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xming521/WeClone

🚀 One-stop solution for creating your AI twin from chat history 💡 Fine-tune LLMs with your chat logs to capture your unique style, then bind to a chatbot to bring your digital self to life. observed · 2026-08-28

github.com/xming521/WeClone · homepage · Python · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

80/100

  • Activity 98
  • Release rhythm 64
  • Longevity 67
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 14.5
  • age_days: 945
  • days_rel: 241
  • days_push: 15
  • n_releases_24m: 11

Full methodology

Adoption not part of the score

18171 stars · 1524 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

WeClone is an end-to-end Python framework for creating a personal AI digital twin by fine-tuning large language models on your exported chat history. It covers data export and preprocessing, privacy filtering, model fine-tuning, and deployment as a chatbot on platforms like Telegram.

Use cases

  • create an AI clone of myself from my chat logs
  • fine-tune an LLM on my WeChat or Telegram message history
  • build a chatbot that talks in my personal style
  • train a digital avatar with my catchphrases and expressions
  • run a personal AI twin locally for privacy
  • deploy a fine-tuned persona bot to Telegram

When to choose

  • you want a complete pipeline from chat data export to deployed persona chatbot
  • you need local fine-tuning and deployment with privacy filtering of personal data
  • you want to integrate your AI twin with Telegram or other chat platforms

When to avoid

  • you need a production-grade enterprise chatbot with guaranteed response quality
  • you cannot provide sufficient chat data volume for meaningful fine-tuning
  • you lack GPU resources for local model training and inference

Facets

framework · maturity active

llm-training llm-inference chatbot rag etl agent-framework large-language-models artificial-intelligence chatbots privacy python self-hosted cli digital-avatar digital-twin fine-tuning chat-history wechat qwen personalization natural-language-processing telegram discord

3 sources

Member repositories

RepositoryRoleHealth v2
xming521/WeClonemain80

For agents

markdown · JSON · MCP: product_card(name="xming521/WeClone")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem