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HiveTermUnify every AI agent and your entire dev stack in one seamless workspace

Stop juggling AI agents across tabs. HiveTerm unifies Claude Code, Codex, Gemini and your dev stack in one config-driven workspace with voice input and agent collaboration.

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More About HiveTerm

HiveTerm

HiveTerm is the unified workspace where AI agents and your development stack finally work together. Stop juggling multiple terminals—configure your entire environment in a single YAML file and let intelligent agents coordinate tasks, monitor processes, and notify you only when needed.

Product Highlights

  • Config-Driven Setup: Define your entire development environment in hive.yml—version it, share it, and replicate it across teams instantly.
  • Built-In MCP Server: Agents communicate natively through a local MCP server, spawning sub-agents and reading each other's outputs without human intervention.
  • Process Monitoring & Auto-Recovery: Every process runs with CPU/memory tracking, automatic crash restart, and output buffering for headless agent review.
  • Voice-to-Agent Input: Press ⌘⇧M and speak your instructions—transcription auto-stops when you do, with support for 11 languages.
  • Cross-Platform Native: Full PTY terminal support on macOS, Windows, and Linux with split panes and desktop notifications.

Use Cases

  • AI-Assisted Development Teams: Run multiple AI agents (Claude, Codex, custom) that spawn sub-agents, share context, and coordinate builds without blocking your workflow.
  • Reproducible Dev Environments: Commit hive.yml to your repo—new teammates run hv swarm and get identical agent configurations, eliminating "works on my machine" issues.
  • Long-Running Process Management: Start builds, tests, or watchers that auto-restart on failure and ping you via native notifications when complete, so you can focus elsewhere.
  • Voice-Driven Rapid Prototyping: Dictate complex agent instructions when you have ideas but don't want to type paragraphs of context.

Target Audience

HiveTerm is built for software developers, AI engineers, and devops teams who manage multiple AI agents and long-running processes daily. It's ideal for teams seeking reproducible, shareable development environments with intelligent automation baked in.

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