Where Maple AI OS Fits

Maple does not compete with frontier models or their native agent harnesses. OpenAI, Anthropic, and Google are expected to keep advancing intelligence, tools, sandboxes, and agent coordination. Maple provides the durable authority and continuity layer around those systems.

Complementary roles

| Layer | Strong providers and standards | Maple AI OS responsibility | | --- | --- | --- | | Intelligence | GPT, Claude, Gemini, Hermon, local models | Routing policy, fallback, quality gates, and model-independent state | | Tool access | MCP, native tools, enterprise APIs | Capabilities, scoped credentials, approval, budgets, and receipts | | Agent exchange | A2A, Wish, custom agents | Identity, scheduling, memory, health, delegation policy, and provenance | | Execution | Cloud, edge, local, regulated services | Deterministic authorization, consequence, rollback, and evidence |

The durable niche

Models change quickly. Agent identity, user-owned memory, permissions, policy history, audit evidence, and rollback state should not disappear when a provider changes. Maple AI OS owns that continuity.

Positioning statement

Use the best available intelligence. Keep operating authority in Maple.