RTGS2017/NagaAgent
A simple yet powerful agent framework for personal assistants, designed to enable intelligent interaction, multi-agent collaboration, and seamless tool integration.
NagaAgent – A desktop‑centric AI assistant
What it is – NagaAgent is an open‑source, cross‑platform desktop application (Windows / macOS / Linux) that bundles a large‑language‑model chat interface with a rich set of “agentic” tools. It is built with a Python backend (FastAPI, Neo4j, LiteLLM) and an Electron/Vue front‑end, and it targets users who want a personal AI companion that can remember past conversations, call external tools, render a Live2D avatar, and even control the computer (launch apps, browse the web, play games).
Core capabilities (as described in the README)
| Area | What NagaAgent does |
|---|---|
| Chat & tool calling | Streamed LLM responses (any OpenAI‑compatible provider or Anthropic) with a custom “tool” JSON block syntax that the backend parses and executes. Supports up to 5 tool‑call loops per turn. |
| Memory (GRAG) | Extracts subject‑predicate‑object quintuple facts from dialogue, stores them locally and in a Neo4j graph, and automatically retrieves relevant facts for later turns (Graph‑RAG). |
| Live2D avatar | Shows a 2‑D animated character (Live2D Cubism) that reacts to mouse movement, speech, and tool events. Users can upload their own model directories. |
| Voice | Edge‑TTS for speech synthesis (streamed per sentence) and FunASR / Qwen‑Omni for speech‑to‑text, with lip‑sync driving the Live2D face. |
| MCP tool framework | A plug‑in system (Model Context Protocol) that ships agents for weather, system launcher, game guides, web search, web‑scraping, Playwright automation, vision, MQTT, document extraction, etc. New agents can be added without restarting. |
| OpenClaw integration | A local “agent server” that can run arbitrary Python/Playwright tasks, schedule them, and report results back to the chat. |
| Knowledge‑graph UI | 3‑D “memory cloud” visualisation of the Neo4j graph (nodes = entities, edges = predicates) with mouse‑drag rotation, zoom, and keyword filtering. |
| Community features | Built‑in forum (娜迦网络), points/affinity system, market for downloading community‑made Skills, and a “marketplace” for backgrounds, music, and character packs. |
| Floating ball mode | A lightweight always‑on‑top window that can be toggled between compact, full, and classic layouts for quick chat access. |
| Music player | Integrated BGM player with playlists, synchronized to TTS lip‑sync. |
Quick start (from the README)
- Clone & install
git clone https://github.com/Xxiii8322766509/NagaAgent.git cd NagaAgent # front‑end cd frontend && npm install && cd .. # back‑end (recommended) uv sync # or create a venv and pip install -r requirements.txt - Configure – copy
config.json.exampletoconfig.jsonand fill in an LLM API key (DeepSeek, OpenAI, Anthropic, Ollama, etc.). - Run – the front‑end script
npm run devlaunches the Electron window and starts the Python services automatically.
Typical use cases
- Personal AI companion – chat with a stylised avatar that remembers your preferences across sessions.
- Tool‑augmented workflow – ask the assistant to search the web, fetch a document, launch an app, or control IoT devices via the built‑in MCP agents.
- Game assistance – use the game_guide skill to get strategy tips, auto‑recognise game screens, or hook into external bots (e.g., MAA) for automated play.
- Knowledge management – let the system extract facts from conversations, store them in a Neo4j graph, and later query them as context for new chats.
- Voice‑first interaction – speak to the assistant and hear responses, with live lip‑sync on the avatar.
License
- Dual licensing: AGPL‑3.0 for the open‑source parts and a proprietary “closed‑source” license for commercial use (requires written permission). The repository includes both
LICENSE(AGPL) andLICENSE-CLOSED-SOURCEfiles.
Bottom line
NagaAgent is a full‑stack, desktop‑focused AI assistant that combines LLM chat, tool calling, graph‑based memory, Live2D avatar rendering, voice I/O, and a plug‑in ecosystem. It is a genuine software project aimed at users who want an extensible, visually rich AI companion rather than a simple tutorial or curated list.
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