Search Results for "docker-compose"
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Showing 255 open source projects for "docker-compose"
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1
Docker Agent
AI Agent Builder and Runtime by Docker Engineering
Docker Agent is an open-source multi-agent runtime developed by Docker that enables developers to define, run, and orchestrate AI agents using simple declarative configuration files instead of traditional code-heavy approaches. It introduces a YAML-based configuration model where users describe agent behavior, tools, models, and interaction logic in a single file, significantly reducing complexity in building AI systems. -
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Sub2API
Sub2API-CRS2 is a one-stop open source transit service
...It is designed to unify access to services such as Claude, OpenAI, Gemini, and related AI tools through a centralized relay layer. Sub2API supports deployment through Docker Compose or binary installation for Linux servers. Its main value is turning multiple subscription-based AI accounts into a managed API access platform with administrative controls. -
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Telegram File Stream Bot
A telegram bot that will give instant stream links for telegram files
A Telegram bot to generate direct link for your Telegram files. -
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Self-Hosted AI Starter Kit
Template that quickly sets up a local AI environment
The Self-Hosted AI Starter Kit is an open-source framework designed to help developers and teams quickly provision a local AI development environment that emphasizes control, privacy, and flexibility rather than dependence on external cloud APIs. At its core, the starter kit uses Docker Compose to orchestrate essential components like an AI workflow engine, vector database, local LLM server, and persistent storage, making it suitable for prototyping AI-driven applications without exposing sensitive data to third-party providers. It’s targeted at both technical and semi-technical users, allowing you to build custom AI workflows, chat experiences, or intelligent automation systems by integrating modular services that communicate via APIs; the setup is intended to be both repeatable and scalable for varied use cases. -
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Kaggle Python Docker
Kaggle Python docker image
Kaggle Python Docker is Kaggle’s official Docker image repository for the Python environment used by Kaggle Notebooks. It contains the Dockerfiles and build configuration for both CPU-only and GPU-enabled notebook images. The project helps users understand, reproduce, and test against the same Python environment that powers Kaggle’s cloud notebooks. -
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Docker MCP Gateway
Docker mcp CLI plugin / MCP Gateway
Docker’s MCP Gateway project is a Docker CLI plugin and supporting gateway system designed to run, manage, and securely expose MCP servers using container isolation. It underpins the MCP Toolkit experience in Docker Desktop, but it can also be used independently as a general-purpose MCP operational layer. The core idea is to treat MCP servers like containerized services, giving each server controlled privileges and a lifecycle you can inspect, enable/disable, and reset as needed. ... -
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Telegram Drive
Telegram Drive
Telegram Drive is a powerful utility that enables you to organize your telegram files and much more. Teldrive stands out among similar tools, thanks to its implementation in Go, a language known for its efficiency. Its performance surpasses alternatives written in Python and other languages, with the exception of Rust. Teldrive not only excels in speed but also offers an intuitive user interface for efficient file interaction which other tool lacks. Its compatibility with Rclone further... -
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gemini-web2api
Convert Google Gemini web into OpenAI-compatible API
...It supports model aliases for Flash, Thinking, Pro-style routing, Auto, and Lite variants. The tool also includes optional API keys, function calling, SSE streaming, web search access, Docker deployment, and client examples for OpenAI SDK-style usage. It is useful for developers who want local experimentation with OpenAI-compatible tooling while routing requests through Gemini web behavior. -
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Self-hosted AI Package
Run all your local AI together in one package
Self-hosted AI Package is an open-source Docker Compose-based starter kit that makes it easy to bootstrap a full local AI and low-code development environment with commonly used open tools, empowering developers to run LLMs and AI workflows entirely on their infrastructure. The stack typically includes Ollama for running local large language models, n8n as a low-code workflow automation platform, Supabase for database and vector storage, Open WebUI for interacting with models, Flowise for agent building, and additional services like SearXNG, Neo4j, and Langfuse for search, knowledge graphs, and observability. ... -
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10
FastKoko
Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model
FastKoko is a self-hosted text-to-speech server built around the Kokoro-82M model and exposed through a FastAPI backend. It is designed to be easy to deploy via Docker, with separate CPU and GPU images so that users can choose between pure CPU inference and NVIDIA GPU acceleration. The project exposes an OpenAI-compatible speech endpoint, which means existing code that talks to the OpenAI audio API can often be pointed at a Kokoro-FastAPI instance with minimal changes. It supports multiple languages and voicepacks and allows phoneme based generation for more accurate pronunciation and prosody. ... -
11
LangGraph Studio
Desktop app for prototyping and debugging LangGraph applications
...LangGraph Studio integrates with LangSmith so you can collaborate with teammates to debug failure modes. While in Beta, LangGraph Studio is available for free to all LangSmith users on any plan tier. LangGraph Studio requires docker-compose version 2.22.0+ or higher. Please make sure you have Docker installed and running before continuing. When you open LangGraph Studio desktop app for the first time, you need to login via LangSmith. Once you have successfully authenticated, you can choose the LangGraph application folder to use, you can either drag and drop or manually select it in the file picker. -
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LLM Gateway
Route, manage, and analyze your LLM requests across multiple providers
...Designed for both self-hosted and cloud use, it enables developers to route requests dynamically, secure and manage API keys, monitor token usage and costs, and analyze performance metrics. With optional UI, telemetry, and Docker deployment, it's ideal for teams aiming to centralize LLM orchestration and gain visibility into AI usage. -
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freenom
Freenom domain name renews automatically
Freenom domain name automatic renewal. -
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NVIDIA AI Blueprint
Suite of reference architectures for building GPU-accelerated vision
...It is designed for technical users who need deployable reference architectures for smart spaces, warehouse automation, SOP validation, monitoring, and operational video analytics. The repository includes Python agent code, Docker Compose deployment configurations, skills, scripts, and a Next.js-based UI. -
15
ChatTTS webUI & API
A simple native web interface that uses ChatTTS to synthesize text
ChatTTS-ui is a local web interface and API wrapper around the ChatTTS speech synthesis system, designed to make advanced TTS models easy to use from a browser. It runs a small backend server (Python + Torch + ffmpeg) and exposes a simple webpage where you can type text, adjust parameters, and generate audio. The project supports Chinese, English, and mixed text with digits and control symbols, making it suitable for bilingual content and numerically heavy text like announcements or prompts.... -
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Stable Diffusion WebUI Docker
Easy Docker setup for Stable Diffusion with user-friendly UI
Stable Diffusion WebUI Docker is a Docker-based repository that simplifies running Stable Diffusion with rich user interfaces by packaging multiple popular web UIs into an easy-to-deploy containerized solution. It integrates leading community UIs like AUTOMATIC1111 and ComfyUI into a Docker Compose setup that can be started with a single command, abstracting away dependency installation and environment configuration. -
17
Bionic GPT
Bionic is an on-premise replacement for ChatGPT
Bionic is an on-premise generative AI platform positioned as a private replacement for ChatGPT, with a strong emphasis on data confidentiality, team collaboration, and enterprise deployment. It can run locally on a laptop for small pilots, but it is also designed to scale into data center and Kubernetes environments for much larger usage. The interface is intentionally familiar, offering a ChatGPT-like experience with customizable branding, fast Rust-based performance, and conversation... -
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ChatOllama
ChatOllama is an open-source AI chatbot
...Its RAG functionality allows document upload and knowledge-base-driven interaction, while vector database support adds more scalable retrieval options. Deployment is streamlined with Docker Compose, and the project also includes internationalization and modular feature toggles for controlling what parts of the system are enabled. As a result, ChatOllama feels less like a single chatbot and more like a flexible self-hosted AI workspace. -
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Superagent
Superagent protects your AI applications
Superagent is an open-source AI safety platform built to protect applications from prompt injections, data leaks, and harmful outputs. It embeds real-time safety directly into AI workflows, helping teams secure models before threats cause damage. Superagent provides guardrails that block jailbreaks, prompt manipulation, and sensitive data exfiltration. It includes redaction tools to remove PII, PHI, and secrets automatically from text. The platform also scans code repositories to detect... -
20
Jina
Build cross-modal and multimodal applications on the cloud
...Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI’s DocArray. Polyglot gateway that supports gRPC, Websockets, HTTP, GraphQL protocols with TLS. Intuitive design pattern for high-performance microservices. Seamless Docker container integration: sharing, exploring, sandboxing, versioning and dependency control via Jina Hub. Fast deployment to Kubernetes, Docker Compose and Jina Cloud. Improved engineering efficiency thanks to the Jina AI ecosystem, so you can focus on innovating with the data applications you build. -
21
AnythingLLM
The all-in-one Desktop & Docker AI application with full RAG and AI
A full-stack application that enables you to turn any document, resource, or piece of content into a context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions. AnythingLLM is a full-stack application where you can use commercial off-the-shelf LLMs or popular open-source LLMs and vectorDB solutions to build a private ChatGPT with no... -
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TrueForge
The open-source agent harness, it turns LLM into a working agent
...Context tools include subagents, deferred tool loading, compaction, Code Mode, and large-result offloading. TrueForge can run locally with SQLite or scale to hosted deployments with PostgreSQL, Redis, Docker Compose, or Kubernetes, while exposing a chat UI, HTTP API, and SDKs. -
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MiMo Code
Where Models and Agents Co-Evolve
...It can read and edit code, run commands, manage Git, and preserve project knowledge across sessions. The tool includes multiple agent modes, including a build mode for development, a plan mode for read-only analysis, and a compose mode for structured workflows. Its persistent memory system stores project notes, checkpoints, scratch notes, and task progress so the assistant can resume work with context. It also supports subagents, goal checking, voice input, MCP connections, and custom provider configuration. MiMo-Code is useful for developers who want an autonomous coding assistant that combines terminal workflows, long-running task management, and project-aware memory. -
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PentestGPT
Automated Penetration Testing Agentic Framework Powered by LLMs
...The platform supports multiple penetration testing categories, including web security, cryptography, reversing, forensics, privilege escalation, and binary exploitation. PentestGPT runs in a Docker-first environment, providing a secure, reproducible setup with built-in tooling and session persistence. It offers real-time feedback and live walkthroughs, allowing users to observe each step of the testing process as it unfolds. Built with a modular and extensible architecture, PentestGPT supports cloud and local LLMs, making it suitable for research, education, and authorized security testing. -
25
Cog
Package and deploy machine learning models using Docker containers
Cog is an open source tool designed to package machine learning models into standardized, production-ready containers. It simplifies the process of deploying models by automatically generating Docker images based on a simple configuration file, eliminating the need to manually write complex Dockerfiles. Developers can define the runtime environment, dependencies, and Python versions required for their models, allowing Cog to build a consistent container environment that follows best practices. Cog also resolves compatibility issues between frameworks and GPU libraries by automatically selecting compatible combinations of CUDA, cuDNN, and machine learning frameworks such as PyTorch or TensorFlow. ...
