Distilly

Distilly is an agent person-modeling layer that turns source materials into a reusable Person Profile for AI agents.

Distilly is the person-modeling layer for agents that turns source materials into a portable, source-grounded Person Profile built from observable experience, decision patterns, expression, and ways of working. It supports three character families: colleagues, relationships, and celebrities, using family-specific source collection strategies, analysis dimensions, and profile structures. Users can input data through Lark, DingTalk, Slack, Public X posts, WeChat chat history, PDF, images, screenshots, Lark JSON export, email .eml or .mbox, and markdown or direct paste. Each generated Person Profile is packaged as an Agent Skill and can be installed into supported local agent hosts. The tool also features delta file appending, conversation correction, version control, and a celebrity research pipeline.

Distilly at a glance

Best for: Founder, HR, Software engineer
Runs on: Web, API, CLI
Pricing: Free
Released: March 2026
Category: AI agent tool
Website: github.com/titanwings/distilly

Key features

Generate source-grounded Person Profiles for agents
Support colleague, relationship, and celebrity person families
Ingest Lark, DingTalk, Slack, WeChat, and file uploads
Package profiles as installable Agent Skills
Append delta files and auto-analyze updates
Apply conversation corrections to profile layers
Auto-archive profile versions and allow rollbacks
Run a six-dimension celebrity research pipeline

Use it for

Distill a departed colleague into a reusable work skill
Capture expression patterns and emotional triggers for personal relationships
Model public figures, creators, or fictional characters
Create custom AI agents that respond using a specific person's judgment and voice

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