← ClaudeAtlas

configuring-brainpalacelisted

Installation and configuration skill for BrainPalace document search system. Use when asked to "install BrainPalace", "setup BrainPalace", "configure BrainPalace", "setting up document search", "installing brainpalace packages", "configuring API keys", "initializing project for search", "troubleshooting BrainPalace", "pip install brainpalace", "BrainPalace not working", "BrainPalace setup error", "configure embeddings provider", "setup ollama for BrainPalace", or "BrainPalace environment variables". Covers package installation, provider configuration, project initialization, and server management.
bxw91/brainpalace · ★ 2 · AI & Automation · score 81
Install: claude install-skill bxw91/brainpalace
# Configuring BrainPalace Installation and configuration for BrainPalace document search with pluggable providers. ## Contents - [Quick Setup](#quick-setup) - [Setup Wizard](#setup-wizard) - [Prerequisites](#prerequisites) - [Installation](#installation) - [Provider Configuration](#provider-configuration) - [Project Initialization](#project-initialization) - [Verification](#verification) - [When Not to Use](#when-not-to-use) - [Reference Documentation](#reference-documentation) --- ## Multi-Runtime Support BrainPalace supports multiple AI coding runtimes from a single canonical plugin source: | Runtime | Install Command | |---------|----------------| | Claude Code | `brainpalace install-agent --agent claude` | | OpenCode | `brainpalace install-agent --agent opencode` | | Gemini CLI | `brainpalace install-agent --agent gemini` | All runtimes share the same `.brainpalace/` data directory for indexes, configuration, and server state. The `install-agent` command converts the canonical plugin format into each runtime's native format automatically. Use `--global` for user-level installation, or `--dry-run` to preview files before writing. --- ## Quick Setup ### Option A: Local with Ollama (FREE, No API Keys) ```bash # 1. Install packages pip install brainpalace-rag brainpalace-cli # 2. Install and start Ollama brew install ollama # macOS ollama serve & ollama pull nomic-embed-text ollama pull llama3.2 # 3. Configure for Ollama export EMBEDDING_PROVIDER=ollama export