Gemini Rust Suite 🦀
@frostdev-ops
About Gemini Rust Suite 🦀
> Gemini Rust Suite 🦀: A powerful, modular Rust toolkit for interacting with Google Gemini. Features a feature-rich CLI, persistent semantic memory (LanceDB), and extensible tool integration via the Model Context Protocol (MCP).
Config
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Overview
What is Gemini Rust Suite?
Gemini Rust Suite is a collection of Rust crates for interacting with Google Gemini models. It enables tool usage via the Model Context Protocol (MCP), persistent semantic memory using a vector database, and a command-line interface for Linux terminals.
How to use Gemini Rust Suite?
Install by running the install.sh script from the repository root, which builds the binaries and configures a gemini shell wrapper. Configure your API key and settings in ~/.config/gemini-suite/config.toml. Use the gemini command for single prompts, interactive chat (-i), task loops (-t), or tool‑augmented queries.
Key features of Gemini Rust Suite
- Asynchronous client for the Gemini API with type‑safe Rust structs
- MCP host that discovers, launches, and communicates with external tool servers
- Persistent semantic memory store powered by LanceDB
- Automatic prompt enhancement with relevant memories
- Interactive CLI with single‑shot, chat, and task‑loop modes
- Built‑in MCP servers for filesystem, command execution, and memory storage
- Chat history preserved across CLI commands via a shell wrapper function
Use cases of Gemini Rust Suite
- Ask Gemini questions and receive formatted, markdown‑rendered answers
- Engage in ongoing, context‑aware conversations using interactive chat mode
- Automate multi‑step tasks by assigning them to Gemini via the task‑loop mode
- Extend Gemini’s capabilities by connecting to external MCP tools (e.g., file reading, command execution)
- Maintain long‑term memory across sessions, allowing Gemini to recall past conversations
FAQ from Gemini Rust Suite
What are the prerequisites?
You need the Rust toolchain, a Gemini API key from Google AI Studio, and a supported shell (Bash or Zsh recommended for the gemini wrapper).
How do I configure my API key?
The API key is read from ~/.config/gemini-suite/config.toml, then from the GEMINI_API_KEY environment variable, and finally from a .env file in the current working directory.
How does chat history work across separate commands?
The gemini wrapper function (added to your shell config) captures a session ID from the binary’s output and exports it. This allows subsequent commands to continue the same conversation. Without the wrapper, history persists only within a single interactive (-i) session.
What built‑in MCP servers are included?
The suite includes built‑in servers for filesystem operations (filesystem), command execution (command), and memory storage/embedding (memory_store).
How do I manage the MCP host daemon?
Zsh users can use the mcpd helper function (installed by install.sh) with commands like mcpd start, mcpd stop, mcpd status, and mcpd logs.
Frequently asked questions
What are the prerequisites?
You need the Rust toolchain, a Gemini API key from Google AI Studio, and a supported shell (Bash or Zsh recommended for the `gemini` wrapper).
How do I configure my API key?
The API key is read from `~/.config/gemini-suite/config.toml`, then from the `GEMINI_API_KEY` environment variable, and finally from a `.env` file in the current working directory.
How does chat history work across separate commands?
The `gemini` wrapper function (added to your shell config) captures a session ID from the binary’s output and exports it. This allows subsequent commands to continue the same conversation. Without the wrapper, history persists only within a single interactive (`-i`) session.
What built‑in MCP servers are included?
The suite includes built‑in servers for filesystem operations (`filesystem`), command execution (`command`), and memory storage/embedding (`memory_store`).
How do I manage the MCP host daemon?
Zsh users can use the `mcpd` helper function (installed by `install.sh`) with commands like `mcpd start`, `mcpd stop`, `mcpd status`, and `mcpd logs`.
Basic information
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