HiveTerm
UnclaimedOne workspace where AI agents and dev tools collaborate seamlessly with config-driven process monitoring.
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TL;DR - HiveTerm
- Integrates AI agents and dev tools in a single workspace.
- Config-driven setup with process monitoring and crash recovery.
- Enables advanced agent coordination and automation via MCP server.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Consolidates multiple terminals and dev tools into one workspace.
- Automates complex development tasks through AI agent coordination.
- Ensures consistent development environments across teams with `hive.yml`.
- Provides robust process monitoring, crash recovery, and output buffering.
- Offers a free tier sufficient for real project use with agents.
Cons
- Requires learning a new configuration system (`hive.yml`).
- The free tier has limitations on projects, bees, and sub-agents.
- Relies on external AI keys (OpenAI or Groq) for voice input functionality.
Key Features
AI Agent WorkspaceConfig-driven setup (hive.yml)Built-in MCP Server for agent coordinationSub-agent spawningProcess monitoring & auto-restartSplit panes and tab switching in real terminals with PTY supportDesktop notifications from agentsCross-platform (Mac/Win/Linux)
Pricing
Freemium
HiveTerm offers a generous free tier with optional paid upgrades for advanced features.
What is HiveTerm?
HiveTerm is a desktop application designed to streamline development workflows by integrating AI agents and development tools into a single, cohesive workspace. It eliminates the need to juggle multiple terminals by providing a config-driven environment where processes are monitored and managed automatically. Developers can define their development stack and AI agents using a `hive.yml` file, allowing for consistent setup across teams and projects.
The platform facilitates advanced agent coordination through a built-in MCP (Multi-Agent Communication Protocol) server. This enables agents to spawn sub-agents, read each other's output, and send desktop notifications, automating tasks like fixing failing tests or restarting processes without direct user intervention. HiveTerm is ideal for developers and teams looking to enhance productivity, reduce manual oversight, and leverage AI for more intelligent and autonomous development operations, all within a cross-platform environment.
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HiveTerm FAQ
How does HiveTerm's MCP server enable agent coordination?
The built-in MCP (Multi-Agent Communication Protocol) server allows agents to communicate with each other, spawn sub-agents, read each other's output, and send desktop notifications. This enables complex automated workflows, such as one agent detecting a failing test and spawning another to fix it, or a build agent notifying you upon completion.
What is the purpose of the `hive.yml` file in HiveTerm?
The
hive.yml file is central to HiveTerm's config-driven setup. It allows users to define their 'bees' (agents and commands) and the entire development environment. By committing this file to a repository, teams can ensure that every member who clones the repo and runs hv swarm gets the exact same project setup, promoting consistency and ease of onboarding.Can HiveTerm agents provide notifications without interrupting my workflow?
Yes, HiveTerm agents are designed to notify you without interrupting your work. For example, if a long build is running, the agent can send a native desktop notification when it's done, allowing you to continue focusing on other tasks until you're ready to switch contexts.
How does the 'Talk to your agents' feature work and what are its requirements?
The 'Talk to your agents' feature allows you to speak commands or ideas directly into an agent's input using voice. You activate it with a hotkey (⌘⇧M) or a floating mic icon. It requires you to provide your own OpenAI or Groq API key, as the audio is sent directly to these services for transcription. The transcription appears in the agent's input, which you can then edit before sending.
Source: hiveterm.com