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What you can do with Baize

Baize is an open-source coding agent CLI, written in Python, that talks to several LLM backends, redacts sensitive data before it reaches the model, and can drive SPSS and SQL databases through MCP servers.

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Xu123-Bob/Baize on GitHub

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What do you want to do?

4 use cases

  • Refactor code across a whole repo from one plain-language request

    Describe a code change in plain language and let Baize find and edit every matching file in the repository.

    View prompt
    Using the Baize CLI from the Xu123-Bob/Baize repo, run the instruction 'Find all places in <repo-path> that use requests and change them to httpx' inside <repo-path>. Expected output: a list of edited files. Verify that no file in <repo-path> still imports requests.

  • Analyze SPSS .sav data files by describing the analysis

    Point Baize at an SPSS data file and ask for summaries or statistics in plain language.

    View prompt
    Using the Baize CLI from the Xu123-Bob/Baize repo, ask it to open <path-to-sav-file> and produce a descriptive summary of its variables. Expected output: a variable list and summary statistics. Verify that the variable names in the output match the names shown in the file metadata.

  • Query a SQL database while redacting personal data before the LLM sees it

    Ask questions about a PostgreSQL, MySQL, SQL Server, Oracle, or Dameng database with privacy protection on.

    View prompt
    Using the Baize CLI from the Xu123-Bob/Baize repo with privacy protection on, ask it to count rows in <table-name> of <database-name> and summarize the result. Expected output: a row count and a short summary with no raw personal values. Verify that no phone number or email appears in the LLM-facing prompt log.

  • Run Baize on a local Ollama model so data never leaves your machine

    Use a local Ollama model as the backend for coding or analysis on sensitive material at zero API cost.

    View prompt
    Using the Baize CLI from the Xu123-Bob/Baize repo with active_provider set to ollama, ask it to summarize the files in <project-path>. Expected output: a summary generated by the local qwen2.5:7b model. Verify that Ollama is serving on localhost:11434 before the decree runs.

How to use Baize

  1. Check you have what it needs: Python 3.10 or newer with pip; An API key for DeepSeek or another supported backend, or a local Ollama install; Optional: IBM SPSS Statistics or a reachable SQL database, depending on the use case.
  2. Open Xu123-Bob/Baize on GitHub and read the README and license.
  3. pip install https://github.com/Xu123-Bob/Baize.git
  4. Open ~/.baize/config.toml, set active_provider to the backend you have a key for, and save your key in ~/.baize/.env. (inferred, check the README)
  5. Change into the repository you want to edit, then run baize. (inferred, check the README)
  6. At the >>> Decree: prompt, type: Find all places in this repository that use requests and change them to httpx

These steps come from our top use case, Refactor code across a whole repo from one plain-language request, which also has a copy-paste agent prompt.

Baize alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and data analysts who want a terminal agent for coding or data work and need sensitive values kept out of cloud LLM requests.
  • Why it is hot
  • LanguageJavaScript
  • Sourcegithub.com/Xu123-Bob/Baize · Back to Hot repos

Requirements

  • Python 3.10 or newer with pip
  • An API key for DeepSeek or another supported backend, or a local Ollama install
  • Optional: IBM SPSS Statistics or a reachable SQL database, depending on the use case
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Questions about Baize

What is Baize?

Baize is an open-source coding agent CLI, written in Python, that talks to several LLM backends, redacts sensitive data before it reaches the model, and can drive SPSS and SQL databases through MCP servers. It is an open-source project on GitHub: https://github.com/Xu123-Bob/Baize.

Who is Baize for?

Developers and data analysts who want a terminal agent for coding or data work and need sensitive values kept out of cloud LLM requests.

What can I do with Baize?

4 use cases so far, for example: Refactor code across a whole repo from one plain-language request; Analyze SPSS .sav data files by describing the analysis; Query a SQL database while redacting personal data before the LLM sees it. Each has steps and a copy-paste agent prompt.

What do I need to run Baize?

Python 3.10 or newer with pip; An API key for DeepSeek or another supported backend, or a local Ollama install; Optional: IBM SPSS Statistics or a reachable SQL database, depending on the use case.

What are alternatives to Baize?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Baize 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.