Showing 569 open source projects for "tiny-workflow"

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  • 1
    Moondream

    Moondream

    Tiny vision language model

    Moondream is a creative code project and visual experimentation repository that explores generative graphics, aesthetic patterns, and interactive art through code. The project typically showcases procedural visualizations, algorithmic designs, and artistic experiments that push the boundaries of what can be expressed with programming languages and rendering frameworks. While the exact nature can vary by commit or branch, Moondream’s work often blends geometry, color theory, and motion to...
    Downloads: 0 This Week
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  • 2
    Harness Engineering

    Harness Engineering

    Field guide, and agent context bundle for harness engineering

    ...Its agent guide routes each task to the smallest relevant set of materials instead of loading the entire corpus. The playbooks help teams improve one representative workflow, review repository readiness, and compare changes over time. The project emphasizes reliability, security, maintainability, compatibility, authority, and cumulative organizational learning. It is designed to help agents recover intent, operate real systems, verify results, and leave future runs better prepared.
    Downloads: 2 This Week
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  • 3
    Timbal

    Timbal

    Simple, performant, battle-tested framework for building reliable AI

    Timbal is an open-source Python framework for building reliable AI applications with a small, transparent architecture. It provides autonomous agents and explicit workflows through the same calling interface and event stream. Developers define behavior with familiar async functions, Pydantic validation, and composable tools instead of relying on hidden orchestration. The framework supports multiple model providers and can automatically fail over between configured models. Human approval...
    Downloads: 2 This Week
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  • 4
    SkillOpt

    SkillOpt

    Text-space optimizer that trains reusable natural-language skills

    SkillOpt is a Microsoft research project for improving frozen LLM agents by optimizing reusable natural-language skill documents. Instead of changing model weights, it treats a compact skill file as the trainable state of the agent. The system learns from agent rollouts, reflection, bounded edits, and validation gates to produce better instructions over time. Its output is a deployable best_skill.md artifact that can be reused across agent tasks. The project is focused on making agents more...
    Downloads: 2 This Week
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  • 5
    Mike

    Mike

    OSS AI Legal Platform

    Mike is a software project that appears to focus on automation or tooling, likely designed to streamline workflows related to development, deployment, or data processing. It may function as a command-line utility or lightweight framework that integrates with existing systems to improve efficiency. The project emphasizes simplicity and clarity, providing focused functionality without unnecessary overhead. Its design likely supports extensibility, allowing users to adapt it to specific use...
    Downloads: 2 This Week
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  • 6
    Phantom

    Phantom

    An AI co-worker with its own computer

    ...It may also incorporate mechanisms for handling external tools, APIs, or system-level operations, expanding its capabilities beyond simple reasoning tasks. The project is particularly suited for experimentation with agent autonomy and workflow abstraction. Overall, phantom represents a flexible foundation for building and testing autonomous AI systems.
    Downloads: 2 This Week
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  • 7
    MedgeClaw

    MedgeClaw

    Open-source AI research assistant for biomedicine

    ...MedgeClaw also supports reproducibility by generating structured reports and maintaining consistent environments through containerization. Its architecture combines conversational AI, automated pipelines, and scientific tooling into a unified workflow.
    Downloads: 2 This Week
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  • 8
    autoMate

    autoMate

    AI tool for automating desktop tasks via natural language input

    ...It combines large language models with computer vision techniques to interpret user intent and understand on-screen content, allowing it to interact with graphical interfaces similarly to a human user. autoMate follows an observe-decide-act workflow, where it analyzes the screen, plans actions, and executes them through simulated input such as mouse clicks and keyboard events. Unlike conventional RPA tools that require predefined workflows, autoMate dynamically adapts to tasks by making autonomous decisions based on the current interface state. autoMate emphasizes local execution, meaning all processing happens on the user’s machine to maintain privacy and data security.
    Downloads: 3 This Week
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  • 9
    Zero to Mastery Machine Learning

    Zero to Mastery Machine Learning

    All course materials for the Zero to Mastery Machine Learning

    ...The project provides a structured curriculum designed to teach machine learning and data science using Python through hands-on projects and interactive notebooks. The repository includes datasets, Jupyter notebooks, documentation, and example code that walk learners through the entire machine learning workflow from problem definition to model deployment. The course introduces essential tools such as NumPy, pandas, Matplotlib, and scikit-learn before moving on to deep learning with frameworks like TensorFlow and Keras. It also includes milestone projects that demonstrate how to build end-to-end machine learning systems using real datasets, including classification and regression tasks.
    Downloads: 3 This Week
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  • 10
    KIS Open API

    KIS Open API

    Korea Investment & Securities Open API Github

    The open-trading-api repository from Korea Investment & Securities provides sample code and developer resources for interacting with the KIS Developers Open Trading API, which enables programmatic access to financial market data and automated trading functionality. The project is designed primarily for Python developers and AI automation environments that want to build investment applications, algorithmic trading systems, or financial analytics tools using the brokerage’s infrastructure. It...
    Downloads: 3 This Week
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  • 11
    Amical

    Amical

    Open Source AI Dictation App

    Amical is an open source, AI-powered desktop dictation and note-taking application that enables users to dictate hands-free, transcribe meetings, and capture notes effortlessly with unmatched speed, accuracy, and privacy. It leverages both local and cloud-based AI models, letting users seamlessly switch between providers for the ideal balance of speed, precision, and control, and understands the context of each app in use to automatically format text in a tone and style appropriate to the...
    Downloads: 6 This Week
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  • 12
    AG-UI

    AG-UI

    The Agent-User Interaction Protocol

    ...This makes it easier for developers to build agent-powered apps that stream progress, request human input, update UI state, and coordinate complex workflows. The project is especially useful for teams building copilots, workflow assistants, multi-agent products, or custom AI interfaces. Overall, AG-UI provides a shared communication layer between autonomous systems and the interfaces where people actually use them.
    Downloads: 4 This Week
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  • 13
    E2B Desktop Sandbox

    E2B Desktop Sandbox

    E2B Desktop Sandbox for LLMs. E2B Sandbox

    ...The platform provides isolated virtual machines where applications can be executed safely without affecting the host system. Each sandbox runs independently and can be configured with custom dependencies or tools required by an AI agent or automation workflow. The system allows developers to programmatically create and control these virtual desktops through SDKs available in languages such as Python and JavaScript. Within a sandbox, developers can launch applications like browsers, editors, or other software that an AI agent may need to interact with. This approach is particularly useful for building AI agents capable of interacting with graphical environments or performing tasks such as browsing, testing software, or automating workflows.
    Downloads: 4 This Week
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  • 14
    DocETL

    DocETL

    A system for agentic LLM-powered data processing and ETL

    ...Instead of relying on single prompts or ad-hoc scripts, DocETL provides a declarative pipeline framework that breaks complex document analysis tasks into manageable operations that can be optimized and orchestrated automatically. Pipelines are typically defined using a low-code YAML interface, giving users full control over prompts and processing steps while still simplifying workflow creation.
    Downloads: 4 This Week
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  • 15
    Build with Claude

    Build with Claude

    A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins

    Build with Claude is an open-source plugin marketplace and discovery hub for the Claude Code ecosystem that centralizes hundreds of plugins, agents, commands, hooks, skills, and marketplaces to enhance developer workflows with autonomous AI functionality. It serves as a one-stop index where users can browse curated agent modules for tasks like blockchain development, code analysis, DevOps, documentation generation, and much more — all designed to be installed directly into Claude Code using...
    Downloads: 4 This Week
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  • 16
    Obot MCP Gateway

    Obot MCP Gateway

    Hosting, Registry, Gateway, and Chat Client

    Obot is an open-source platform built to help organizations adopt and operate Model Context Protocol (MCP) capabilities in a centralized, production-friendly way. It combines multiple MCP building blocks into one system, including hosting for MCP servers, a registry for discovery, a gateway layer to route access, and a standards-compliant chat client experience. The project is aimed at solving common enterprise rollout problems such as reliably hosting servers for internal and external...
    Downloads: 4 This Week
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  • 17
    Gemini CLI

    Gemini CLI

    Open source AI agent CLI tool to bring Gemini into your terminal

    Gemini CLI is an open‑source AI agent that brings the capabilities of Google’s Gemini 2.5 Pro large‑language model directly into your terminal, enabling tasks ranging from coding and debugging to content creation and research via natural‑language prompts, with support for multimodal outputs like image and video generation. Gemini CLI integrates with external tools and MCP servers, enabling media generation and enhanced workflow automation. It also includes a built-in Google Search tool to ground queries with relevant information. Users can authenticate with their Google accounts for free usage limits or configure API keys for higher capacity and access to specific models. The tool is designed to be easy to install and use, with extensive documentation and community support for troubleshooting and advanced workflows.
    Downloads: 14 This Week
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  • 18
    Template MCP Server

    Template MCP Server

    Template to quickly set up your own MCP server

    The template-mcp-server is a TypeScript-based template designed to expedite the setup of Model Context Protocol (MCP) servers. It provides a basic server configuration with options for both standard input/output and HTTP transport using FastMCP. The template includes a structured framework for defining MCP tools, resources, and prompts, along with TypeScript configuration and development scripts. ​
    Downloads: 0 This Week
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  • 19
    AI Commits

    AI Commits

    A CLI that writes your git commit messages for you with AI

    ...It works by running git diff to gather your staged code changes, sending that diff to an LLM (originally GPT-3, now configurable), and receiving back a concise, human-readable commit message. The tool is designed to integrate cleanly into a developer’s workflow so that generating a descriptive commit message becomes a single command rather than a chore. It supports configuration via environment variables or config files so you can set your API key, preferred model, message style, and more. There are also options to preview, edit, or regenerate the AI-proposed message before actually committing, giving developers control instead of blindly trusting the output. ...
    Downloads: 6 This Week
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  • 20
    Copperhead

    Copperhead

    Hardware as fast as software

    Copperhead is an AI product-development agent for designing, documenting, and validating real printed circuit boards from natural-language requirements. It works directly with existing KiCad repositories instead of generating isolated mockups or diagrams. A full creation workflow can turn a product brief into specifications, architecture, component selection, schematics, an initial PCB layout, Gerber files, firmware scaffolding, and a development plan. The agent can also modify existing designs through natural-language change requests. It reads and edits real KiCad schematic and PCB files while maintaining Markdown design documents as persistent project memory. ...
    Downloads: 2 This Week
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  • 21
    AI Copywriter

    AI Copywriter

    An AI copywriter that uses real copywriting skills + real marketing

    ...Before drafting, the skill asks about the ideal customer, product category, and real story behind the message. It evaluates audience emotion, simplifies the explanation, and challenges vague inputs instead of hiding them behind generic language. The workflow can generate headlines, subject lines, descriptions, interface microcopy, social posts, and strategic articles. It refuses to invent product facts or unsupported numbers and requests stronger evidence when a claim needs proof. Because the core artifact is a single SKILL.md file, it can run in Claude Code, ChatGPT, Manus, and other instruction-compatible agent systems.
    Downloads: 2 This Week
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  • 22
    agents-best-practices

    agents-best-practices

    Provider-neutral Agent Skill for Codex, Claude Code

    ...It is built around the principle that the model proposes actions, while the harness validates, authorizes, executes, records, and returns observations. The project applies to coding agents, research agents, support agents, operations agents, sales agents, finance agents, healthcare agents, education agents, and workflow automation agents. It helps users reason about tool permissions, runtime discipline, observability, evaluation, and safer execution boundaries. The skill can also generate MVP blueprints for agent systems without tying the design to a single model provider. It is useful for teams building AI agents that need reliable control layers instead of loose prompt-only behavior.
    Downloads: 2 This Week
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  • 23
    Context Hub

    Context Hub

    Makes coding agents get smarter with every task

    Context Hub is a curated documentation system built to help coding agents write more accurate code. It gives agents versioned, language-specific reference material instead of forcing them to rely on noisy web searches or stale model memory. The project includes a CLI called chub that agents can use to search for available docs, fetch specific API guidance, and request only the files they need. It also supports local annotations, allowing an agent to remember project-specific notes, pitfalls,...
    Downloads: 2 This Week
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  • 24
    Deep Research Web UI

    Deep Research Web UI

    AI-powered research assistant that performs iterative, deep research

    Deep Research Web UI is an AI-powered research assistant interface designed to automate complex, multi-step information gathering workflows through a combination of search engines, web scraping, and large language models. It operates as a front-end system for deep research agents that iteratively refine queries, retrieve information from multiple sources, and synthesize structured outputs into coherent reports. The platform emphasizes long-horizon reasoning, allowing users to explore topics...
    Downloads: 2 This Week
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  • 25
    Search with Lepton

    Search with Lepton

    Lightweight demo to build a conversational AI search engine quickly

    Search with Lepton is an open source demonstration project that shows how to build a conversational search engine using the Lepton AI framework. It combines traditional web search with large language models to provide natural language answers to user queries. It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. The implementation is intentionally minimal, containing fewer than 500 lines of code...
    Downloads: 2 This Week
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