Eidon is a self-hosted AI chat and agent platform packaged as a single Docker container, with web research, MCP, skills, browser use, image generation, and automations built in. LLMs power its chat, Grok-bot-like agents, and automations, and it works with local models via Ollama or LM Studio. It targets self-hosters who want these capabilities without stitching together an app plus sidecars and external tools.
Visit project ↗Eidon is a self-hosted AI platform where a team of agents works across your devices, built as an alternative to hosted agents like Grok bot, Muse, and OpenAI Dots. It uses local/self-hosted LLMs and ships as a single Docker install. It targets users who want agentic access to accounts, files, and browsing without handing data to third parties.
Eidon is a self-hosted AI platform where a team of agents works across your devices, built as an alternative to hosted agents like Grok bot, Muse, and OpenAI Dots. It uses local/self-hosted LLMs and ships as a single Docker install. It targets users who want agentic access to accounts, files, and browsing without handing data to third parties.
DeskPilot is an open source native desktop app for chatting with local LLMs through an agentic interface. It connects to Ollama, LM Studio, vLLM, or any OpenAI-compatible backend, and uses MCP with sandboxed tools to let models take actions locally. It targets users who want a full-featured, security-first desktop client without relying on cloud services.
DeskPilot is an open source native desktop app for chatting with local LLMs through an agentic interface. It connects to Ollama, LM Studio, vLLM, or any OpenAI-compatible backend, and uses MCP with sandboxed tools to let models take actions locally. It targets users who want a full-featured, security-first desktop client without relying on cloud services.
A developer open-sourced DevMind, a local LLM-powered coding assistant for Windows (.NET 10) that delegates to Claude via MCP and works with llama.cpp, LM Studio, or Ollama. The release includes a full guide to the author's daily-driver rig, covering models, launchers, search, and vector store.
A developer open-sourced DevMind, a local LLM-powered coding assistant for Windows (.NET 10) that delegates to Claude via MCP and works with llama.cpp, LM Studio, or Ollama. The release includes a full guide to the author's daily-driver rig, covering models, launchers, search, and vector store.
A developer details their migration from Ollama to LM Studio for running local LLMs on Windows, citing faster inference via llama.cpp, VRAM-fit badges, GUI parameter control, MCP integrations, and the ability to reuse existing Ollama models. The post reflects growing community interest in LM Studio's features for local AI workflows.
A developer details their migration from Ollama to LM Studio for running local LLMs on Windows, citing faster inference via llama.cpp, VRAM-fit badges, GUI parameter control, MCP integrations, and the ability to reuse existing Ollama models. The post reflects growing community interest in LM Studio's features for local AI workflows.
A developer released Moka, a free, MIT-licensed local sandbox for testing prompts and MCP servers visually. It runs via 'npx @mokalabs/sandbox' with zero config, auto-detects running Ollama instances, and includes an inspector exposing raw JSON-RPC traffic, tokens, and latency. Developers can test tool calls and streaming, compare models side by side, and export working LangGraph Python scripts directly.
A developer released Moka, a free, MIT-licensed local sandbox for testing prompts and MCP servers visually. It runs via 'npx @mokalabs/sandbox' with zero config, auto-detects running Ollama instances, and includes an inspector exposing raw JSON-RPC traffic, tokens, and latency. Developers can test tool calls and streaming, compare models side by side, and export working LangGraph Python scripts directly.