gpt2099.nu
gpt2099.nuは、Nushellを使用したMCPクライアントで、編集可能なコンテキストスレッドを提供します。複数のAIモデルに対して一貫したAPIを提供し、セッションをまたいで会話を保存・編集できる機能が特徴です。これにより、ユーザーは自分のコンテキストを制御し、柔軟なツール統合を実現します。
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gpt2099 
A Nushell scriptable
MCP client
with editable context threads
stored in cross.stream
Features
- Consistent API Across Models: Connect to Gemini + Search and Anthropic + Search through a
single, simple interface. (Add providers easily.) - Persistent, Editable Conversations:
Conversation threads are
saved across sessions. Review, edit, and control your own context window — no black-box history. - Flexible Tool Integration: Connect to MCP servers to extend functionality.
gpt2099already
rivals Claude Code for local file
editing, but with full provider independence and deeper flexibility. - Document Support: Upload and reference documents (PDFs, images, text files) directly in
conversations with automatic content-type detection and optional caching.
Built on cross.stream for event-driven processing, gpt2099
brings modern AI directly into your Nushell workflow — fully scriptable, fully inspectable, all in
the terminal.
https://github.com/user-attachments/assets/1254aaa1-2ca2-46b5-96e8-b5e466c735bd
"lady on the track" provided by mobygratis
Getting started
Step 1.
First, install and configure cross.stream. Once set up, you'll
have the full cross.stream ecosystem of tools for editing and
working with your context windows.
After this step you should be able to run:
"as easy as" | .append abc123
.head abc123 | .cas
Step 2.
It really is easy from here.
overlay use -pr ./gpt
Step 3.
Initialize the cross.stream command that performs the actual LLM call. This appends the command to
your event stream so later gpt invocations can use it:
gpt init
Step 4.
Enable your preferred provider. This stores the API key for later use:
gpt provider enable
Step 5.
Set up a milli alias for a lightweight model (try OpenAI's gpt-4.1-mini or Anthropic'sclaude-3-5-haiku-20241022):
gpt provider ptr milli --set
Step 6.
Give it a spin:
"hola" | gpt -p milli
Documentation
- Commands Reference - Complete command syntax and options
- How-To Guides - Task-oriented workflows:
- Configure Providers - Set up AI providers and model
aliases - Work with Documents - Register and use documents in
conversations - Manage Conversations - Threading, bookmarking, and
continuation - Use MCP Servers - Extend functionality with external tools
- Generate Code Context - Create structured context from
Git repositories
- Configure Providers - Set up AI providers and model
Reference Documentation
- Provider API - Technical specification for implementing
providers - Schemas - Complete data structure reference for all gpt2099
schemas
FAQ
- Why does the name include 2099? What else would you call the future?
Original intro
This is how the project looked, 4 hours into its inception:
https://github.com/user-attachments/assets/768cc655-a892-47cc-bf64-8b5f61c41f35