Search Results for "daap-client"
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Showing 16 open source projects for "daap-client"
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Cherry Studio
Cherry Studio is a desktop client that supports for multiple LLMs
Cherry Studio is a cross-platform desktop client that integrates multiple large language model providers into a unified interface for creating and using AI assistants, supporting customization and multi-model conversations. Selection Assistant with smart content selection enhancement. Deep Research with advanced research capabilities. Memory System with global context awareness. -
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OpenACP
Self-hosted bridge that lets you interact with AI coding agents
OpenACP is a self-hosted bridge for controlling AI coding agents from messaging platforms. It connects agents such as Claude Code, Codex, Gemini, and Cursor to Telegram, Discord, and Slack through the Agent Client Protocol. The project lets users send a chat message, launch or continue an agent session, stream tool calls and results, and review code work in real time. It is useful for developers who want to manage coding agents from a phone, team chat, or remote environment without staying inside a terminal. OpenACP emphasizes user ownership, since the bridge runs on the user’s machine with the user’s keys and codebase. ... -
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Postiz
The ultimate social media scheduling tool, with a bunch of AI
...Streamlined content creation and scheduling for consistent personal brand growth. Expand brand reach and boost marketing impact with tailored post-scheduling. Easily manage multiple client accounts for increased productivity and better results. Schedule, analyze, and engage with your audience. Cross-post your social media posts into multiple channels. Improve your content creation process with an AI agent that performs all tasks for you. Use a Canva-like tool to create stunning visuals for your social media posts and generate pictures with AI. ... -
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Better Chatbot
Just a Better Chatbot. Powered by MCP Client & Workflows
Better‑chatbot is an AI chatbot framework powered by MCP protocols and workflows, allowing developers to deploy and integrate AI-powered chat systems with ease. Integrates all major LLMs: OpenAI, Anthropic, Google, xAI, Ollama, and more. MCP protocol, web search, JS/Python code execution, data visualization. Custom agents, visual workflows, artifact generation. Custom agents, visual workflows, artifact generation. Realtime voice chat with full MCP tool integration. -
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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5ire
5ire is a cross-platform desktop AI assistant, MCP client
5ire is a sleek, cross‑platform desktop AI assistant and MCP client that connects to major service providers, supports a local knowledge base and tool integration via MCP servers, enabling robust RAG and assistant features. These components are required as they constitute the runtime environment for the MCP Server. If you don't anticipate using the tools feature immediately, you may choose to skip this installation step and complete it later when the need arises. -
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Chatbox
The Ultimate AI Copilot on Your Desktop
Chatbox is a cross-platform desktop AI client designed to give you a fast, polished, and private way to work with modern language models. It runs locally on Windows, macOS, and Linux, keeping your conversations and data stored on your own device. Chatbox acts as a unified interface for popular LLMs like ChatGPT, Claude, Gemini, and local models via Ollama, making it easy to switch providers without changing tools. -
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Agentic Inbox
A self-hosted email client with an AI agent, running entirely on Cloud
Agentic Inbox is a self-hosted email client that integrates an AI agent directly into the inbox experience, enabling automated reading, organization, and drafting of emails. It runs entirely on Cloudflare Workers, using serverless infrastructure to manage incoming and outgoing messages without relying on external email services. Each mailbox is isolated with its own storage, ensuring data separation and security while maintaining performance. -
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Lux Desktop
Example client of oagi-python developed with Tauri
Lux Desktop is a cross-platform desktop application that showcases how to build a graphical client on top of the Lux computer-use model using the OAGI Python SDK as its backend. It is implemented with Tauri, combining a TypeScript/React front end with a Rust-powered shell to produce lightweight native executables for macOS and Windows. The project serves as a reference implementation for developers who want to see how Lux-powered agents can be packaged into a user-friendly app, including how to wire up commands, configuration, and UI flows around computer-use automation. ... -
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MCP Chat
Open Source Generic MCP Client for testing & evaluating mcp servers
mcp-chat is an open-source, generic command-line interface (CLI) client designed for testing and evaluating Model Context Protocol (MCP) servers and agents. It allows users to interact with various MCP servers, facilitating seamless communication with AI models. The tool supports both interactive and direct prompt modes, enhancing flexibility in user interactions. -
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Model Context Protocol (MCP)
Specification and documentation for the Model Context Protocol
Model Context Protocol is an open protocol that standardizes how LLM applications connect to external data sources, tools, and runtime context. It separates the concern of providing context from the model interaction itself, allowing AI applications to access resources through a common interface. The project includes the specification, documentation, SDKs, maintained servers, and community infrastructure around the protocol. MCP is useful for AI-powered IDEs, chat systems, agent platforms,... -
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CopilotKit
Build in-app AI chatbots, and AI-powered Text areas
A bridge between your copilot and your app. A programmable 2-way bridge between your copilot, and your application state (client & cloud). Supports 3rd party integrations (e.g. Salesforce, Zendesk, etc.). Plug-and-play, fully customizable, copilot infrastructure. Build in-app AI chatbots that can "see" the current app state + take action inside your app. The AI chatbot can talk to your app frontend & backend, and to 3rd party services (Salesforce, Dropbox, etc.) via plugins. -
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AgentDock
Build Anything with AI Agents
...The platform provides a backend-first architecture that allows developers to create sophisticated agent systems while maintaining flexibility in model providers and infrastructure choices. It consists of two main components: a core framework that handles agent logic and orchestration, and a reference client application that demonstrates how agents can be deployed and interacted with through a web interface. Built primarily with TypeScript and modern web technologies, the framework emphasizes extensibility and predictable behavior through configurable determinism. AgentDock also supports integration with multiple large language model providers, enabling developers to combine reasoning models, APIs, and external tools within a unified automation pipeline. -
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agentmemory
#1 Persistent memory for AI coding agents
agentmemory is a persistent memory server for AI coding agents that captures project context, past decisions, bugs, preferences, and implementation details so users do not have to re-explain the same information in every session. It works across tools such as Claude Code, Cursor, Gemini CLI, Codex CLI, OpenCode, Cline, and any client that supports MCP or REST APIs. The system automatically records what agents do, compresses that activity into searchable memory, and injects relevant context when a new coding session begins. It combines keyword search, vector search, confidence scoring, lifecycle management, and knowledge graph querying to retrieve useful memories without overloading the context window. ... -
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TUUI
A desktop MCP client designed as a tool unitary utility integration
Tuui is a desktop chat application built around the Model Context Protocol (MCP), designed as a unified tool to streamline AI interactions by orchestrating LLM APIs across various vendors, with many components generated or transformed through AI workflows. This repository is essentially an LLM chat desktop application based on MCP. It also represents a bold experiment in creating a complete project using AI. Many components within the project have been directly converted or generated from... -
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A2UI
A Protocol for Agent-Driven Interfaces
...The project introduces a declarative JSON format that allows agents to describe the structure, components, and behavior of a user interface, which is then rendered by the client using its own native components. This approach separates UI intent from UI implementation, making it possible for the same agent-generated interface to be rendered across different platforms such as web, mobile, and desktop applications. A key design principle of A2UI is security, as it avoids executing arbitrary code generated by models and instead restricts output to structured data that maps to a predefined catalog of trusted UI components. ... -
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SynquoRum
Multi-AI workspace with persistent cross-session memory via MCP
...SynquoRum inverts this: memory belongs to the workspace, not to any specific agent. Through an MCP (Model Context Protocol) server with 22 tools, the workspace exposes its memory to any MCP-compatible client — Claude.ai, Cursor, Cline, custom agents — so the same context follows you across providers and sessions. The product supports BYOK (Bring Your Own Key) across major providers, with no markup on API usage. Cross-provider memory uses pgvector with keyword fallback. The workspace ships with 664 prebuilt integrations and 32 languages. ...
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