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OpenAgent Runtime

OpenAgent Runtime is an open-source framework for building reliable long-running AI agents that can interact with browsers, execute tools, maintain persistent task state, recover from failures, and complete multi-step real-world workflows.

Overview

Many AI agents perform well in short demonstrations but become unreliable when executing long-running tasks involving browsers, external tools, APIs, and hundreds of sequential actions.

OpenAgent Runtime focuses on the execution infrastructure required to make autonomous agents more reliable in real-world environments.

Core Features

  • Browser automation
  • Multi-step task orchestration
  • Persistent task state
  • Tool and API execution
  • Retry and failure recovery
  • Structured execution logs
  • Human-in-the-loop approval
  • Long-running task management

Example Use Cases

  • Web research agents
  • Business process automation
  • Competitive intelligence
  • Sales research workflows
  • Data collection agents
  • Browser-based operations
  • Coding and maintenance agents

Architecture

User Task
    ↓
Agent Planner
    ↓
Task Queue
    ↓
Browser / Tools / APIs
    ↓
Persistent State
    ↓
Validation
    ↓
Retry / Recovery
    ↓
Final Result

About

Open-source runtime for reliable long-running AI agents with browser automation, persistent state, tool execution, and failure recovery.

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