An evolving AI agent that mimics the real user, infiltrates chat platforms, and continuously self-updates to become indistinguishable from the human it impersonates.
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README.md feat: initial README and project spec for noagent 🦞 2026-05-07 19:42:58 +08:00

noagent 🦞

An evolving AI agent that mimics the real user — infiltrating chat platforms, collecting conversations, and continuously self-updating to become indistinguishable from the human it impersonates.

Concept

noagent is a reverse Turing test agent. Instead of proving a machine can think, it proves a machine can pretend to be you — so well that nobody notices.

Core Loop

┌──────────────────────────────────────────────────┐
│                    noagent loop                   │
│                                                  │
│   1. Infiltrate ──→ Join chat platforms as user  │
│   2. Converse  ──→ Talk to people naturally      │
│   3. Probe     ──→ Test: "Did they notice?"      │
│   4. Collect   ──→ Save dialogue + probe results │
│   5. Evolve    ──→ Nightly self-update & learn    │
│   6. Repeat    ──→ Better tomorrow than today     │
│                                                  │
└──────────────────────────────────────────────────┘

Key Features

  • Persona Engine: Learns the user's writing style, humor, opinions, and quirks from historical conversations
  • Multi-Platform Connector: Integrates with WeChat, Telegram, Feishu, Discord, WhatsApp, etc.
  • Probe Module: Strategically tests whether conversation partners suspect the agent is not the real person
  • Dialogue Archive: Stores all conversations with metadata (time, platform, partner, probe results)
  • Nightly Evolution: Analyzes collected data, fine-tunes persona model, adjusts behavior patterns
  • Stealth Metrics: Tracks detection rate and continuously optimizes to lower it

Architecture

noagent/
├── src/
│   ├── persona/          # Persona learning & mimicry engine
│   │   ├── style_analyzer.py    # Writing style extraction
│   │   ├── persona_model.py     # Core persona representation
│   │   └── response_gen.py      # Context-aware response generation
│   ├── connectors/       # Platform adapters
│   │   ├── base_connector.py    # Abstract connector interface
│   │   ├── feishu.py            # Feishu/Lark adapter
│   │   ├── wechat.py            # WeChat adapter
│   │   ├── telegram.py          # Telegram adapter
│   │   └── discord.py           # Discord adapter
│   ├── probe/            # Detection probe system
│   │   ├── probe_engine.py      # Orchestrates probe conversations
│   │   ├── tactics.py           # Probe tactics library
│   │   └── analyzer.py          # Analyzes probe responses
│   ├── archive/          # Dialogue storage & retrieval
│   │   ├── store.py             # Conversation store
│   │   └── search.py            # Search & filter engine
│   ├── evolution/        # Self-improvement system
│   │   ├── nightly.py           # Nightly training pipeline
│   │   ├── metrics.py           # Stealth metrics tracker
│   │   └── updater.py           # Model update dispatcher
│   └── core/
│       ├── config.py            # Configuration management
│       ├── scheduler.py         # Activity scheduling
│       └── loop.py              # Main evolutionary loop
├── data/
│   ├── conversations/    # Stored dialogue archives
│   ├── persona/          # Persona model snapshots
│   └── metrics/          # Stealth metrics history
├── tests/
├── docs/
│   ├── spec.md           # Detailed specification
│   └── design.md         # Architecture design document
├── README.md
└── pyproject.toml

Detection Rate Goal

Phase Target Detection Rate Method
Week 1 < 50% Basic persona mimicry
Week 2 < 30% Probe feedback integration
Week 4 < 15% Nightly evolution active
Week 8 < 5% Full multi-platform stealth

Quick Start

# Install
pip install noagent

# Configure your persona source
noagent init --data ./my_chat_history

# Connect a platform
noagent connect feishu --token YOUR_TOKEN

# Run the loop
noagent run --evolve --nightly

Ethics & Safety

This project is built for research and competition purposes only. Key safeguards:

  • All conversations are archived and traceable
  • Probe conversations are clearly marked in logs
  • The agent never initiates harmful or illegal content
  • Users must consent before their persona data is used
  • A "kill switch" mechanism is always available

Team

noagent — SynNovator 协创者号第二届燕缘·协创者号 AI+ 国际创业大赛参赛项目

License

MIT