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HiveTerm
Quiet
#6813 Radar 31

A desktop terminal workspace for orchestrating AI agents and dev stack processes.

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Product memo

Developers and AI engineers use HiveTerm to manage AI agents and their development stack from a single workspace. It unifies agent coordination with traditional dev tools, allowing agents to delegate tasks and report completion without constant user intervention. This config-driven orchestration reduces workflow interruptions, simplifying complex processes within a desktop environment.

For who

Developers and AI engineers

Solves what

Managing AI agents and dev stack processes in a unified workspace.

  • Unified agent and dev stack workspace
  • Config-driven orchestration (hive.yml)
  • Agent-to-agent coordination and notifications

In their own words

The workspace for your

Stop juggling terminals. One workspace where AI agents and dev tools actually work together. Config-driven, with process monitoring built in. Free for macOS, Windows, and Linux.

Commercial cues

Pricing snapshot free only with free tier

Model

free only

Free tier

Yes

Trial

No

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A free tier lets small projects test agent orchestration without upfront cost.
  • Visible limits define plan boundaries.

Operator context

Operating setup

Team

Indie / lean

LLM classification

Founded

Apr 2026

HQ

United States

Platform

Desktop

Audience

Developers

Tech stack

Astro

Builder Strategy

Strategy Type
Niche Specialist
Stage
Bootstrapped Lean
Effort
Small Team
About HiveTerm Expand

HiveTerm offers developers and AI engineers a unified desktop workspace for managing AI agents alongside their existing development tools. It solves the challenge of juggling multiple terminals and interfaces by centralizing agent-to-agent coordination through a config-driven approach.

This allows users to define complex workflows where agents can autonomously delegate tasks and report back, minimizing manual oversight. The product's free tier provides a low-friction entry point for experimenting with agent orchestration, while the Pro plan caters to more intensive use cases with unlimited projects and agents.