Multi-agent terminal for AI coding agents with split panes, allowing orchestration of various models in one workspace.
HiveTerm
Multi-agent terminal for AI coding agents with split panes, allowing orchestration of various models in one workspace.
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What it does
HiveTerm provides a unified terminal environment where developers can run and orchestrate multiple AI coding agents like Claude Code, Codex, Gemini, and Grok side-by-side in split panes. It features a built-in MCP server for agent coordination and allows defining the entire development stack, including agents and processes, in a version-controlled hive.yml file. This enables teams to share exact workspace configurations, ensuring consistent environments and automated agent workflows across projects.
Who it helps
Developers, software engineers, and development teams who use multiple AI coding assistants and seek to streamline their workflow by managing agents and environments from a single, configurable terminal.
Why it's interesting
HiveTerm addresses the growing need for managing multiple AI coding agents in a structured way, offering a 'config as code' approach for development environments. Its ability to orchestrate agents, auto-detect stacks, and provide a consistent workspace via hive.yml could significantly boost developer productivity and collaboration, especially as AI assistants become more integral to coding workflows.
Card stats
AI-assisted scores estimated from public website information only.
FounderDeck estimate
Medium confidenceThis estimate reflects HiveTerm's highly polished product, clear value proposition for developers managing multiple AI coding agents, and its strong relevance in the rapidly growing AI development space. The 'config as code' approach for consistent environments is a powerful feature. The estimate is not higher due to the explicit 'free' offering, which currently provides no clear monetisation path or revenue proof, limiting its immediate business valuation despite its strong technical execution and market fit.
Valuation date: 2026-06-05. Estimate generated from public signals.
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