hive vs harness-sdk
hive: Hive runs colonies of agents for business work: a long-lived queen agent pilots one unit of a task, saves the method as a skill, then fans the rest out to parallel workers that write results into a shared SQLite tracker. It ships persona queens, measured memory, in-process tools, MCP support and crash-safe state, and works with most LLM providers through LiteLLM.; harness-sdk: This monorepo holds the Strands Agents SDKs for Python and TypeScript plus Strands harness, a fully assembled agent created with one create_harness() call. It runs in your own process and covers the agent loop, tools, MCP, multi-agent patterns, memory, sessions, guardrails, tracing and evals across Bedrock, Anthropic, OpenAI, Gemini and other providers.
TL;DR
Research or data-collection jobs made of many similar units, such as checking dozens of companies
Replacing a hand-rolled agent loop with a maintained SDK
Side-by-Side Comparison
Features
Use Cases
Best For
FAQ
Deploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.