nick1udwig

kibitz

Community nick1udwig
Updated

The coding agent for professionals

kibitz

The coding agent for professionals

https://github.com/user-attachments/assets/3f8df448-1c81-4ff2-8598-c48283a4dc00

Prerequisites

  • git
  • npm

Installation

  1. Clone the repository:
git clone https://github.com/nick1udwig/kibitz.git
cd kibitz
  1. Install dependencies:
npm install
  1. Run the development server:
npm run dev
  1. Open http://localhost:3000 in your browser.

Configuration

  1. Open the Settings panel in the UI
  2. Enter your Anthropic API key (Get one here).
  3. Optionally set a system prompt
  4. Configure MCPs by running them using ws-mcp and then connecting to them in the Settings page

Note configuration is PER-PROJECT.When creating a new project, it will use some, but not all, of the current project's configuration: the API key, model, and system prompt will be copied over, but MCP servers will not.

Building for Kinode

  1. Add a base to the endpoint by building with the NEXT_PUBLIC_BASE_PATH (MUST start with a /),
  2. Change the default WS-MCP server URI by specifying NEXT_PUBLIC_DEFAULT_WS_URI (MUST start with a /),

like so:

NEXT_PUBLIC_BASE_PATH=/kibitz:kibitz:nick.kino NEXT_PUBLIC_DEFAULT_WS_URI=/fwd-ws:kibitz:nick.kino npm run build

and then copy the contents of out/ into the package's pkg/ui/ dir.

MCP Server ยท Populars

MCP Server ยท New

    LeulAria

    Aria Icons

    MCP server for 340k SVG icons

    Community LeulAria
    knowall-ai

    Reverie โ€” graph memory that dreams

    Memory management MCP server for AI agents using Neo4j knowledge graphs

    Community knowall-ai
    keploy

    Key Highlights

    Open-source platform for creating safe, isolated production sandboxes for API, integration, and E2E testing.

    Community keploy
    hermes-labs-ai

    Fidelis Memory

    Zero-LLM agent memory for Claude Code and AI agents: local-first BM25, dense-vector, and reciprocal-rank-fusion retrieval. Returns original passages verbatim by default. Available on PyPI as fidelis-memory. MIT.

    Community hermes-labs-ai
    n24q02m

    Better Code Review Graph

    Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.

    Community n24q02m