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How to use Aikito: what you can do with it

What is Aikito? Aikito is a CLI workspace that governs the instructions, skills, MCP servers, subagents and memory your coding agents share across projects, operating systems and machines.

How do I use it? Install: uv tool install aikito, or brew install lsaint/tap/aikito; then create the workspace: aikito init workspace ~/aikito; Preview what would be adopted with Aikito adopt --dry-run. Full steps below.

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3 use cases

  • Bring all your agent configs into one workspace

    Install Aikito, create one personal Git workspace, adopt the instructions, skills, MCP servers and memory your agents already use, and sync them back out.

    View prompt
    Install and configure Aikito from https://github.com/lsaint/aikito. Inspect the agent configuration I already use, initialize the Aikito workspace, adopt supported existing resources, synchronize them, and verify the result with aikito status. Ask before using --skip, --force or --prune.
  • Keep agent context in sync across machines

    Version your Aikito workspace with Git and sync it on each machine, so every computer gets the same skills, instructions and durable memory.

    View prompt
    Help me move my Aikito workspace at ~/aikito to a private Git remote: check it for secrets first, push it, then give me the exact commands to set it up on my <second OS> machine and verify with aikito status.
  • Let your coding agent install and configure Aikito

    Paste the setup prompt from Aikito's README into your coding agent and let it inspect your current setup, adopt it and verify the result, asking before risky flags.

    View prompt
    Install and configure Aikito from https://github.com/lsaint/aikito. Read the README and src/aikito/templates/skills/aikito/SKILL.md. Preserve my current setup, do not register a project without my confirmation, and if there is nothing to adopt, skip that step and tell me.

Quick start with Aikito

  1. Check you have what it needs: uv or Homebrew; On Windows, Developer Mode.
  2. Open lsaint/aikito on GitHub and read the README and license.
  3. Install: uv tool install aikito, or brew install lsaint/tap/aikito
  4. Create the workspace: aikito init workspace ~/aikito
  5. Preview what would be adopted with Aikito adopt --dry-run
  6. Adopt your existing setup with aikito adopt; it preflights the whole plan before writing

These steps come from our top use case, Bring all your agent configs into one workspace, which also has a copy-paste agent prompt.

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About this repo

  • Who it is forDevelopers who use several coding agents across multiple projects and machines and want one source of truth for agent context.
  • Why it is hot130 stars, launched 84 days ago
  • LanguagePython
  • Sourcegithub.com/lsaint/aikito · Back to Hot repos

Requirements

  • uv or Homebrew
  • On Windows, Developer Mode

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Questions about Aikito

What is Aikito?

Aikito is a CLI workspace that governs the instructions, skills, MCP servers, subagents and memory your coding agents share across projects, operating systems and machines. It is an open-source project on GitHub: https://github.com/lsaint/aikito.

How do I use Aikito?

Install: uv tool install aikito, or brew install lsaint/tap/aikito; then create the workspace: aikito init workspace ~/aikito; Preview what would be adopted with Aikito adopt --dry-run. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Aikito for?

Developers who use several coding agents across multiple projects and machines and want one source of truth for agent context.

What can I do with Aikito?

3 use cases so far, for example: Bring all your agent configs into one workspace; Keep agent context in sync across machines; Let your coding agent install and configure Aikito. Each has steps and a copy-paste agent prompt.

What do I need to run Aikito?

uv or Homebrew; On Windows, Developer Mode.

What are alternatives to Aikito?

Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.

Is Aikito 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.