Search results for "deep-research"
PraisonAI π¦ β Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, R
Your 24/7 personal assistant powered by Claude Code and OpenAI Codex. Multi-channel messaging, long-term memory, skills, task scheduling, session management, and more β all running locally.
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of ta
π₯ An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
TrustRAGοΌThe RAG Framework within Reliable input,Trusted output
MCP server for OpenAI's Deep Research APIs, Gemini Deep Research Agent, and Hugging Face's Open Deep Research
Hands-on workshop: Build a multi-agent AI system from scratch β Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video (coming soon)
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Deep research agent built with Neuron PHP AI framewokrk
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
A deterministic development harness for Claude Code β MCP workflow engine, enforcement hooks, YAML workflows, and multi-agent consensus (Claude + Codex + Gemini)
Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, spe
ZimaOS Blue - A Local-First Agent Runtime for Bold Builders. Out-of-the-Box, Open-Source, Universal, Vendor-Neutral
π§ Build an offline RAG chatbot to answer questions from PDFs, adapting responses based on user experience levels with a smooth chat interface.