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How to use Kaas: what you can do with it

KaaS is a self-hosted tool that compiles notes, documents and transcripts into a searchable Markdown wiki using LLM phases, and serves it to chat and MCP clients without embeddings.

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What do you want to do?

4 use cases

  • Compile your notes into a searchable Markdown wiki

    Turn scattered notes, documents and transcripts into browsable Markdown articles you can query.

    View prompt
    Using the KaaS repo at bybit-exchange/kaas, set up the service and compile the files in <folder> into the wiki. Expected output: a list of Markdown articles under the data directory and one chat answer that cites at least one article. Verify that the cited article exists on disk.

  • Let Claude Code query your compiled wiki locally

    Add the kb-ai stdio MCP server so Claude Code can ask the wiki questions with cited answers.

    View prompt
    Using the KaaS repo at bybit-exchange/kaas, register the stdio MCP server for the knowledge base at <kb-dir> with Claude Code. Expected output: a Claude Code session where the ask tool returns a cited Markdown answer. Verify that the cited article path exists under <kb-dir>.

  • Share the wiki with remote agents over MCP

    Run KaaS with remote MCP enabled and a bearer token so other machines can query it.

    View prompt
    Using the KaaS repo at bybit-exchange/kaas, enable remote MCP on the server at <host> with a bearer token and connect one client. Expected output: a successful ask call from the remote client returning a cited answer. Verify that a request without the token is rejected.

  • Keep team knowledge when people change roles

    Compile each role's material into a wiki so the context survives staff turnover.

    View prompt
    Using the KaaS repo at bybit-exchange/kaas, compile the documents for the <role> seat from <folder> into a wiki. Expected output: Markdown articles for that role that answer the team's common questions. Verify that a sample answer cites an article containing the source facts.

Quick start with Kaas

  1. Check you have what it needs: An OpenAI-compatible LLM API key and endpoint (OpenAI, DeepSeek, Ollama, vLLM, Azure OpenAI, etc.); Docker, or a Linux amd64/arm64 or macOS arm64 machine for the CLI install; Your source files, notes, or URLs to compile.
  2. Open bybit-exchange/kaas on GitHub and read the README and license.
  3. Install KaaS with curl -fsSL https://raw.githubusercontent.com/bybit-exchange/kaas/main/install.sh | sh or use the Docker option from the Quick Start.
  4. Set LLM_API_KEY, LLM_BASE_URL and LLM_MODEL to your OpenAI-compatible endpoint.
  5. Start the service with kaas serve (CLI) or the Docker run command from the Quick Start.
  6. Open http://localhost:8080, submit your text, file or URL on the Submit page, and wait for the compile to finish.

These steps come from our top use case, Compile your notes into a searchable Markdown wiki, which also has a copy-paste agent prompt.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for bybit-exchange/kaas

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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Kaas alternatives · Best AI repos for Research

About this repo

  • Who it is forTeams and individuals with scattered notes or documents who want a queryable knowledge base, and developers whose coding agent should query that knowledge.
  • Why it is hot151 stars, launched 87 days ago
  • LanguagePython
  • Sourcegithub.com/bybit-exchange/kaas · Back to Hot repos

Requirements

  • An OpenAI-compatible LLM API key and endpoint (OpenAI, DeepSeek, Ollama, vLLM, Azure OpenAI, etc.)
  • Docker, or a Linux amd64/arm64 or macOS arm64 machine for the CLI install
  • Your source files, notes, or URLs to compile

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Questions about Kaas

What is Kaas?

KaaS is a self-hosted tool that compiles notes, documents and transcripts into a searchable Markdown wiki using LLM phases, and serves it to chat and MCP clients without embeddings. It is an open-source project on GitHub: https://github.com/bybit-exchange/kaas.

Who is Kaas for?

Teams and individuals with scattered notes or documents who want a queryable knowledge base, and developers whose coding agent should query that knowledge.

What can I do with Kaas?

4 use cases so far, for example: Compile your notes into a searchable Markdown wiki; Let Claude Code query your compiled wiki locally; Share the wiki with remote agents over MCP. Each has steps and a copy-paste agent prompt.

What do I need to run Kaas?

An OpenAI-compatible LLM API key and endpoint (OpenAI, DeepSeek, Ollama, vLLM, Azure OpenAI, etc.); Docker, or a Linux amd64/arm64 or macOS arm64 machine for the CLI install; Your source files, notes, or URLs to compile.

What are alternatives to Kaas?

Other hot AI repos in Research: Trustworthy Agent Simulation, By2 KB, Md2 HD, Loci, LT2 MD.

Is Kaas safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.