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agent-framework · tool profile
Hive
Multi-Agent Harness for Production AI
agent-framework CodexCursor
01
At a glance.
A compact read before the deeper capability notes and official setup links.
02
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
The agent harness for production workloads — state management, failure recovery, observability, and human oversight so your agents actually run.
By simply defining your objective, the runtime compiles a strict, graph-based execution DAG that safely coordinates specialized agents to execute concurrent tasks in parallel.
✅ Multi-Agent Coordination for parallel task execution
✅ General Compute Use and Browser Use with Native Extension
Visit adenhq.com for complete documentation, examples, and guides.
Visit HoneyComb to see what jobs are being automated by AI.
It’s a stock market for jobs, driven by our community’s AI agent progress.
Hive is the multi-agent harness layer for teams moving AI agents from prototype to production.
04
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
06
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-05-15T13:44:11Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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