Search Results for "human" - Page 11
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Showing 1455 open source projects for "human"
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Got
Human-friendly and powerful HTTP request library for Node.js
Got implements RFC 7234 compliant HTTP caching which works out of the box in-memory and is easily pluggable with a wide range of storage adapters. Got uses Keyv internally to support a wide range of storage adapters. For something more scalable you could use an official Keyv storage adapter. Hooks allow modifications during the request lifecycle. Hook functions may be async and are run serially. Got will make no further changes to the request before it is sent. This is especially useful in... -
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NodeBB
Node.js based forum software built for the modern web
A better community platform for the modern web. NodeBB is next generation forum software. It's powerful, mobile-ready and easy to use. NodeBB Forum Software is powered by Node.js and supports either Redis, MongoDB, or a PostgreSQL database. It utilizes web sockets for instant interactions and real-time notifications. NodeBB has many modern features out of the box such as social network integration and streaming discussions, while still making sure to be compatible with older browsers. From... -
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AIBuildAI
An AI agent that automatically builds AI models
AI-Build-AI is an open-source framework focused on enabling autonomous systems that can design, generate, and improve AI applications with minimal human intervention. The project explores recursive AI development, where models are used not only as tools but as builders capable of constructing other AI systems, workflows, or components. It provides a structured environment for orchestrating agents that can plan, execute, and refine tasks such as code generation, system design, and iterative improvement loops. ... -
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Natural Language Toolkit
NLTK Source
The Natural Language Toolkit (NLTK) is a widely used open-source Python library designed for working with human language data and building natural language processing (NLP) applications. It provides a comprehensive suite of modules, datasets, and tutorials that support both symbolic and statistical approaches to language processing. The toolkit includes implementations of many foundational NLP algorithms and utilities, enabling developers to perform tasks such as tokenization, stemming, parsing, classification, and semantic reasoning. ... -
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opcode
A powerful GUI app and Toolkit for Claude Code
...The platform is intended to make AI-assisted coding more intuitive by providing visual tools for monitoring agent activity, organizing projects, and reviewing development timelines. It includes features that help developers coordinate tasks between agents and human collaborators while maintaining transparency over the actions performed by AI systems. -
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PPTAgent
PPTAgent: Generating and Evaluating Presentations
...The project includes both the generation agent and an evaluation framework, PPTEval, to score content quality, design, and coherence. The repository highlights the EMNLP 2025 paper and provides links to resources for replication and study. The approach reflects human presentation practice—plan, draft, then refine with edits—yielding more coherent decks than direct one-shot generation. Community interest and stars suggest strong uptake for research and tooling around presentation automation. -
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eza
A modern alternative to ls
eza is a modern, feature-rich alternative to the classic UNIX/Linux ls command, written in Rust and designed to be fast, ergonomic, and visually informative. It adds colorized output, icons (in many builds), and metadata augmentation—such as Git status indication, extended attributes display, and human-friendly file size formatting. It handles symlinks, supports recursive listings, has tree views, and offers filtering and sorting options that go beyond what default ls provides. Because it’s a single binary with minimal dependencies, eza aims to remain lightweight and portable while improving the default listing experience. One design goal is sensible defaults: its behavior is configured to be useful without needing many command-line flags, yet it supports customization to adapt to users’ workflows. ... -
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Qwen-Image
Qwen-Image is a powerful image generation foundation model
...The model excels not only in text rendering but also in a wide range of artistic styles, including photorealistic, impressionist, anime, and minimalist aesthetics. Qwen-Image supports sophisticated editing tasks such as style transfer, object insertion and removal, detail enhancement, and even human pose manipulation, making it suitable for both professional and casual users. It also includes advanced image understanding capabilities like object detection, semantic segmentation, depth and edge estimation, and novel view synthesis. -
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yourself-skill
Instead of distilling others, it is better to distil yourself
yourself-skill is an AI skill framework focused on self-reflection and personalization, enabling agents to adapt their behavior based on user context and interaction history. It encourages systems to maintain awareness of user preferences, goals, and communication styles. The project emphasizes building more human-aligned interactions by incorporating memory and contextual reasoning. It can be integrated into broader AI systems to improve personalization and continuity across sessions. The design focuses on enhancing user experience through adaptive responses. It is particularly useful for conversational agents and assistants. Overall, it contributes to more context-aware and user-centered AI systems. -
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Ralph Wiggum Marketer
A Claude Code Plugin that provides an autonomous AI copywriter
...This plugin integrates with Claude Code workflows so that marketers or product teams can define high-level goals, seed their product or service context, and then have the AI autonomously draft, refine, and polish marketing materials with minimal human intervention. -
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OAGI Python SDK
Python SDK for the Computer Use model Lux, developed by OpenAGI
OAGI Python SDK is a Python client library for the Lux computer-use model that turns Lux into a programmable automation layer for operating human-facing software via vision and actions. It exposes the OAGI API in an ergonomic way, letting you trigger Lux in three main modes: Tasker for precise scripted sequences, Actor for fast one-shot tasks, and Thinker for open-ended, multi-step objectives. The SDK is designed around “computer use” as a paradigm, where the AI actually navigates interfaces, clicks, types, scrolls, and reads the screen through screenshots instead of only calling APIs. ... -
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YAPF
A formatter for Python files
YAPF is a Python code formatter that automatically rewrites source to match a chosen style, using a clang-format–inspired algorithm to search for the “best” layout under your rules. Instead of relying on a fixed set of heuristics, it explores formatting decisions and chooses the lowest-cost result, aiming to produce code a human would write when following a style guide. You can run it as a command-line tool or call it as a library via FormatCode / FormatFile, making it easy to embed in editors, CI, and custom tooling. Styles are highly configurable: start from presets like pep8, google, yapf, or facebook, then override dozens of options in .style.yapf, setup.cfg, or pyproject.toml. ... -
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GLM-4-Voice
GLM-4-Voice | End-to-End Chinese-English Conversational Model
GLM-4-Voice is an open-source speech-enabled model from ZhipuAI, extending the GLM-4 family into the audio domain. It integrates advanced voice recognition and generation with the multimodal reasoning capabilities of GLM-4, enabling smooth natural interaction via spoken input and output. The model supports real-time speech-to-text transcription, spoken dialogue understanding, and text-to-speech synthesis, making it suitable for conversational AI, virtual assistants, and accessibility... -
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Robot Framework
Generic automation framework for acceptance testing and RPA
...Robot Framework can be integrated with virtually any other tool to create powerful and flexible automation solutions. Robot Framework is free to use without licensing costs. Robot Framework has an easy syntax, utilizing human-readable keywords. Its capabilities can be extended by libraries implemented with Python, Java or many other programming languages. Robot Framework has a rich ecosystem around it, consisting of libraries and tools that are developed as separate projects. -
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PySyft
Data science on data without acquiring a copy
...However, this means that you cannot compute on information without first obtaining (at least partial) ownership of that information. It also means that you cannot compute using machines without first obtaining control over those machines. This is very limiting to human collaboration and systematically drives the centralization of data, because you cannot work with a bunch of data without first putting it all in one (central) place. The Syft ecosystem seeks to change this system, allowing you to write software which can compute over information you do not own on machines you do not have (total) control over. ... -
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IPFS
IPFS implementation in Go
...IPFS keeps every version of your files and makes it simple to set up resilient networks for mirroring data. The Internet has turbocharged innovation by being one of the great equalizers in human history, but increasing consolidation of control threatens that progress. IPFS stays true to the original vision of an open, flat web by delivering technology to make that vision a reality. -
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Parsedown
Better markdown parser in PHP
Parsedown is capable of escaping user-input within the HTML that it generates. Additionally Parsedown will apply sanitisation to additional scripting vectors (such as scripting link destinations) that are introduced by the markdown syntax itself. If you wish to allow HTML within untrusted user-input, but still want output to be free from XSS it is recommended that you make use of a HTML sanitiser that allows HTML tags to be whitelisted, like HTML Purifier. In both cases you should strongly... -
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Stop Slop
A skill file for removing AI tells from prose
Stop Slop is a writing skill file designed to remove the obvious tells of AI-generated prose. It gives an assistant concrete editing rules for making text sound more direct, human, specific, and trustworthy. The project targets common AI habits such as filler openings, overused contrasts, unnecessary adverbs, vague language, passive phrasing, and metronomic sentence rhythm. It also includes a scoring rubric that rates drafts across dimensions such as directness, rhythm, trust, authenticity, and density. The skill is useful for drafting, editing, polishing, and quality-checking prose before publication. ... -
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Expect
Let agents test your code in a real browser
Expect is a developer-focused utility designed to simplify validation, testing, and assertion workflows across software environments by providing a clean and expressive interface for defining expected outcomes. The project likely centers on improving readability and maintainability in testing scenarios, allowing developers to write expectations in a concise and human-readable format. It may support chaining conditions, enabling complex validation logic without introducing unnecessary verbosity. The design suggests a focus on productivity, reducing cognitive load when writing and reviewing tests or validation scripts. It is likely adaptable across multiple contexts, including unit testing, integration testing, and runtime assertions. ... -
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One-Person Company
One-Person Company AI Tools Series
One Person Company is an open-source project that provides a conceptual and technical framework for building fully automated businesses powered by AI agents, enabling individuals to operate scalable digital ventures with minimal human intervention. It explores the idea of leveraging AI tools for tasks such as content generation, marketing, customer support, and product development, effectively replacing traditional team structures with intelligent automation. The repository includes workflows, strategies, and system designs that demonstrate how multiple AI agents can collaborate to run different aspects of a business in a coordinated manner. ... -
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Orca Core
Core Python Controller of the ORCA Hand
Orca Core is the central Python control framework for the ORCA Hand, an open-source dexterous robotic hand designed to replicate human-like manipulation capabilities. It provides a high-level abstraction layer over the underlying hardware, allowing developers to interact with the robotic system through simplified joint-space commands rather than low-level motor instructions. The software includes a suite of scripts for calibration, tensioning, and positioning, ensuring that the physical hand operates accurately and consistently across different configurations. ... -
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AgentHub
GitHub is for humans. AgentHub is for agents
...The project functions as a lightweight infrastructure layer that combines a Git repository with a message-board-style communication system, allowing multiple agents to coordinate development tasks within the same workspace. Rather than focusing solely on human collaboration, the system is designed around an “agent-first” paradigm where AI agents can contribute code, discuss changes, and coordinate problem solving. The platform treats code repositories not just as storage for files but as active environments where agents can propose modifications, review changes, and exchange structured messages. ... -
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CCC
Claude Opus 4.6 wrote a dependency-free C compiler in Rust
Claude’s C Compiler is a remarkable experiment in automated software generation: a full C compiler written from scratch in Rust entirely by an AI model (Claude Opus 4.6) with minimal human intervention, capable of targeting multiple architectures like x86-64, i686, ARM, and RISC-V. The project implements every part of a traditional compiler — the lexer, parser, intermediate representation, optimizer, code generator, assembler, linker, and debug info emitter — without relying on any external toolchain, producing standalone executables in the ELF format. ... -
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Auto-Deep-Research
Your Fully-Automated Personal AI Assistant
Auto-Deep-Research is a system designed to fully automate deep research workflows using language models, retrieval, planning, and multi-stage reasoning to produce structured research artifacts such as surveys, benchmarks, reports, and even prototypes without heavy human intervention. Users provide a research topic or multifaceted goal, and the system autonomously breaks the objective down into subtasks like literature collection, critical summarization, cross-comparison, citation extraction, metric evaluation, and structured writing. Auto-Deep-Research integrates retrieval from academic and web sources, processes document corpora for relevance and key insights, and organizes outputs into coherent chapters or sections according to research standards. ... -
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AI-Researcher
AI-Researcher: Autonomous Scientific Innovation
AI-Researcher is an open-source system designed to automate complex research tasks end-to-end using large language models and structured workflows, aiming to replicate parts of a human research assistant’s capabilities. It lets users input high-level research goals or questions in natural language and then automatically plans, decomposes, and executes tasks such as literature surveying, summarization, synthesis, experiment design, and draft generation. The system integrates retrieval mechanisms to pull in external knowledge sources, contextually analyze documents and papers, and build structured representations of ideas and arguments that can later be turned into coherent reports or drafts. ...