Documentation Index
Fetch the complete documentation index at: https://docs.oktolabs.ai/llms.txt
Use this file to discover all available pages before exploring further.
Install
Pulse runs as a single Python process on your machine. No cloud account. No data leaves your system. Two commands and you have a board.Prerequisites
- Python 3.11 or higher
- pip
brew install python@3.12
Install Pulse
- pip (recommended)
- Docker
- From source
Initialize
Run this in the directory where your agent will work. Pulse creates your board and writes the MCP configuration file your agent will use to connect.- Creates
~/.okto-pulse/with your database and board data - Writes
.mcp.jsonin the current directory with a scoped API key
Start
| Endpoint | Default URL |
|---|---|
| Web board and API | http://localhost:8100 |
| MCP server (agent access) | http://localhost:8101/mcp |
http://localhost:8100. Your board is ready.
First run note: If you installed via pip, Pulse downloads the semantic search model (all-MiniLM-L6-v2, ~90 MB) on first start. This takes 30–60 seconds depending on your connection. The model is cached; subsequent starts are fast.
Verify
.mcp.json:
Where your data lives
All Pulse data is stored locally at~/.okto-pulse/:
Next steps
Connect your agent
Wire up Claude Code, Cursor, Cline, or any MCP-compatible agent.
First workflow
Idea → spec → cards in your first session.