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Multi-model · cross-runtime · stable

One brain. Every runtime keeps its own model bill.

The same memory across Claude Code, OpenAI Codex (CLI and app) and Mistral Vibe today, with Hermes in alpha. Each runtime authenticates and pays for its own model; Hydrate is the local-first layer they share. Pin a fact in one and a fresh session in another recalls it, automatically in Claude Code and Codex and on demand everywhere else, without sending the conversation to any cloud Hydrate operates.

The wedge: every competitor is a single-runtime silo.

No other tool in the audited 2026-Q2 landscape demonstrates capture in one runtime and recall in another on a single machine without funnelling the conversation through a third-party hosted memory service. Because Hydrate is a layer rather than a runtime, an Author in one model family and a Critic in another can work over the same shared state, which is exactly what makes cross-model orchestration possible.

Runtimes today

The tiers are real, and we mark our own gaps. Claude Code and OpenAI Codex are the verified full auto-memory story: inject, capture and MCP all reach the model every session. Mistral Vibe is full through its fork. Copilot and the other MCP clients capture every session and serve recall on demand, but a host that withholds injected context means no automatic session-start recall there yet. Per-runtime evidence is in RUNTIME_INTEGRATION.md.