Search Results for "tiny-workflow" - Page 15
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Showing 561 open source projects for "tiny-workflow"
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Archon
The knowledge and task management backbone for AI coding assistants
Archon is an open-source “command center” designed to enhance AI coding assistant workflows by giving developers a centralized environment for knowledge management, context engineering, and task coordination across AI agents. It acts as a backend (including an MCP server) that allows different AI coding tools and assistants to share the same structured context, knowledge base, and task lists, improving consistency, productivity, and collaboration across multi-agent interactions. Users can... -
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Stable Diffusion Web UI Extensions
Extension index for stable-diffusion-webui
...It aggregates metadata for hundreds of community plugins—image utilities, ControlNet tools, upscalers, prompt helpers, animation suites—so users can browse and add capabilities directly from the UI. The index maintains short descriptions, tags, and repository links, enabling quick filtering by purpose or workflow. It also standardizes submission format so extension authors can contribute entries that the Web UI can parse reliably. For end users, this turns the Web UI into a modular platform where new features appear without manual cloning or guesswork. The project effectively coordinates a thriving plugin ecosystem, keeping discovery and updates lightweight and centralized. -
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CutLER
Code release for Cut and Learn for Unsupervised Object Detection
CutLER is an approach for unsupervised object detection and instance segmentation that trains detectors without human-annotated labels, and the repo also includes VideoCutLER for unsupervised video instance segmentation. The method follows a “Cut-and-LEaRn” recipe: bootstrap object proposals, refine them iteratively, and train detection/segmentation heads to discover objects across diverse datasets. The codebase provides training and inference scripts, model configs, and references to... -
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Nanocoder
A beautiful local-first coding agent running in your terminal
...The tool is designed as a privacy-focused alternative to proprietary AI coding assistants, allowing users to run local models or connect to external APIs while keeping full control over their data and development workflow. Built with TypeScript and distributed as a CLI application, nanocoder enables developers to interact with AI agents that can read files, modify code, execute commands, and assist with debugging tasks. The platform supports multiple AI providers through OpenAI-compatible APIs and can also integrate with local model runtimes such as Ollama or LM Studio. ... -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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EasyVoice
Open source text-to-speech tool, supports extra-long text
easyVoice is an open-source text-to-speech platform aimed at turning long-form text and novels into high-quality audio, with a strong focus on usability and scalability. It provides a web interface where users can paste or upload large texts and generate speech and subtitles in a single workflow, even for works exceeding 100,000 characters. The system supports multi-role voice acting, letting users assign different neural voices to different characters or narrative roles and configure parameters such as rate, pitch, and volume per role. It offers streaming playback so audio starts almost immediately, even for very long inputs, and automatically generates subtitle files suitable for video production or translation workflows. ... -
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9arm-skills
Agent skills loaded by Claude Code
9arm-skills is a curated collection of agent skills organized for engineering, productivity, and personal AI workflows. Each skill lives in its own directory and includes a SKILL.md file with frontmatter plus any supporting scripts or reference files. The repository is designed to be installed into AI coding-agent environments so agents can follow reusable operating procedures. Its engineering skills focus on practical development behaviors such as debugging, scrutiny, review, and postmortem... -
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Local File Organizer
An AI-powered file management tool that ensures privacy
...Through AI-driven analysis, the software can detect themes, topics, and metadata in files, allowing it to organize information in ways that traditional rule-based file managers cannot achieve. The tool supports multiple sorting strategies that allow users to categorize files by content, date, or type depending on their workflow preferences. -
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Janus
Unified Multimodal Understanding and Generation Models
Janus is a sophisticated open-source project from DeepSeek AI that aims to unify both visual understanding and image generation in a single model architecture. Rather than having separate systems for “look and describe” and “prompt and generate”, Janus uses an autoregressive transformer framework with a decoupled visual encoder—allowing it to ingest images for comprehension and to produce images from text prompts with shared internal representations. The design tackles long-standing... -
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vim-ai
AI-powered code assistant for Vim. OpenAI and ChatGPT plugin for Vim
vim-ai is an AI-powered assistant plugin for Vim and Neovim that brings language-model features directly into the editor. It allows users to generate code or text, edit selections in place, and carry on interactive chat-style conversations without leaving the terminal editing environment. The plugin is built around OpenAI-compatible APIs, which means it can work not only with OpenAI itself but also with compatible proxies and alternative providers. Its command set covers text completion,... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Modelence
Modelence is an all-in-one TypeScript platform
Modelence is an all-in-one TypeScript platform aimed at helping teams ship production web apps with far less boilerplate than a typical full-stack setup. It positions itself as a Supabase-style experience tailored toward MongoDB-centric development, bundling common backend needs like authentication, database integration, and observability into a cohesive framework. The project is built to support modern application workflows where product teams want to move quickly without stitching together... -
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Inkeep
Create AI Agents in a No-Code Visual Builder or TypeScript SDK
Inkeep is an open-source framework for building and deploying AI agent workflows and interactive assistants that operate autonomously across applications, enterprise environments, and customer engagement use cases. It lets developers and non-technical users create, manage, and orchestrate multi-agent systems using both a no-code visual builder and a full TypeScript SDK, giving two ways to define agent behaviors that stay in sync with each other. Agents built with this framework can act as... -
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Google Workspace CLI
Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.
Google Workspace CLI (gws) is a command-line tool designed to interact with Google Workspace services such as Drive, Gmail, Calendar, Sheets, and more from a single interface. It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. It outputs structured... -
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ZGI
Open-source platform for building AI applications
ZGI is a source-available platform for building, publishing, and operating AI agents and executable workflows. It combines agent configuration, visual orchestration, retrieval, structured data, model routing, and reusable skills in one workspace. Workflows can include branches, loops, approvals, HTTP requests, database operations, code execution, and scheduled tasks. Agents can connect to approved knowledge, files, databases, and tools. Finished applications can be exposed through a WebApp,... -
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Hiring Agent
AI agent to evaluate and score resumes
Hiring Agent is an AI-powered resume evaluation pipeline for screening technical candidates. It reads a resume PDF and converts the content into Markdown-like text. It then uses a local or hosted language model to extract structured candidate information into sectioned JSON. The system can enrich that resume data with GitHub profile and repository signals when a profile is available. After the data is collected, it produces an explainable evaluation with category scores, supporting evidence,... -
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ZeroGPU Router
Cut inference costs without dumbing down your agent
...The router exposes tools for tasks such as summarization, classification, PII redaction, entity extraction, JSON extraction, follow-up generation, and short chat. It works through MCP for OpenClaw and through a CLI plus plugin workflow for Claude Code. Each routed call can report useful metadata such as the selected model, latency, and estimated savings. Its main value is letting agents reserve expensive frontier models for complex reasoning while offloading routine language tasks to cheaper specialized routes. -
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Agent Client Protocol (ACP)
A protocol for connecting any editor to any agent
Agent Client Protocol is an open protocol for standardizing communication between code editors and AI coding agents. It defines how an interactive editor can connect to an agent that reads, edits, and reasons about source code. The project is meant to reduce fragmentation between IDEs, terminal tools, and autonomous coding systems by creating a shared communication layer. Its goal is to let any compatible editor work with any compatible coding agent without every integration being... -
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Ditto
The simplest self-building coding agent
Ditto is a simple self-building coding agent that generates multi-file Flask applications from natural language descriptions. Users describe the app they want, and the system attempts to plan and create routes, templates, static assets, and supporting files. It uses an LLM loop with basic tools to automate part of the coding process. The project is intentionally lightweight and experimental, making it easier to understand than larger agentic coding platforms. Its modular structure separates... -
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Train LLM From Scratch
A straightforward method for training your LLM
Train LLM From Scratch is an educational PyTorch project that shows how to build and train a transformer-based language model from the ground up. It is based on the architecture described in Attention Is All You Need and is designed to make the training pipeline understandable rather than hidden behind a large framework. The repository walks through the process from downloading data to generating text with a trained model. It supports training smaller or larger models, including million- and... -
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Gpt-Agreement-Payment
End-to-end protocol replay toolkit for ChatGPT Plus/Team/Pro sub
Gpt-Agreement-Payment is a research-oriented automation toolkit focused on subscription payment flows, protocol replay behavior, and anti-fraud mechanism analysis. It documents and implements controlled workflows around account setup, payment routing, runtime state storage, and operational monitoring. The project includes both command-line and web UI modes, with Docker and manual deployment options. It stores runtime output and logs in a local SQLite-backed structure for review and... -
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DeepSeek V4
Description of the special control instructions for DeepSeek-V4
DeepSeek V4 is a documentation-focused repository that explains how to guide DeepSeek V4 roleplay behavior through special first-message instructions. Rather than providing a conventional application, it acts as a practical prompt-control reference for users who want to influence the model’s thinking-mode style during roleplay sessions. It describes three operating styles: default behavior, role immersion, and pure analysis. Role immersion encourages character-like internal framing, while... -
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Browserbase Skills
Claude Agent SDK with a web browsing tool
...The design emphasizes reliability and repeatability, reducing the complexity of handling dynamic web interfaces. It is particularly useful for building AI agents that perform tasks like scraping, testing, or workflow automation. Overall, it turns browser interaction into a modular and programmable skill system. -
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Claude Code Architecture Study
Research on Coding Agents
...It likely provides step-by-step examples, conceptual explanations, and practical implementations that guide users through creating their own agents. The framework emphasizes learning by doing, allowing users to experiment with agent behavior, prompt design, and workflow structuring. It also explores how agents interact with tools such as file systems, terminals, and APIs, giving a holistic view of real-world applications. The project is particularly valuable for developers transitioning from traditional programming to AI-assisted or autonomous development paradigms. -
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LabClaw
Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists)
LabClaw is an open-source AI experimentation and agent orchestration platform designed to help developers build, test, and iterate on complex autonomous workflows in a controlled and modular environment. It provides a framework for composing multiple tools, prompts, and execution steps into structured pipelines that can be reused and evaluated across different scenarios. The system emphasizes experimentation, allowing users to run multiple variations of agent workflows, compare outputs, and... -
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AgentGuide
AI Agent Development Guide, LangGraph in Action, Advanced RAG
AgentGuide is an open-source learning resource designed to provide a structured pathway for understanding and building AI agents. The project aggregates tutorials, research papers, frameworks, and practical resources related to agent development with large language models. Instead of presenting scattered resources, the repository organizes them into a systematic learning roadmap that guides learners from foundational concepts to advanced AI agent systems. The guide covers topics such as... -
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Karpathy
An agentic Machine Learning Engineer
karpathy is an experimental agentic machine learning engineer framework designed to automate many aspects of the ML development workflow. The project sets up a sandboxed environment where an AI agent can access datasets, run experiments, and generate machine learning artifacts through a web interface. Its startup script automatically prepares the environment by creating a sandbox directory, installing key ML libraries, and launching the agent interface. The system is tightly integrated with the Claude Scientific Skills ecosystem, enabling the agent to leverage specialized scientific and machine learning tools. ...
