Search Results for "keys"
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Showing 55 open source projects for "keys"
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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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Agent Development Kit (ADK)
Open-source, code-first Python toolkit for building, evaluating, etc.
ADK (Android Device Key) Python is a reference implementation by Google for working with Android attestation keys in Python. It facilitates the integration of Android attestation features into backends or systems that require verification of device identity and integrity. This is especially important in high-security applications where verifying that a device is genuine and uncompromised is critical. ADK Python helps developers verify hardware-backed keys, work with JSON Web Tokens (JWT), and integrate with Android’s Key Attestation infrastructure. -
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Terminal GPT
AI Chatbots in terminal without needing API keys
tgpt is a cross-platform command-line interface (CLI) tool that allows you to use AI chatbot in your Terminal without requiring API keys. -
3
OpenClaw-RL
Train any agents simply by 'talking'
...It also explores approaches such as online policy distillation and hindsight feedback signals to strengthen training signals from real interactions. The framework operates asynchronously and does not require external API keys, making it easier to experiment with local agent training workflows. -
4
The Pope Bot
Autonomous AI agent that you can configure and build
...The framework treats the repository itself as the agent’s “brain,” and GitHub Actions serve as the compute layer, enabling tasks to run securely without exposing sensitive API keys to the underlying AI. The system integrates with messaging platforms like Telegram, where users can interact with the bot, trigger actions, or receive notifications, and supports scheduling and automation through patterns of request handling. -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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5
supabase-py
Python Client for Supabase. Query Postgres from Flask, Django
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue. -
6
JMusicBot
A Discord music bot that's easy to set up and run yourself
A cross-platform Discord music bot with a clean interface, and that is easy to set up and run yourself! Easy to run (just make sure Java is installed, and run!) Fast loading of songs. No external keys are needed (besides a Discord Bot token) Smooth playback. Server-specific setup for the "DJ" role that can moderate the music. Clean and beautiful menus. Supports many sites, including Youtube, Soundcloud, and more. Supports many online radio/streams. Supports local files. Playlist support (both web/youtube and local) This bot (and the source code here) might not be easy to edit for inexperienced programmers. ... -
7
Forge Code
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek
...Rather than requiring a separate UI or web-based IDE, Forge respects the developer’s existing habits and setups, and keeps all operations local, ensuring your code doesn’t get sent to unknown external services — a strong point for privacy and security. It supports many model providers (e.g. GPT, Claude, Grok, and others) via API keys. -
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Nanobrowser
Open-Source Chrome extension for AI-powered web automation
...Nanobrowser, as a chrome extension, delivers premium web automation capabilities while keeping you in complete control. No subscription fees or hidden costs. Just install and use your own API keys, and you only pay what you use with your own API keys. Everything runs in your local browser. Your credentials stay with you, never shared with any cloud service. Connect to your preferred LLM providers with the freedom to choose different models for different agents. -
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OpenAI-API-dotnet
An unofficial C#/.NET SDK for accessing the OpenAI GPT-3 API
A simple C# .NET wrapper library to use with OpenAI's API. More context on my blog. This is my original unofficial wrapper library around the OpenAI API. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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LLM Guard
The Security Toolkit for LLM Interactions
...It includes scanning mechanisms that detect malicious prompts, prompt injection attempts, toxic content, and other harmful inputs that could compromise AI systems. The toolkit also helps prevent sensitive information leaks by identifying secrets such as API keys or credentials before they are processed by the model. LLM Guard supports both input and output filtering pipelines, allowing developers to sanitize prompts and validate generated responses in real time. The library integrates easily with existing AI frameworks and can be deployed in production environments to enhance the security posture of LLM-based applications. -
11
One API
The LLM API management & distribution system
...It includes features such as authentication, rate limiting, and usage tracking, making it suitable for production environments. One API also provides a web-based dashboard for managing keys, monitoring usage, and configuring routing rules. Its architecture is designed for scalability, allowing teams to deploy it as a centralized layer in their AI infrastructure. By abstracting the complexity of working with multiple APIs, it simplifies development and reduces vendor lock-in. -
12
BrowserOS
Agentic browser; privacy-first alternative to ChatGPT Atlas
BrowserOS is an open-source, agentic web browser built on a Chromium base that integrates AI agents directly into the browsing experience. Rather than just doing standard browsing, it places AI intelligence at the core: you can connect your own API keys (for e.g., OpenAI, Anthropic, Google Gemini) or run local models (via e.g., Ollama) so that your browsing data and automation stay on your machine — privacy and control are emphasized throughout. The interface remains familiar to users of Chrome (including support for Chrome extensions), but adds new capabilities: the browser can automate tasks for you, help you research by extracting and summarizing content, and enable agent-based workflows (e.g., “go fetch this info,” “fill this form,” “monitor this site”). ... -
13
Flexpilot IDE
Open-Source AI Native IDE
...Built as a fork of Visual Studio Code, the project provides a familiar development interface while integrating advanced AI capabilities directly into the coding workflow. The platform is designed to be privacy-focused and flexible, allowing developers to use their own API keys for different large language models rather than relying on a single proprietary AI provider. Flexpilot aims to provide a transparent and customizable AI coding environment where developers can experiment with AI-powered tools such as code generation, completion, and explanation features. Because it is open source, developers can modify the IDE, extend its capabilities, or integrate new AI models according to their workflow needs. ... -
14
Poetiq
Reproduction of Poetiq's record-breaking submission to the ARC-AGI-1
...Instead of relying on a single prompt or fixed strategy, their solver dynamically adapts the reasoning path, selecting what to ask or analyze next depending on intermediate results — effectively compositing reasoning, perception, and program synthesis (or symbolic manipulation) in a loop. The repository allows others to reproduce their results, experiment with different LLM backends (e.g. the user may supply keys for supported models), and observe how their adaptive meta-system handles the logic and abstraction challenges. -
15
claude-devtools
A desktop app that reconstructs exactly what Claude Code did
...It surfaces granular information such as file reads, edits, tool calls, token consumption, and subagent activity, enabling developers to understand exactly how the AI interacted with their codebase. Because it runs entirely locally and makes no network calls, it requires no API keys or configuration and works with any previously recorded sessions. -
16
Roo Code
Roo Code gives you a whole dev team of AI agents in your code editor
...Designed to work on your terms, Roo Code gives you full control locally while enabling delegation and parallel execution at scale. Its model-agnostic architecture ensures flexibility as AI models and providers evolve, letting you choose or bring your own keys. Role-specific agent modes keep AI focused, reliable, and aligned with real engineering workflows. Open source, secure, and highly configurable, Roo Code fits seamlessly into both individual and team-based development environments. -
17
CoPaw
Your Personal AI Assistant; easy to install, deploy on local or coud
...Built by the AgentScope team, it connects to multiple chat platforms—including DingTalk, Feishu, QQ, Discord, iMessage, and more—through a single unified assistant. CoPaw supports both cloud-based LLM providers and fully local models such as llama.cpp, MLX, and Ollama, allowing you to operate without API keys if preferred. It includes a browser-based Console for chatting, configuring models, managing memory, and extending capabilities with custom skills. With built-in cron scheduling, heartbeat check-ins, and extensible skill loading, CoPaw grows with your workflow over time. Easy installation options—including pip, one-line scripts, Docker, and cloud deployment—make it accessible for both developers and non-technical users. -
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All-in-One Model Context Protocol
All-in-one MCP server with AI search, RAG
The All-in-One Model Context Protocol Server is a comprehensive MCP server implementation integrating services like GitLab, Jira, Confluence, YouTube, and more. It provides AI-powered search capabilities and utility tools to enhance development workflows. -
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MCP DifyWorkflow Server
mcp-difyworkflow-server is an mcp server Tools application
The MCP-DifyWorkflow-Server is an MCP server application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows. It serves as a bridge between applications and the Dify platform, enabling seamless workflow management. -
20
Dive
Dive is an open-source MCP Host Desktop Application
Dive is an open‑source MCP host desktop application that serves as a bridge between MCP servers and any large language models supporting function calling, designed to deliver a seamless AI agent experience across environments. Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models. Enabling seamless MCP AI agent integration on both stdio and SSE mode. One-click access to managed MCP servers via OAPHub.ai - eliminates complex local deployments. Modern Tauri version alongside... -
21
Bifrost
The Fastest LLM Gateway with built in OTel observability
...It is built to be high performance: in benchmark tests at 5,000 requests per second, it reportedly adds only microseconds of overhead and achieves perfect success rates with no failed requests. Bifrost supports features such as automatic fallback (failover between providers), load balancing across API keys/providers, and semantic caching to reduce latency and cost. It also includes observability with built-in metrics, tracing, logging, and supports governance features like rate limiting, access control, and cost budgeting. The architecture is modular: there is a core engine, plugin layers, and transport layers (HTTP APIs). -
22
Taskmaster
An AI-powered task-management system
...It uses structured task formats and orchestration logic to coordinate how AI assistants plan and complete work. The system supports multiple model providers through configurable keys, allowing teams to choose their preferred AI backend. Its goal is to bring discipline and repeatability to agent-assisted coding by turning loosely defined prompts into organized execution plans. Overall, Claude Task Master functions as a productivity and orchestration layer for developers working with AI coding assistants. -
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Qwen Code
Qwen Code is a coding agent that lives in the digital world
...Qwen Code automates various development workflows, including handling pull requests and performing complex git rebases. It runs on Node.js (version 20 or higher) and can be installed globally via npm or from source. Users configure Qwen Code by setting API keys and endpoints, supporting both mainland China and international access. With Qwen Code, developers can explore codebases, refactor and optimize code, generate documentation, and automate repetitive tasks directly from the terminal. -
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Gemini CLI
Open source AI agent CLI tool to bring Gemini into your terminal
...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. -
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LLM Gateway
Route, manage, and analyze your LLM requests across multiple providers
LLM Gateway is an open-source middleware that consolidates interactions with multiple LLM providers—such as OpenAI, Anthropic, Google Vertex AI—behind a single, unified API compatible with OpenAI's spec. 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.
