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Search Tools

Search Tools
Search ToolsPerplexica: The Open-Source AI Search Engine Powered by Your Own LLMs
Perplexica is a transparent, open-source AI search engine. Run it locally with Ollama, use your preferred API keys, and receive cited answers from across the web without compromising your data privacy.
Search Tools
Search ToolsScira: The Minimalist AI Search Engine for Grok, Claude, and Beyond
Scira is a minimalist, open-source AI search engine that routes queries to models like Grok, Claude, and GPT to deliver cited, real-time answers.
Search Tools
Search ToolsDeep Search Lighting: Lightweight Web Search for LLMs
Deep Search Lighting provides LLMs with clean web search results without the bloat. It features free search engines, built-in reflection, and optimized support for small models with no framework lock-in.
AI Agent Tools
AI Agent ToolsEigent: Multi-Agent Workflow Desktop App with CAMEL and MCP
Eigent runs multi-agent workflows directly on your desktop. Built on the CAMEL framework with MCP tool support, local model compatibility, and human-in-the-loop functionality. 100% open source.
Automation Tools
Automation ToolsNeuralAgent: An Open-Source AI Agent for Native Desktop Automation
NeuralAgent automates keyboard, mouse, browser, and form-filling tasks using natural language. Compatible with Claude, GPT-4, Amazon Bedrock, and local models.
System Utilities
System UtilitiesCheckmate: Open-Source Server Monitoring with Uptime Alerts
Checkmate is a self-hosted monitoring tool for servers, websites, and Docker containers. Track uptime, CPU usage, memory, and page speed with alerts sent via Slack, Telegram, and email.
Multimodal Models
Multimodal ModelsBAGEL 7B MoT: The Open Multimodal Model Outperforming Qwen2.5-VL
BAGEL is a 7B active-parameter MoT model that surpasses Qwen2.5-VL in understanding benchmarks and matches SD3 in image generation. Learn how to run it locally with this setup guide.
AI Agent Frameworks
AI Agent FrameworksAgent-MCP: Building Multi-Agent Systems with the Model Context Protocol
Learn how to build and scale multi-agent systems using Agent-MCP. This step-by-step guide covers environment setup, token management, MCD documentation, and parallel agent workflows.
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