Agent Orchestration

Ultra-efficient AI orchestration for managed services

Deploy isolated, task-specific agents at scale. Built from the ground up in Go. Under 10MB RAM per agent. Sub-second boot.

Weaver agent orchestration visualization
99.9%
Uptime
25
Sessions
<10MB
Per Agent
<1s
Boot Time

Everything you need
to orchestrate agents

A complete toolkit for deploying, managing, and scaling intelligent agents across your infrastructure.

Multi-Provider LLM
Gemini, OpenAI, Anthropic. Switch models per agent without code changes.
Built-in Tool System
File ops, web search, shell execution, and canvas mutations out of the box.
Workspace Isolation
Each agent runs in its own session with independent memory and workspace.
REST + WebSocket
Chat endpoint for sync requests. Real-time streaming for interactive UIs.
Sub-Agent Spawning
Agents spawn background workers for parallel task execution.
Heartbeat System
Periodic health checks and proactive task execution on configurable intervals.

Designed for
isolation and speed

A layered architecture where every agent runs in its own lightweight, memory-safe session.

Client
REST · WebSocket · Admin UI
REST API WebSocket Admin Dashboard
Sync and streaming interfaces for agent interaction and system management.
Gateway
Router · Auth · Rate Limiting
Request Router Authentication Rate Limiter
Stateless request handling with per-session auth and configurable throttling.
Weaver Core
Sessions · Lifecycle · Tools
Session Manager Agent Lifecycle Tool Registry
Each agent isolated in <10MB. Sub-second boot. Independent memory and workspace per session.
Providers
OpenAI · Anthropic · Gemini
OpenAI Anthropic Gemini
Swap models per agent without code changes. Unified interface across all providers.

Simple, predictable
endpoints

GET /health Service health check
GET /ready Readiness probe
POST /chat Send message to agent
GET /admin/status System status and sessions
GET /admin/logs Live service logs

Part of something
bigger

Weaver powers the agent layer across the Standard Compute ecosystem.