Key Features of Agent Hive

• General-Purpose Intelligence
  Handles a broad variety of tasks like information gathering, reasoning, report writing, automation, and more, without task-specific templates. The agent adapts its approach based on your goals rather than following rigid workflows.
• Computer as a Tool
  Access to the OS and runtime environment as native tools: it writes its own scripts, runs code and terminal commands, and builds utilities on the fly to solve problems dynamically.
• Autonomous Code Execution & Debugging
  Automatically spawns a coding-focused subordinate for complex programming problems. This coder generates, saves, executes, tests, and refines code in real-time. It can identify and fix errors autonomously without manual intervention.
• Multi-Agent Collaboration
  Delegates tasks to specialized subordinate agents. It can use existing agents or create new ones in real time. Subordinates are persistent and report back to their superior, enabling sophisticated divide-and-conquer strategies.
• Persistent Contextual Memory
  Continuously analyzes conversations for important details. Saves key findings, solutions, and user preferences to memory for future reference, ensuring continuity across sessions.
• Tracing Enabled
  All activity is recorded in the Tracing Section, including user inputs, tool calls, memory lookups, and reasoning steps, in structured JSON format. This provides complete visibility into the agent’s decision-making process.
• Agent-to-Agent (A2A) Protocol
  Supports server and client mode for agent-to-agent communication and collaboration across systems. Multiple agents can work together seamlessly, even when distributed across different machines.
• MCP Integration
  Users can integrate external MCP servers and use them with the Agent hive. Simultaneously, you can host your Agent Hive as a remote MCP server for other clients (AgentHive workflow, Cursor, Claude, etc.), enabling broad ecosystem compatibility.
• Transparent & Controllable
  Every step is visible: see background tools, JSON parameters, utility messages, and execution logs in real time. You can pause, refine, or guide the agent mid-process to steer it toward a desired outcome.
• Customizable Behavior
  Users can define behavior rules (e.g., communication style, reporting habits). The agent adapts and follows these rules consistently, ensuring it works the way you prefer.
• Vision Capabilities
  Can analyze and understand images, making it useful for visual tasks such as diagrams, screenshots, and reports. The agent can extract information from visual content and incorporate it into its workflows.
• Secrets Management
  Credentials can be used securely by the agent without exposing them in plain text. Sensitive information like API keys and passwords are handled safely throughout operations.