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WeKnora: Autonomous Reasoning

Name: WeKnora: Autonomous Reasoning
Author: Tencent

Turn documents into queryable knowledge with WeKnora, for founders. 17k+ GitHub stars

intermediate⏱ 1-2 days💵 Free + LLM API costs

20,474 stars2,941 forksGoHealth Score 8/10Updated 8/24/2026100% free · open source

What it is

Turns raw documents into a queryable knowledge base you can ask questions about.

What you can make with it

A self-maintaining wiki with information from your documents, that you can use to answer questions and automate workflows.

How it helps

WeKnora's autonomous reasoning agent helps you get insights from your documents without manually searching or coding, making it easier to make decisions and automate tasks.

Real use case example

"A founder with 100+ blog posts wants to automatically generate answers to common customer questions. She turns her blog into a queryable knowledge base using WeKnora, indexes her documents, and then asks a question like 'what are the benefits of using AI?' to generate a clear and informative answer."

If you're new

Beginners should try this skill when they have a collection of documents they want to turn into a useful knowledge base.

If you're senior

Senior developers will want to use this skill when they need a flexible and customizable way to integrate large language models into their workflows.

Common confusion cleared up

WeKnora requires technical expertise to set up and integrate into existing applications.

Best inside these AI tools

Claude DesktopCodex CLISelf-hosted

Pairs with

Claude APIStripe webhook

Why we list it on WorkflowStacks: This skill is in the marketplace because it provides a powerful and free open-source way to leverage large language models.

What it does

WeKnora turns raw documents into a queryable knowledge graph, enabling founders to extract insights and build autonomous reasoning agents from their documents

Install / run

go get github.com/Tencent/WeKnora/cmd/weknora

When to use it

•You have a large collection of documents and want to create a searchable knowledge base
•You need to build a custom question-answering system for your startup's specific domain
•You want to automate the process of extracting and maintaining knowledge from documents

Quick start

1Clone the WeKnora repository: git clone https://github.com/Tencent/WeKnora.git
2Build the WeKnora executable: go build -o weknora cmd/weknora/main.go
3Create a new WeKnora project: ./weknora init myproject
4Add documents to the project: ./weknora add-doc --path ./docs --format pdf
5Start the WeKnora server: ./weknora start

Ready-to-paste prompt

./weknora query --question 'What is the main topic of the document titled Introduction to AI?'

Heads up: WeKnora requires a specific version of Go (1.18 or later) to be installed, and the system must have the necessary dependencies, such as git and make, to build and run the tool

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