Pi Web Agent

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Pi Web Agent delivers a browser-based interface that connects to major LLM providers, supports vector-based document retrieval, and enables custom plugin integration. Self-hostable with Docker and configurable via environment variables, it empowers developers and organizations to deploy privacy-focused AI chatbots and knowledge assistants quickly.
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May 01 2025
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Pi Web Agent

Pi Web Agent

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Pi Web Agent
Pi Web Agent delivers a browser-based interface that connects to major LLM providers, supports vector-based document retrieval, and enables custom plugin integration. Self-hostable with Docker and configurable via environment variables, it empowers developers and organizations to deploy privacy-focused AI chatbots and knowledge assistants quickly.
Added on:
Social & Email:
Platform:
May 01 2025
--
Featured

What is Pi Web Agent?

Pi Web Agent is a lightweight, extensible framework for building AI chat agents on the web. It leverages Python FastAPI on the backend and a React frontend to deliver interactive conversations powered by OpenAI, Cohere, or local LLMs. Users can upload documents or connect external databases for semantic search via vector stores. A plugin architecture allows custom tools, function calls, and third-party API integrations locally, it offers full source code access, role-based prompt templates, and configurable memory storage to create customized AI assistants.

Who will use Pi Web Agent?

  • Developers building AI chatbots
  • Data scientists creating knowledge assistants
  • Enterprises needing custom conversational interfaces
  • Educational institutions deploying tutoring bots
  • Hobbyists experimenting with LLMs

How to use the Pi Web Agent?

  • Step1: Clone the repository from GitHub.
  • Step2: Install backend and frontend dependencies via pip and npm.
  • Step3: Create a .env file with your LLM API keys and vector store settings.
  • Step4: Build and launch with Docker or run backend and frontend separately.
  • Step5: Access the web UI at http://localhost:3000 to start a chat session.
  • Step6: Upload documents or configure database connections for retrieval.
  • Step7: Develop and register custom plugins or tools in the plugins folder.

Platform

  • web
  • mac
  • windows
  • linux

Pi Web Agent's Core Features & Benefits

The Core Features

  • LLM integration with OpenAI, Cohere, and local models
  • Document and database semantic retrieval
  • Plugin architecture for custom tools and function calls
  • Role-based prompt templates and memory storage
  • Self-hostable via Docker or local installation
  • RESTful API endpoints for programmatic access

The Benefits

  • Open-source with full code transparency
  • Highly customizable and extensible
  • Privacy-focused self-hosting options
  • Rapid deployment with Docker
  • Unified web interface for chat and tool use

Pi Web Agent's Main Use Cases & Applications

  • Building a customer support chatbot with knowledge base search
  • Deploying an internal company assistant for HR and policy queries
  • Creating an educational tutor bot for students
  • Developing a developer helper for code troubleshooting
  • Implementing a personal productivity assistant with plugin tools

FAQs of Pi Web Agent

Pi Web Agent Company Information

Pi Web Agent Reviews

5/5
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Pi Web Agent's Main Competitors and alternatives?

  • Rasa
  • Botpress
  • LangChain
  • Microsoft Bot Framework
  • ChatGPT Plugins

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