Search Results for "tiny-workflow" - Page 16
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Showing 569 open source projects for "tiny-workflow"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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EASY LLM CLI
An open-source AI agent that is compatible with multiple LLM models
EASY LLM CLI is an open-source command-line AI agent compatible with multiple large language model providers. It is based on a fork of Gemini CLI and is designed to connect to local tools, understand code, and support developer workflows from the terminal. The project supports providers such as Gemini, OpenAI, and custom APIs that follow the OpenAI-compatible format. It is useful for developers who want a flexible AI assistant without being locked into one model vendor. The CLI can help with... -
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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... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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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. ... -
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StoryGen Atelier
AI-assisted storyboard and video generation tool
...Once individual frames are created, a second AI model generates transition clips that smoothly link the frames into a coherent short video sequence, and the tool then assembles everything into a finished video using standard video processing tools. This pipeline transforms abstract creative ideas into shareable visual narratives, offering a powerful workflow for writers, filmmakers, content creators, and educators alike. -
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Anthony Fu's Skills
Anthony Fu's curated collection of agent skills
Anthony Fu's Skills is an open-source collection of agent skills — modular instruction packages that teach AI coding assistants how to perform specific tasks automatically when relevant. These skills are typically simple, human-readable files that contain structured steps, rules, examples, and workflow logic, letting tools like Claude Code or Copilot CLI load and run them only when they apply to the user’s input. By offloading detailed task patterns into discrete skill modules, developers can greatly extend what coding agents can do without retraining the underlying language model itself. The project serves as a curated registry of utilities that save time, standardize best practices, and encode expertise across domains, while still being easy to customize or extend. ... -
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Koog
Koog is the official Kotlin framework for building AI agents
Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs. Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. ... -
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DSH Anchored Standard
Two-phase DeepSeek Harness preset
DSH Anchored Standard is a collection of experimental DeepSeek Harness presets designed to combine Minimal-style reasoning behavior with access to broader Standard tools. Its base mode begins a new session with only the real Minimal bash and text-editing tools while suppressing automatically injected context. After a durable tool call or assistant response, the preset promotes the session to a resident phase with discovery tools and restored Standard context. Additional modes experiment with... -
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Nano-Banana Creation ZHO
My collection of creative ways to play nano-banana
...Many examples demonstrate how reference images can control people, poses, expressions, products, environments, or styles. The repository also connects these experiments to open-source interfaces for window-based, canvas-based, and workflow-based creation. -
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img2obj
Codex plugin that turns attached object images into code-only
img2obj is a Codex plugin that reconstructs an object from a reference image as procedural Three.js code rather than extracting or downloading a mesh. It first checks whether the image is suitable, then creates an ObjectSculptSpec describing geometry, materials, hierarchy, pivots, sockets, and visual priorities. Reconstruction proceeds through blockout, form, look development, and interaction phases so details are added in a controlled order. The plugin supports hard-surface objects, organic... -
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ProtoMotions
ProtoMotions is a GPU-accelerated simulation and learning framework
...It provides modular environments and learning components for animation, robotics, and reinforcement learning research. Large motion datasets such as AMASS and BONES can be divided across multiple GPUs for scalable policy training. A built-in PyRoki workflow retargets human motion data to different robot bodies with a single command. Policies can be tested across Isaac Gym, Isaac Lab, Newton, Genesis, MuJoCo, and high-fidelity Isaac Sim environments. Its deployment pipeline exports ONNX policies with observation processing included, simplifying transfers from simulation to real Unitree G1 hardware. ... -
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Agent Stuff
These are commands I use with agents, mostly Claude
...The repository includes commands for planning discussions, code review, changelog updates, summarization, browser automation, GitHub work, tmux control, Sentry analysis, Apple Mail search, and Google Workspace access. Its Pi extensions add workflow tools such as session control, file browsing, long-running goals, notifications, enhanced edits, task lists, and prompt-mode switching. Many items are tuned for the author’s own environment, so users should expect to adjust paths and defaults. It is best treated as a practical personal agent toolkit and reference for building reusable AI coding workflows. -
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DeepSeek Engineer v2
A powerful coding assistant application
DeepSeek Engineer v2 is an AI-powered coding assistant built around DeepSeek models and an interactive terminal workflow. It lets developers discuss code, request analysis, and perform project work through natural language. Version 2.0 focuses on native function calling instead of rigid structured JSON responses. The assistant can read files, read multiple files, create files, create multiple files, and edit specific snippets when needed. It includes safeguards such as path validation, directory traversal protection, file size limits, and binary file exclusion. ... -
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Harness-1
Ultra Recipe for Training Long-Horizon Search Agents
Harness-1 is a 20B search agent trained with reinforcement learning inside a stateful retrieval harness. It is designed for long-horizon search tasks where the model must search, inspect documents, curate evidence, verify claims, and decide when enough evidence has been gathered. The harness externalizes search state, including candidate documents, evidence links, verification records, and budget-aware context. This lets the policy focus on higher-level decisions instead of trying to keep... -
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OpenMonoAgent
Terminal-native coding agent powered by local LLMs
...It pairs a .NET CLI with a local llama.cpp inference server so developers can use agentic coding workflows without cloud subscriptions or per-token billing. The project emphasizes privacy, local control, and ownership of the model, compute, and project data. It includes a terminal-native workflow, built-in tools, Docker sandboxing, and code intelligence features. The system can run on CPU or GPU and is designed to auto-configure itself when possible. OpenMonoAgent.ai is best suited for developers who want a local AI development stack with no API keys, no cloud dependency, and no telemetry. -
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MiniMind-O
A 0.1B Omni model trained from scratch
...The project is designed to make multimodal AI training more accessible by keeping the model size small enough for ordinary personal hardware. It includes both mini and full training data paths, allowing learners to run a complete workflow quickly or reproduce the released model setup more closely. The implementation emphasizes native PyTorch code instead of relying on high-level third-party abstractions. minimind-o is most useful for developers and researchers who want to understand how multimodal and speech-capable AI systems are built from the ground up. -
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ClawSweeper
ClawSweeper scans all issues and PRs
ClawSweeper is an AI-assisted maintenance bot that scans GitHub issues and pull requests to suggest which items may be safe to close. It is designed for open-source maintainers who accumulate stale discussions, outdated reports, duplicate requests, or abandoned contributions over time. The project runs across issues and PRs on a scheduled basis, reviewing each item and producing a reasoned recommendation instead of simply closing content automatically. Its goal is to reduce maintainer... -
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Flutter Agent Skills
Agent skills for Flutter, maintained by the Flutter team
Flutter Skills is an educational repository from the Flutter ecosystem that provides structured hands-on exercises, tutorials, and learning paths for improving Flutter and Dart development skills. The project focuses on practical learning through guided coding challenges, interactive examples, and real-world mobile application scenarios rather than purely theoretical documentation. It covers topics such as UI construction, state management, animations, asynchronous programming, architecture... -
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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...
