ToolKami - Simple Agents Made Easy

ToolKami is an open sourced "simple" framework with conceptually clear, independant parts that allows you to build and work seamlessly with AI agents. It comes with a Command Line Interface and curated Tools.

toolkami CLI is a modified version of 's CEO Tobias try implementation. It extends the implementation with sandboxing capabilities and designed with functional core, imperative shell in mind.

NOTE: tk an alias of toolkami is available too.

Commands:

• toolkami init [PATH]: Generate shell function
• toolkami cd [QUERY]: Interactive selector
• toolkami wt [NAME]: Create worktree from current repo
  • merge: Merge worktree changes back to parent repo
  • drop: Delete worktree and branch
• toolkami sb: Run Docker sandbox from .toolkami/docker-compose.yml
  • build [--no-cache]: Build service image (pass Docker Compose flags like --no-cache)
  • exec [CMD...]: Exec into the sandbox container (defaults to interactive bash)

It is designed to support multiple, concurrent agent workflows:

curl -sL https://raw.githubusercontent.com/aperoc/toolkami/refs/heads/main/toolkami.rb > ~/.local/toolkami.rb

# Make "try" executable so it can be run directly
chmod +x ~/.local/toolkami.rb

# Add to your shell (bash/zsh)
echo >> ~/.zshrc # add new line
echo 'eval "$(ruby ~/.local/toolkami.rb init)"' >> ~/.zshrc

ToolKami's framework let deterministic tools and dynamic agents to work together seamlessly. It is designed on the premise of simplicity, composability and extensibility that scales nicely with LLM's increasing capability.

All the MCP servers can be distributed as a single file binary, thanks to UV script.

I have elaborated on default File and Shell tool in this blog post, along with what can be improved.

# Install UV

## OSX/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
## Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

# Start the MCP server
`./servers/__main__.py`

A minimal implementation of AlphaEvolve using this framework with detailed writeup and code.

(Credits to https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/)

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