Everruns

Headless Agent Platform

Integrate AI agents into your systems through APIs. Centralize governance. Keep execution within your security perimeter.

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Note: Everruns is under active development and not yet publicly available.

The Problem

Enterprises are building AI agents at scale. 82% of enterprises use AI agents daily, with IDC forecasting 1.3 billion enterprise agents by 2028.

But integrating these agents into internal systems creates challenges:

  • Agent sprawl — 44% of enterprises cite technical debt from uncontrolled agent proliferation
  • Governance gaps — 80% of organizations have encountered risky behaviors from AI agents, including improper data exposure
  • Security concerns — 78% of CIOs cite security and compliance as primary barriers to scaling agent-based AI
  • Integration complexity — Each agent needs connections to internal tools, databases, and services

Traditional agent interfaces are designed for human interaction. When agents need to work as backend services - processing data, triggering automations, connecting systems - you need headless execution.

What is Headless Agent Execution?

A headless AI agent runs entirely in the background through APIs, with no user interface. It processes data, makes decisions, and performs tasks through backend automation.

This enables:

  • System integration — Agents called from microservices, middleware, and orchestration layers
  • Multi-agent coordination — Agents communicating with each other programmatically
  • Workflow embedding — AI decision-making inside existing automation pipelines
  • Backend automation — Complex processes without human intervention

Salesforce’s Agent API exemplifies this approach: agents running server-side, callable from any system, without relying on Salesforce’s UI.

Headless Agent SDKs

Major AI platforms now offer SDKs for headless agent execution:

  • GitHub Copilot SDK — Embed Copilot’s agentic capabilities into applications. Available for Python, TypeScript, Go, and .NET.
  • Claude Agent SDK — Programmatic access to Claude Code’s capabilities. Build agents that read files, run commands, and edit code.
  • Cloudflare Agents SDK — Deploy agents on edge infrastructure with state persistence.

This convergence signals that headless execution is becoming the standard interface for AI agents in production systems.

How Everruns Helps

Everruns provides the execution infrastructure for headless enterprise agents:

  1. Durable execution — Managed event loop composed from atoms. Every step persisted. Agents resume from where they left off after failures.
  2. On-premise / VPC deployment — Run within your security perimeter. Sensitive data never leaves your infrastructure.
  3. API-first design — Agents exposed as services. Call them from any system.
  4. Centralized orchestration — Single platform for all agent workloads.

Governance-Ready Infrastructure

Headless agents running critical business processes need governance:

  • Audit trails — Full logging of agent actions for compliance
  • Scoped execution — Agents run with minimal required permissions
  • Kill switches — Halt agents immediately if needed
  • Real-time visibility — Streaming events show what agents are doing

MCP gateways handle tool access control. Control planes like Agent 365 handle agent management. Everruns handles the execution layer - ensuring agents complete their work even when infrastructure fails.

Security Perimeter

Traditional perimeter security has shifted. Data flows through browsers, SaaS tools, and AI interfaces. For sensitive workloads, on-premise deployment keeps AI execution within your infrastructure.

Everruns supports deployment inside your security perimeter:

  • VPC or on-premise installation
  • No data leaves your infrastructure
  • Integration with existing identity and access management
  • Compliance with data sovereignty requirements

Use Case Examples

  • Backend automation — Agents processing orders, updating inventory, coordinating logistics
  • Data pipeline integration — AI enrichment steps in ETL workflows
  • Cross-system orchestration — Agents coordinating actions across Slack, Jira, GitHub, internal tools
  • Compliance workflows — Automated document review, policy checking, audit preparation
  • Customer operations — Headless agents handling refunds, account updates, support escalation

Further Reading