CopilotKit/open-research-ANA
🤖 An open-source, AI agent-native research canvas application that performs real-time search with HITL (Human in The Loop) capabilities, powered by CopilotKit, Tavily and LangGraph
What it solves
It simplifies complex research tasks by providing a research canvas application that integrates real-time web search with an interactive, agentic interface, allowing for human-in-the-loop collaboration.
How it works
The application uses LangGraph to power the agent logic, Tavily for real-time search capabilities, and CopilotKit to provide the agentic user interface and connectivity between the frontend and the agent.
Who it’s for
Researchers and users who need an interactive tool to conduct complex research tasks with the assistance of an AI agent.
Highlights
- Human-in-the-Loop capabilities for interactive research.
- Integration with Tavily for real-time web searching.
- Powered by LangGraph for agent orchestration.
- Agent Native Application (ANA) architecture.
Related
- Project
langchain-ai/agent-inboxA user interface for LangGraph agents that allows humans to review, edit, and respond to agent interrupts in a centralized inbox.
- Project
GiovanniPasq/agentic-rag-for-dummiesA tutorial‑style, open‑source Python project that shows how to build a modular, agent‑driven Retrieval‑Augmented Generation system with LangGraph, hierarchical chunking, conversation memory, query clarification, multi‑agent map‑reduce, self‑correction, and evaluation via RAGAS. Works with Ollama, OpenAI, Anthropic, Google Gemini, Qdrant vector store, and optional Langfuse observability.
- Project
NeuroAIHub/BrainPilotAn open-source, agentic research workspace for brain science that coordinates specialist AI agents to automate literature review, experiment design, and data analysis.
- Project
erthorpabar/pabar_agent_runtimeAn AI agent runtime framework that integrates chat, RAG, and agentic loops to enable professional automation tasks across desktop and mobile platforms.
- Project
langchain-ai/react-agentA LangGraph template for implementing a ReAct agent that iteratively reasons and executes tool-based actions to solve complex user queries.