OpenHarness brings agent execution layer

The interesting part here is not “another agent framework,” it’s the explicit push to standardize the execution layer around models. That matters because the hard problems in autonomous agents are no longer prompting, but control, state, and safe tool use.

• –The harness abstraction cleanly separates reasoning from execution, which is the right way to build reliable agent systems.
• –Parallel tool execution, retries, and memory/persistence features address the failure modes that make demos look good but production agents brittle.
• –Permission modes and path/command rules make it more credible for real work than lightweight wrappers around an LLM API.
• –MCP support and provider abstraction lower integration friction, so teams can swap tools and backends without rewriting agent logic.
• –As an open-source project, it competes less with model vendors and more with the growing class of agent runtimes and orchestration frameworks.