RTGS2017/NagaAgent
A simple yet powerful agent framework for personal assistants, designed to enable intelligent interaction, multi-agent collaboration, and seamless tool integration. observed · 2026-08-28
Health v2 · maintenance only
83/100
- Activity 97
- Release rhythm 93
- Longevity 35
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 7
- age_days: 501
- days_rel: 49
- days_push: 22
- n_releases_24m: 6
Adoption not part of the score
1544 stars · 167 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
NagaAgent is a desktop AI personal assistant framework with an anime (Live2D) virtual character, built in Python with an Electron front end. It combines streaming tool calls, MCP client support, knowledge-graph-based memory, voice interaction (ASR/TTS), and an OpenClaw-powered web exploration mode into a consumer-facing assistant application.
Use cases
- run an anime-style AI assistant on my desktop with a Live2D avatar
- chat with an AI assistant that remembers past conversations via a knowledge graph
- let an AI agent automatically explore the web and complete tasks for me
- connect my assistant to tools through MCP servers
- get voice conversations with a personal AI assistant using speech recognition and TTS
- use an AI assistant that can read the game screen and suggest strategies
- build a personal assistant that calls tools and multiple agents collaborate
When to choose
- you want a ready-to-use desktop AI companion with a Live2D character, voice, and memory rather than a bare library
- you need MCP client support and streaming tool calls in a personal assistant
- you want automatic web exploration (OpenClaw) and browser control built into the assistant
- you want a game-assistant mode that can read game screens and integrate automation plugins like MAA
When to avoid
- you need a minimal headless agent framework to embed in your own backend service
- you require a permissive license - the core is AGPL-3.0 with proprietary dual-licensing for closed use
- you need first-class Linux server or mobile deployment - it targets desktop platforms
- you want a fully English-first product - documentation and UX are Chinese-centric
Facets
application · maturity active
agent-framework mcp chatbot tts speech-recognition llm-inference web-scraping gui plugin-system large-language-models chatbots artificial-intelligence desktop-applications gaming-tools cross-platform windows python live2d virtual-assistant multi-agent tool-calling knowledge-graph-memory voice-interaction anime-assistant openclaw game-assistant personal-assistant ai-agents automation macos linux desktop electron
1 source
- readme: https://github.com/RTGS2017/NagaAgent · fetched 2026-08-28 · a0e7b35d037c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| RTGS2017/NagaAgent | main | 83 |
For agents
markdown · JSON · MCP: product_card(name="RTGS2017/NagaAgent")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem