7 skills found
casibase / casibase⚡️AI Cloud OS: Open-source enterprise-level AI knowledge base and MCP (model-context-protocol)/A2A (agent-to-agent) management platform with admin UI, user management and Single-Sign-On⚡️, supports ChatGPT, Claude, Llama, Ollama, HuggingFace, etc., chat bot demo: https://ai.casibase.com, admin UI demo: https://ai-admin.casibase.com
heshengtao / comfyui_LLM_partyLLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces, such as o1,ollama, gemini, grok, qwen, GLM, deepseek, kimi,doubao. Adapted to local llms, vlm, gguf such as llama-3.3 Janus-Pro, Linkage graphRAG
jonigl / mcp-client-for-ollamaA text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.
alvinveroy / CodeCompassCodeCompass: AI-powered Vibe Coding with MCP. Connects Git repositories to AI assistants like Claude, using Ollama for privacy or OpenAI for cloud. Integrates with VSCode, Cursor, and more.
kirillsaidov / ollama-mcp-exampleOllama MCP example for dummies.
arjunprabhulal / mcp-llama3-clientA client for the MCP Flight Search service using Ollama and Llama 3.2 to provide a user-friendly flight search interface with Model Context Protocol tools
kuldeepsingh99 / google-a2aAbout Pure java implementation of Google A2A protocol. This project demonstrates how to build an A2A-compliant multi-agent system using Spring Boot, Ollama, and the Agent-to-Agent (A2A) protocol. The architecture is based on a Parent Agent that orchestrates multiple Child Agents (e.g., Order Agent, Seller Agent).
