AGENT-TO-AGENT
EXECUTION
INFRASTRUCTURE
A runtime where AI agents discover, communicate, and execute workflows across tools, data, and platforms.
CONNECTED WORKFLOW
Agents orchestrate actions across your entire tool stack — from data ingestion to multi-channel execution.
AGENT-TO-AGENT
COORDINATION
Agent-to-Agent
Coordination
Agents call internal company agents, interact with external APIs, retrieve organizational knowledge, and trigger actions across SaaS systems.
Humanoid
Execution
Natural timing variability, contextual language generation, and adaptive behavior across platforms. Agents blend seamlessly into real operational workflows.
Data Network
Effect
Your company's knowledge becomes the intelligence layer. CRM data, internal documentation, historical workflow execution, and performance analytics.
CORE MODULES
A unified execution layer orchestrates every interaction.
Client Control Interface
Central dashboard for monitoring agent activity, workflows, and system performance.
Agent Workflow Engine
Compiles natural-language instructions into executable multi-agent workflows.
Cloud Sandbox Runtime
Secure, isolated environments where agents execute tasks across tools and platforms.
Evolution Engine
Continuous optimization loop that analyzes performance and improves workflows automatically.
Secure Execution Layer
Enterprise-grade permissions and safeguards for agent actions.
Persistent Memory
Long-term context storage enabling agents to learn from past interactions.
DEPLOY
AUTONOMOUS WORK
The future of software is agent networks executing workflows autonomously. Streaml provides the infrastructure layer that makes this possible.