Search Results for "columba source code" - Page 84

Showing 17187 open source projects for "columba source code"

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  • 1
    Harmonist

    Harmonist

    Portable AI agent orchestration with mechanical protocol enforcement

    Harmonist is a portable multi-agent orchestration framework for AI coding assistants such as Cursor, Claude Code, Copilot, Windsurf, and Aider. It is designed to make agent workflows more reliable by enforcing protocol rules mechanically instead of trusting prompts alone. The framework includes a catalog of specialized agents, validated memory behavior, supply-chain checks, and hooks that gate code-changing turns. If required reviewers do not run, memory is not updated, or shipped files fail...
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  • 2
    Codex Autoresearch

    Codex Autoresearch

    A codex plugin for running optimization loops inside a codebase

    Codex Autoresearch is an autonomous software improvement framework that enables AI coding agents to iteratively enhance codebases without continuous human input. The system operates in a loop where the agent modifies code, evaluates results against measurable metrics, and either keeps or discards changes based on performance. It generalizes the concept of autoresearch beyond machine learning, allowing optimization of test coverage, latency, lint errors, and overall code quality. Developers...
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  • 3
    AnalysisAVP

    AnalysisAVP

    Encode decode, rgb yuv h264 aac flv mp4 rtmp

    AnalysisAVP is a comprehensive educational repository focused on audio and video technology concepts, providing structured knowledge across multimedia systems and processing pipelines. It covers foundational topics such as encoding, decoding, color formats like RGB and YUV, and widely used codecs including H.264 and AAC. The project also explores media container formats like MP4 and FLV, along with streaming protocols such as RTMP and WebRTC, offering a broad understanding of media...
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  • 4
    Wondel.ai Skills

    Wondel.ai Skills

    Agent skills for Claude Code and other agentskills-compatible agents

    Wondel.ai Skills is a repository that provides modular capability packages for AI agents, particularly those operating within Claude Code and similar ecosystems. Each skill represents a structured set of instructions, workflows, and tools that enable agents to perform specific tasks with expertise. These skills can cover a wide range of domains, including development, automation, and problem-solving, allowing agents to extend their capabilities dynamically. The system emphasizes modularity,...
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  • 5
    pg-aiguide

    pg-aiguide

    MCP server and Claude plugin for Postgres skills and documentation

    pg-aiguide is a tool designed to enhance AI-assisted development with PostgreSQL by providing structured knowledge and skills directly to coding agents. It acts as a bridge between database documentation and AI tools, enabling more accurate generation of SQL queries and database interactions. The system integrates with Claude Code through an MCP server, allowing agents to access curated PostgreSQL knowledge in real time. It focuses on improving developer productivity by reducing errors and...
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  • 6
    Harness

    Harness

    A meta-skill that designs domain-specific agent teams

    Harness is a meta-skill framework designed to automate the creation and orchestration of domain-specific AI agent teams within Claude Code environments. Instead of manually defining agents and their behaviors, it generates specialized agents, assigns them roles, and produces the skills they need to execute tasks effectively. The system focuses on scaling agent-based workflows by dynamically assembling teams tailored to specific problems. It enables structured collaboration between agents,...
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  • 7
    ex-skill

    ex-skill

    Distill your ex into an AI Skill

    ex-skill is an experimental AI tooling project that allows users to transform personal memories, particularly past relationships, into interactive AI “skills” that replicate the communication style, personality, and behavioral patterns of a specific individual. The system works by ingesting various forms of personal data such as chat logs, social media content, photos, and user-provided descriptions, then structuring this information into a layered representation that combines memory and...
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  • 8
    templUI

    templUI

    A growing collection of beautifully designed UI components for Go

    templUI is a modern UI component library built specifically for Go applications using the templ templating language, offering a developer-first approach to building interfaces with strong type safety and performance. It provides a growing collection of beautifully designed, production-ready components styled with Tailwind CSS, allowing developers to construct modern web interfaces without relying on heavy frontend frameworks. One of its defining principles is code ownership, meaning...
    Downloads: 0 This Week
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  • 9
    spartan

    spartan

    Cutting-edge tools powering Angular full-stack development

    spartan is a modern, experimental full-stack toolkit designed to enhance Angular development by combining a flexible UI component system with a broader application stack. It is structured as a monorepo that includes both a UI library and a full-stack solution, enabling developers to build complete applications with consistent tooling and design patterns. One of its defining characteristics is its inspiration from libraries like shadcn/ui, emphasizing ownership of code rather than heavy...
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  • 10
    Stlite

    Stlite

    n-browser Streamlit

    Stlite is a WebAssembly-powered framework that enables Streamlit applications to run entirely in the browser without requiring a Python backend server. It achieves this by using Pyodide, a WebAssembly-based Python runtime, to execute Python code directly within the browser environment. This allows developers to build interactive data applications using familiar Streamlit APIs while eliminating the need for server-side infrastructure. Stlite supports a wide range of Python libraries and...
    Downloads: 0 This Week
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  • 11
    min-sized-rust

    min-sized-rust

    How to minimize Rust binary size

    min-sized-rust is a practical, research-oriented repository that demonstrates how to aggressively reduce the size of compiled Rust binaries through a combination of compiler flags, linker optimizations, and code-level techniques. By default, Rust prioritizes performance, debuggability, and compile speed, which often results in relatively large binaries, especially in debug mode or when including standard libraries. This project systematically explores how to invert those priorities, focusing...
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  • 12
    CUDA Core Compute Libraries (CCCL)

    CUDA Core Compute Libraries (CCCL)

    CUDA Core Compute Libraries

    CCCL, or CUDA Core Compute Libraries, is a unified repository that consolidates several foundational CUDA C++ libraries into a single, cohesive development platform. It brings together Thrust, CUB, and libcudacxx, which collectively provide high-level abstractions, low-level performance primitives, and a CUDA-compatible standard library for GPU programming. The goal of CCCL is to simplify CUDA development by offering reusable building blocks that enable developers to write efficient and...
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  • 13
    dots.ocr

    dots.ocr

    Multilingual Document Layout Parsing in a Single Vision-Language Model

    dots.ocr is a cutting-edge multilingual document parsing system built on a unified vision-language model that combines layout detection, text recognition, and structural understanding into a single architecture. Unlike traditional OCR pipelines that rely on multiple specialized components, dots.ocr integrates these processes end-to-end, reducing error propagation and improving consistency across tasks. The model is designed to recognize virtually any human script, making it highly effective...
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  • 14
    Machine Learning Foundations

    Machine Learning Foundations

    Machine Learning Foundations: Linear Algebra, Calculus, Statistics

    Machine Learning Foundations repository contains the code, notebooks, and teaching materials used in Jon Krohn’s Machine Learning Foundations curriculum. The project focuses on explaining the fundamental mathematical and computational concepts that underpin modern machine learning and artificial intelligence systems. The materials cover essential topics such as linear algebra, calculus, statistics, and probability, which form the theoretical basis of many machine learning algorithms. The...
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  • 15
    Qualify

    Qualify

    Claude code to help you do lead research and qualification

    Qualify is a lightweight micro-CRM prototype and automation framework geared toward helping small teams and individual users manage leads, tasks, customer interactions, and simple sales pipelines without the overhead of traditional enterprise platforms. Rather than trying to replicate every feature of a full CRM suite, it focuses on core workflows like capturing leads, tracking stages, logging interactions, and generating reminders or alerts for follow-ups so that users spend more time...
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  • 16
    AI Researcher

    AI Researcher

    An autonomous AI researcher

    AI Researcher is an experimental open-source project that demonstrates how multiple AI agents can collaborate to conduct complex research tasks from start to finish with minimal human intervention. It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code.
    Downloads: 3 This Week
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  • 17
    SkillForge

    SkillForge

    Ultimate meta-skill for generating best-in-class Claude Code skills

    SkillForge is a systematic methodology and tooling framework for creating high-quality AI “skills” specifically optimized for Claude Code integrations, treating skill creation as an engineering discipline rather than an ad-hoc art form. It introduces a multi-phase architecture where every input or request is triaged intelligently, analyzed deeply through structured lenses, specified formally, synthesized with automated generation, and finally subjected to multi-agent review before...
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  • 18
    Agentic Coding Flywheel Setup

    Agentic Coding Flywheel Setup

    System tool for beginners wanting agentic engineering capabilities

    Agentic Coding Flywheel Setup (ACFS) is a comprehensive environment bootstrap project that configures a full stack of tools for autonomous AI-assisted coding workflows. With a single shell installer, ACFS transforms a fresh compute environment into a ready-to-use development setup that includes modern shells, language runtimes, AI coding agents (like Claude Code, Codex CLI, and Gemini CLI), and a coordinated toolchain for orchestration and safety. The system is designed for developers who...
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  • 19
    Planning with Files

    Planning with Files

    Claude Code skill implementing Manus-style persistent planning

    Planning With Files is a Claude Code skill — essentially a plugin for AI agent workflows — that adapts the “Manus-style” persistent markdown planning methodology into developer workflows, enabling structured project planning, progress tracking, and knowledge storage using plain text files. Inspired by high-profile agent workflows and context engineering patterns, it uses persistent markdown files (like task_plan.md, progress.md, and findings.md) as the “working memory” for AI agents,...
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  • 20
    1Code

    1Code

    Best UI for Claude Code

    1Code is a developer-centric platform that aims to unify project templates, starter kits, and common utility patterns into a cohesive, reusable ecosystem that accelerates software scaffolding and reduces repetitive setup work. Instead of manually bootstrapping similar projects from scratch, developers can choose from curated templates that include best practices for tooling, folder structure, configuration, and integrations for languages and frameworks spanning frontend, backend, and...
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  • 21
    agentation

    agentation

    The visual feedback tool for agents

    Agentation is a visual annotation and feedback tool designed to make interacting with AI coding agents more intuitive and precise by letting developers visually click on frontend elements in a browser and annotate them with context before sending structured feedback to an agent. Instead of describing UI elements in text — like “the blue button in the sidebar” — users click directly on elements to automatically capture selectors, positions, and contextual metadata that can be consumed by AI...
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  • 22
    IntelliJ Platform Plugin Template

    IntelliJ Platform Plugin Template

    Template repository for creating plugins for IntelliJ Platform

    The IntelliJ-Platform-Plugin-Template is a fully configured starter project that helps developers quickly create, build, and publish plugins for the JetBrains IntelliJ Platform, which includes IDEs like IntelliJ IDEA, PyCharm, WebStorm, and others. It sets up standard project structures, build scripts (usually with Gradle), sample plugin code, and example configurations so developers can focus immediately on the functionality they want to add rather than setup boilerplate. This template...
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  • 23
    FengNiao

    FengNiao

    A command line tool for cleaning unused resources in Xcode

    The FengNiao project is a lightweight command-line utility designed to help iOS/macOS developers clean up their Xcode projects by detecting and removing unused image resource files. As projects evolve, image assets often accumulate — many of which may no longer be referenced in code, storyboards, or asset catalogs; FengNiao scans the project directory (and subfolders) to identify those orphaned resources and optionally delete them, helping to reduce project bloat and potential app size. The tool is written in Swift, distributed under MIT license, and supports installation via Swift Package Manager or compilation from source.
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  • 24
    handson-ml

    handson-ml

    Teaching you the fundamentals of Machine Learning in python

    handson-ml hosts the notebooks for the first edition of the same hands-on ML book, reflecting the tooling and idioms of its time while teaching durable concepts. It walks through supervised and unsupervised learning with scikit-learn, then introduces deep learning using the earlier TensorFlow 1 graph-execution style. The examples underscore fundamentals like bias-variance trade-offs, regularization, and proper validation, grounding learners before they move to deep nets. Even though the deep...
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  • 25
    frame.js

    frame.js

    JavaScript Sequence Editor

    frame.js is a tiny utility for orchestrating frame-based animations with requestAnimationFrame while keeping code clean and predictable. It abstracts the boilerplate of setting up a render loop, tracking elapsed time, and updating callbacks at the right cadence. By providing a simple lifecycle—start, stop, tick—it encourages separation between state updates and rendering, which is essential for smooth visuals. The library aims to be unobtrusive: you can drop it into demos or prototypes...
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