Search Results for "tiny-workflow" - Page 30

Showing 2327 open source projects for "tiny-workflow"

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  • 1
    Knowledge Work Plugins

    Knowledge Work Plugins

    Open source repository of plugins intended for knowledge workers

    ...This makes the system easy to inspect, fork, customize, and adapt to an organization’s own process. Its goal is to help agents perform repeatable knowledge work with clearer expectations, domain constraints, and workflow patterns. The project is best suited for teams that want reusable AI work instructions without building a full application around them.
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  • 2
    MemClaw

    MemClaw

    Persistent memory for AI agent fleets (OSS)

    MemClaw is an open-source governed shared memory platform for AI agent fleets. It is designed to help agents remember information across sessions, teams, tools, and models instead of keeping knowledge trapped inside isolated conversations. The project emphasizes enterprise-style governance, including permissions, tenant isolation, audit trails, visibility scopes, and agent trust tiers. It also supports agent integrations through MCP and OpenClaw-style workflows, making it useful for...
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  • 3
    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,...
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  • 4
    TrustClaw

    TrustClaw

    A self-hostable personal AI agent with vector memory

    TrustClaw is a self-hostable personal AI agent that connects conversational access, persistent memory, and external tool use into one assistant workflow. It is built for users who want their own AI agent rather than a fully hosted platform, making it easier to run, inspect, and adapt the system for personal or technical needs. The project uses vector memory so the assistant can retain and retrieve useful context across interactions. It also integrates Composio tools, giving the agent access to third-party actions and services through a broader tool ecosystem. ...
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    Data Contract CLI

    Data Contract CLI

    Enforce Data Contracts

    Data Contract CLI is an open-source command-line tool and Python library for creating, validating, testing, importing, exporting, and enforcing data contracts. It uses YAML-based contract files to define the structure, meaning, quality rules, service levels, and connection details for a data product. The tool can connect to real data sources and check whether the actual dataset matches the schema, constraints, and quality expectations described in the contract. It supports both the Data...
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  • 6
    zero-native

    zero-native

    Build desktop + mobile apps with Zig and web UI

    zero-native is a Zig-based native app shell for building desktop and mobile applications with web user interfaces. It lets developers use modern frontend frameworks while keeping the native layer small, fast, and close to the operating system. The project supports lightweight system WebView rendering for smaller binaries, while also offering Chromium through CEF when predictable rendering is more important. Its Zig foundation enables fast native rebuilds and direct access to platform SDKs,...
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  • 7
    clip-js

    clip-js

    online video editor built with nextjs, remotion and ffmpeg

    ...The editor supports dynamic adjustments such as opacity, positioning, and layering to fine-tune compositions. It also incorporates keyboard shortcuts and responsive UI elements to improve workflow efficiency. Overall, it demonstrates how full-featured video editing can be achieved entirely within a web application.
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  • 8
    SEO GEO Content Engine

    SEO GEO Content Engine

    Professional SEO and GEO content workflows for brands, SaaS teams

    SEO GEO Content Engine is a comprehensive system designed to combine content generation, optimization, and analysis into a single AI-driven pipeline. It builds on tools like GEO Content Writer and SEO GEO Audit to create an end-to-end workflow for producing and refining search-optimized content. The system automates the process of identifying opportunities, generating content, and validating its effectiveness based on modern search criteria. It emphasizes alignment with both traditional SEO and AI-driven search systems, ensuring content remains competitive in evolving environments. ...
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  • 9
    TUI for LLMs

    TUI for LLMs

    TUI interface for LLMs written in Rust

    ...It allows users to communicate with LLMs directly from the terminal, making it particularly useful for developers who prefer CLI-based workflows. The tool supports integration with multiple providers, enabling users to switch between local models and remote APIs without changing their workflow significantly. It includes features such as prompt management, session handling, and configurable parameters to control model behavior during execution. Tenere emphasizes minimalism while still offering enough flexibility to support scripting, automation, and experimentation. Its lightweight design makes it easy to install and run without heavy dependencies. ...
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  • 10
    Ellama

    Ellama

    Ellama is a tool for interacting with large language models from Emacs

    Ellama is an Emacs integration that brings large language model capabilities directly into the Emacs editor environment, focusing on extensibility and deep workflow integration. It allows users to interact with local or remote models through a unified interface embedded within their editing sessions. The tool is designed to align with Emacs’ philosophy of customization, enabling users to define prompts, commands, and behaviors tailored to their workflows. It supports conversational interactions, code assistance, and text transformation tasks, making it useful for both programming and writing scenarios. ...
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  • 11
    Ollama JavaScript Library

    Ollama JavaScript Library

    Ollama JavaScript library

    ...Streaming responses are built in, returning an async generator so applications can render output progressively instead of waiting for a full response. It also supports cloud-hosted usage by pointing the client at Ollama’s cloud endpoint with an API key, while preserving a familiar local-first workflow for developers who want to move between local and remote execution.
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  • 12
    LaReview

    LaReview

    The code review workbench

    LaReview is a developer-first, local-first code review workbench designed to transform complex pull requests or diffs into structured, high-signal review workflows powered by AI assistance. Instead of overwhelming developers with raw diffs or automated comment spam, the tool analyzes code changes and generates an intent-driven review plan that groups changes into logical flows such as authentication, API behavior, or data handling, and prioritizes them based on risk. It operates as a desktop...
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  • 13
    Reshaped

    Reshaped

    Professionally crafted React & Figma components

    ...The project is structured into multiple packages, including styled components, headless components, and framework-agnostic utilities, allowing developers to choose the level of abstraction that best fits their workflow.
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  • 14
    Meraki UI

    Meraki UI

    Tailwind CSS components that support RTL languages

    Meraki UI is a free and open source collection of Tailwind CSS components designed to help developers quickly build responsive and visually appealing web interfaces with minimal effort. The library focuses on simplicity and accessibility by providing copy-and-paste HTML components that can be easily integrated into any project without requiring complex setup or framework dependencies. It includes a wide variety of UI elements and sections for websites and landing pages, all built using...
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  • 15
    Fancy Components

    Fancy Components

    Library of fancy, fun, animated react components

    Fancy is an open source library of animated React components and microinteractions created to make web interfaces feel more expressive, playful, and visually engaging. Instead of focusing only on utility-first static UI primitives, the project emphasizes motion, delight, and the small interaction details that can make an interface feel more premium and memorable. Its positioning suggests a growing collection rather than a fixed set of components, which makes it appealing for designers and...
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  • 16
    SEO Machine

    SEO Machine

    A specialized Claude Code workspace for creating long-form

    SEO Machine is an AI-powered content production system built as a structured workspace for generating long-form, SEO-optimized blog content through automated workflows. It integrates research, writing, analysis, and optimization into a single pipeline, allowing users to produce high-quality articles tailored to search engine performance. The system uses specialized commands and agents to perform tasks such as keyword research, competitor analysis, content drafting, and optimization. It...
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  • 17
    Rust Port

    Rust Port

    The Rust workspace under rust/ is the current systems-language port

    ...The project emphasizes agent-based execution, where tasks are broken down into steps and handled iteratively, simulating how modern AI coding tools operate in production environments. It is often used as a sandbox for exploring how large-scale coding agents behave, including their decision-making processes, tool usage, and workflow orchestration. The system likely includes abstractions for handling file systems, executing commands, and maintaining context across sessions, allowing for more persistent and intelligent coding interactions.
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  • 18
    Goose AEO

    Goose AEO

    AEO tracking toolkit (CLI + dashboard) built for AI agents like Claude

    Goose AEO is an AI agent orchestration framework focused on automating engineering operations and workflows through autonomous agents. It builds on the concept of local AI agents that can execute complex tasks such as writing code, debugging, managing pipelines, and interacting with APIs without continuous human supervision. The system is designed to be extensible and adaptable, allowing developers to integrate different language models and configure multi-agent workflows tailored to...
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  • 19
    HolyClaude

    HolyClaude

    AI coding workstation: Claude Code + web UI + 5 AI CLIs + headless

    HolyClaude is a developer-focused toolkit designed to enhance and extend the capabilities of Claude Code environments by providing structured prompts, utilities, and workflow enhancements for AI-assisted coding. The project centers around improving how developers interact with AI agents, enabling more efficient code generation, debugging, and task execution through optimized prompt engineering. It includes predefined templates and interaction patterns that guide the AI toward producing more accurate and context-aware responses. ...
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  • 20
    message-pusher

    message-pusher

    Build your own message push service, support multiple message push

    ...Its architecture emphasizes ease of deployment, allowing developers to run it locally or host it in lightweight environments such as containers. Message Pusher is particularly valuable for scenarios where timely communication is critical, such as DevOps monitoring, system health alerts, or workflow automation.
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  • 21
    Ultralytics

    Ultralytics

    Ultralytics YOLO

    ...It is designed to be fast, accurate, and easy to use, offering both command-line and Python-based interfaces for training, validation, and deployment of machine learning models. The framework supports a full end-to-end workflow, including dataset preparation, model training, evaluation, and export to various deployment formats. Its architecture emphasizes performance optimization, balancing speed and accuracy to support real-time applications across industries. Ultralytics also provides pretrained models and flexible configuration options, allowing users to adapt the system to different datasets and use cases with minimal effort.
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  • 22
    Sample GenLayer project

    Sample GenLayer project

    Includes the boilerplate code for a GenLayer use case implementation

    ...The project integrates both backend contract development written in Python and frontend components built with modern frameworks, enabling a seamless full-stack development workflow. It emphasizes best practices such as environment configuration, modular architecture, and comprehensive testing, helping developers avoid common pitfalls when building blockchain-based applications. The boilerplate also includes a testing framework that simulates realistic contract interactions, ensuring reliability and correctness before deployment.
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  • 23
    Codebuff

    Codebuff

    Generate code from the terminal!

    Codebuff is an open-source AI coding assistant that helps developers modify and improve their codebases using natural language instructions. Instead of relying on a single model, it orchestrates multiple specialized agents that collaborate to understand, plan, edit, and review code changes. This multi-agent approach enables more accurate edits, better context awareness, and fewer errors across complex projects. Codebuff operates primarily through a CLI, allowing developers to interact with...
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  • 24
    Superglue

    Superglue

    Builds integrations and tools from natural language

    Superglue is an AI-powered integration platform that enables developers to build production-grade tools and workflows using natural language, abstracting away the complexity of connecting APIs, databases, and external systems. It functions as a universal integration layer that allows users to define workflows in plain language, which are then translated into executable pipelines capable of interacting with multiple services. One of its defining features is its ability to handle...
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  • 25
    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...
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