Pi, Hermes Make Harnesses Ownable
Omar Sanseviero argues that open-source agent harnesses are becoming as strategically important as open models, highlighting Pi and Hermes Agent as customizable foundations for coding, research, evaluation, and business workflows. The thread frames “harness engineering” as a core discipline for AI-native companies.
The next competitive layer is shifting from model access to control over the agent runtime that supplies context, tools, memory, permissions, and feedback.
- –Pi’s minimal, extensible design lets developers shape the workflow through skills, extensions, prompts, and packages rather than accept a fixed product architecture.
- –Hermes Agent pushes the opposite edge of the spectrum with persistent memory, self-generated skills, scheduled tasks, browser control, and long-running autonomy.
- –Open harnesses make model switching and self-hosting practical, reducing dependence on a single vendor’s interface, pricing, or product roadmap.
- –Custom harnesses are emerging across coding, evals, RL environments, research, design, and marketing, making orchestration a reusable engineering asset.
- –The hard problem is recursive improvement: models and harnesses must evolve together, with verification and safety controls preventing customization from becoming uncontrolled complexity.
DISCOVERED
2h ago
2026-08-22
PUBLISHED
4h ago
2026-08-22
RELEVANCE
AUTHOR
omarsar0