemini CLI.

C
7.8k

Google Research's decoder-only pretrained time-series foundation model for zero-shot forecasting. 200M parameters, up to 16K context length, probabilistic quantile intervals, covariate support (XReg), and LoRA fine-tuning. Integrated with BigQuery ML, Google Sheets, and Vertex AI.

Python
23.9k

macOS video editor built for AI

Swift
1.6k
koala73/worldmonitor

Real-time global intelligence dashboard with 3D globe and WebGL map, aggregating 500+ news feeds and 65+ data sources across geopolitics, finance, energy, climate and military. Features AI-synthesized briefs, Country Instability Index scoring, cross-domain signal correlation, and 6 site variants (world/tech/finance/commodity/energy/happy) from a single codebase. Supports local Ollama AI, desktop app via Tauri 2, and 24 languages with RTL support.

TypeScript
57.0k

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

HTML
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A framework for building agent-native applications.

TypeScript
902

A local-first context compression layer for AI agents. Compresses tool outputs, logs, RAG chunks, files, and conversation history by 60–95% before sending to the LLM — with reversible retrieval via CCR. Works as a Python/TS library, zero-code proxy, MCP server, or one-command agent wrapper for Claude, Codex, Cursor, and more.

Python
37.4k
calesthio/OpenMontage

World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.

Python
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GLM-5: From Vibe Coding to Agentic Engineering

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Top Repositories

The most popular repositories on GitHub.

1

A comprehensive collection of step-by-step tutorials for rebuilding popular technologies from scratch. Covers databases, operating systems, programming languages, web servers, AI models, and more across multiple languages. Perfect for developers seeking to deeply understand core tech principles through hands-on implementation.

2

A curated list of awesome lists covering all kinds of interesting topics. This meta-list serves as the central directory for discovering high-quality resources on programming languages, frameworks, tools, and various technology domains.

3

The world's largest free coding education platform. Offers a self-paced full-stack web development and machine learning curriculum with interactive coding challenges, certifications across responsive web design, JavaScript, Python, databases, and APIs, plus developer language certifications. Built on React, Fastify, and Gatsby, with a vibrant open-source community that has helped over 100,000 people land their first developer job.

4

A collectively curated list of free public APIs for software and web development. This extensive repository contains thousands of APIs across 100+ categories including animals, finance, health, music, news, science, sports, weather, and more. Maintained by the community and APILayer team.

5

A collaborative, multilingual collection of freely available programming books, courses, podcasts, and interactive tutorials. Maintained by the Free Ebook Foundation, it indexes thousands of learning resources across numerous programming languages and computer science topics.

6

OpenClaw is a self-hosted personal AI assistant that connects to WhatsApp, Telegram, Discord, iMessage and 20+ channels. Features voice wake, live canvas, browser automation, and runs on any OS with local-first privacy.

7

Community-driven interactive roadmaps, guides, and resources for developers. Covers frontend, backend, DevOps, AI, and more with clickable nodes for detailed learning paths and best practices.

8

Learn how to design large-scale systems. Prep for the system design interview. An organized collection of resources covering scalability, performance, availability, and common system design patterns with solutions and Anki flashcards.

9

A comprehensive multi-month self-study plan for software engineering interviews at top tech companies. Covers data structures, algorithms, Big-O, graphs, dynamic programming, system design, and more, with curated video courses, book recommendations, coding practice platforms, and flashcard strategies.

10

A curated list of awesome Python frameworks, libraries, software and resources. Covers web frameworks, data analysis, machine learning, testing, and more.