Now in Public Beta

Connect
your users' AISessionCast to your service.

Plug in Claude Code, Gemini CLI, Ollama, and more — the AI your users already use. You focus on building great features.

Get Started →View API Docs
Supported AI Runtimes

Connects to AI runtimes running on your users' machines

Why BYOAI?

Fundamentally changing how AI is delivered

Connect the CLI AI your users already use — Claude Code, Gemini CLI, Ollama, and more.

Traditional

Company owns & provides AI

Companies purchase and operate their own AI APIs, providing the same model to all users. Cost and operational burden falls entirely on the company.

User→Your App→Company AI APICompany-owned

No model choice · API ops burden · Direct cost

BYOAI

Users already have their AI

Leverage the CLI AI users already subscribe to and install. SessionCast bridges your app and their AI.

User + AI→SessionCast→Your AppUser-owned

Free model choice · Zero ops burden · User bears cost

Old premise“Companies must provide AI”
→
BYOAI premise“Users already have AI”
Architecture

SessionCast connects everything

SessionCast bridges your 3rd-party app and the user's local AI

3rd-Party App
Your App
📦GitHub App
💬Slack Bot
🔌VS Code Extension
No AI infra needed,
focus on features
Request
Response
Connection Platform
SessionCast
🔐OAuth 2.0 Auth
🔀AI Router
📡Relay (Real-time)
Auth · Routing · Relay
handles all connections
Forward
Result
Local AI Runtime
User's PC
🤖Claude Code
✨Gemini CLI
🦙Ollama
Leverages the AI
users already run

Request from your app→SessionCast authenticates & relays→User's AI processes→Return results

Platform Capabilities

Everything you need to build AI-powered integrations

Authentication, real-time communication, API — see how each component works.

Login + AI consent in one step
What happens when a user first visits your app
User
Visits your app
→
SessionCast
Login screen
→
SessionCast
AI consent
→
Done
Token issued
Like “Sign in with Google” — one button handles authentication and “This app can use my AI” consent at once.Developers don't need to build their own login system.
Authorization Code Flow + PKCE
Delegated securityAutomated consent
Your app ↔ User's AI in real-time
Send commands and receive AI responses via streaming
Your app
Send command
→
SessionCast
WebSocket relay
→
User's PC
AI processes
→
SessionCast
Stream response
Like YouTube Live — the user's AI streams responses as they're generated. No waiting for the full answer.WebSocket = persistent connection like a phone call.
wss:// + auto-reconnect + heartbeat
Real-time streamingBidirectional
Session, Agent & User management
Control the SessionCast platform via HTTP requests
Your app
API request
→
SessionCast
Process
→
SessionCast
JSON response
→
Your app
Use result
Resource
Sessions
Resource
Agents
Resource
Users
Like Google Maps API — send commands like “list sessions” or “disconnect this user” and get JSON back.REST API = the most common web standard. Works with any language.
GET / POST / PUT / DELETE
Session controlUser management
Use Cases

Services you can build with BYOAI

Connect users' AI to various third-party apps and workflows

Code Review Bot
Slack AI Assistant
VS Code Extension
CI/CD Monitor
Remote Dev Environment
Custom AI Workflow
Code Review Bot
AI automatically reviews code when a PR is opened
Developer
Opens PR
→
GitHub App
Detects change
→
SessionCast
Forwards to AI
→
User's AI
Analyzes code
→
GitHub PR
Posts review
In simple terms: The moment a PR is opened, the user's AI automatically finds bugs and improvements, posting review comments on GitHub.
auto-triggerai-reviewgithub
Slack AI Assistant
Ask a question in Slack and the user's local AI responds instantly
Team member
Asks in Slack
→
Slack Bot
Receives query
→
SessionCast
Connects AI
→
Local AI
Generates answer
→
Slack channel
Posts reply
In simple terms: Mention the bot and someone's local AI answers — not a company server. No AI costs billed to the company.
slackmention-triggerchannel-post
VS Code Extension
Request code analysis from a remote AI right in your editor
Developer
Selects code
→
VS Code
Sends request
→
SessionCast
Remote connect
→
Remote AI
Analyzes code
→
VS Code
Shows result
In simple terms: Use a more powerful AI model running on someone else's machine, right from VS Code. Think of it as borrowing an AI runtime.
vscoderemote-aicode-analysis
CI/CD Monitor
AI automatically analyzes the root cause when a build fails
Pipeline
Build fails
→
CI/CD
Detects failure
→
SessionCast
Sends logs
→
User's AI
Root cause analysis
→
Developer
Gets fix suggestion
In simple terms: When a deploy breaks, error logs are automatically sent to AI which identifies the cause and suggests a fix.
ci-cdauto-detectfix-suggest
Remote Dev Environment
Share your terminal and pair-program with AI
Developer
Shares terminal
→
SessionCast
Real-time relay
→
AI Agent
Suggests code
→
SessionCast
Sends result
→
Developer
Applies instantly
In simple terms: Share your terminal in real-time while AI codes alongside you. It's like having an AI pair programmer always by your side.
terminal-sharerealtimepair-programming
Custom AI Workflow
Multiple AIs divide roles to handle complex tasks
Your App
Task request
→
SessionCast
Orchestration
→
AI Agent 1
Step 1
→
AI Agent 2
Step 2
→
Your App
Final result
In simple terms: Like a conveyor belt — multiple AIs each handle their assigned step and pass it along. Research, summarize, translate — all automated.
multi-agentpipelineorchestration
Developer Support

Connect any way you want

Build in your preferred language and choose the integration method that fits.

Languages
TypeScript / JavaScriptAvailable
Java / KotlinAvailable
PythonSoon
GoSoon
Integration
01
REST API
One-off requests
Request and get JSON back. Best for single operations like creating, reading, or deleting sessions.
POST /v1/sessions
02
WebSocket Relay
Real-time streaming
Maintain a persistent connection and stream AI responses as they're generated.
ws://relay.sessioncast.io
03
OAuth 2.0
User authentication
One button handles login and AI consent — like “Sign in with Google”.
GET /oauth/authorize
04
CLI Agent
Quick terminal testing
One install, then run and connect AI agents directly from the command line.
npm i -g sessioncast-cli

Connect your users' AI
to your service.

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