muratcankoylan/readwren
An adaptive multi-agent system that extracts your literary DNA through conversation and generates actionable reading profiles.
Based on the README, here's a technical summary: --- **Leverages LangGraph's state machine with specialized multi-agent roles—an adaptive InterviewAgent (kimi-k2-thinking-turbo) that conducts 12-turn conversations with real-time analysis tools, and a ProfileGeneratorAgent (kimi-k2-thinking) that parses transcripts into structured 40+ datapoint profiles.** Sessions persist via custom Redis checkpointer with pickle serialization, enabling resumable interviews. Integrates Kimi K2's extended reasoning capability to extract and format model thinking for transparency and debugging. --- **Word count: 73 | Covers:** multi-agent architecture with specialized roles, LangGraph state machine approach, Redis persistence strategy, Kimi K2 integration, reasoning extraction feature
184 stars.
Stars
184
Forks
19
Language
Python
License
MIT
Category
Last pushed
Nov 09, 2025
Commits (30d)
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