OpenHarness

OpenHarness is an open source agent framework that gives you tool-use, skills, memory, and multi-agent coordination out of the box. It ships 43 built-in tools (file ops, shell, search, web, MCP) and a plugin system for extending them. MIT licensed, Python, designed to work with any LLM provider.

The architecture mirrors what you'd expect from a coding agent: an agent loop with streaming tool calls, context compression, persistent memory, and permission governance. Setup is a pip install. It's compatible with existing skill and plugin ecosystems, so you're not starting from zero on integrations.

For solo developers building agent prototypes, this covers the boring infrastructure so you can focus on the agent logic. Small teams get multi-agent coordination without rolling their own orchestration layer.

The catch: this is a research project from HKU, not a production-hardened framework. The ecosystem is young, documentation is thin, and you're betting on an academic team's long-term commitment. For production agent workloads, more established frameworks like LangGraph or CrewAI have deeper community support.