Wenlan

Overview

Wenlan is a knowledge base for AI agents. It captures what agents learn, keeps that information current, and distills it into wiki pages with source citations. It is written in Rust and maintained as a community project.

Best for

Best for
Teams running AI agents that need a current, cited knowledge base

Use cases

• Maintain a living knowledge base from AI agent outputs
• Generate source-cited wiki pages from agent learnings
• Track and update evolving information captured by agents

Notes

Wenlan is a knowledge base for AI agents. It captures what agents learn, keeps that information current, and distills it into wiki pages with source citations. It is written in Rust and maintained as a community project.

79 stars on GitHub. Last updated 2026-10-04. Licensed Apache-2.0.

Use cases

• Maintain a living knowledge base from AI agent outputs
• Generate source-cited wiki pages from agent learnings
• Track and update evolving information captured by agents

Pros

• Source citations support trust and verifiability
• Keeps knowledge current rather than static
• Lightweight Rust implementation

Cons

• Small community with only 79 stars
• Limited ecosystem and integration options
• Early-stage project with likely rough edges

Indexed from awesome-llmops and enriched against its public facts.