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WeKnora: Autonomous Reasoning

Turn documents into queryable knowledge with WeKnora.
intermediate⏱ 1-2 days💵 Free + LLM API costs
21,182 stars3,054 forksGoGuide quality 8/10Updated 9/2/2026100% free · open source
What it is

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

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."

Best insideClaude DesktopCodex CLISelf-hosted
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
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
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/weknora && curl -fsSL https://workflowstacks.com/api/skills/weknora/claude-skill -o ~/.claude/skills/weknora/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How WeKnora: Autonomous Reasoning works
Codeflow
Free to inspect

WeKnora: Autonomous Reasoning is a very large Go project (~626k lines across 2724 code files, plus 30 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Other license, has a test suite.

Size
Very large codebase
~626k lines · 2724 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Go · Docker
Needs API keys (.env)
Go 65%Vue 19%TypeScript 11%Python 3%PLpgSQL 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    cmd/desktop/app.go
    Where the program starts running
  3. 3
    go.mod
    Dependencies and the commands it exposes
  4. 4
    .env.example
    The API keys and settings you must provide
  5. 5
    internal/datasource/README.md
    Inside internal/ — the main logic begins here
What's in each folder
internal/Core code — the actual logic1592 files
skills/Prompts, skills & agent definitions12 files
frontend/Frontend / UI596 files
cli/Command-line entry points308 files
client/Frontend / UI34 files
packages/Sub-packages / plugins24 files
cmd/Command-line entry points12 files
docs/Documentation109 files
READMEHas testsDocumentedCI checksDocker readyExamples includedOther licenseUpdated this month
Quick Actions
Details
Creator
Tencent
Language
Go
Category
support
Published
7/22/2025

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