Hermes Agent Memory: Long-Term Memory for Hermes (2026)

Hermes offers a native Supermemory provider intended to give agents persistent, cross-platform memory across channels such as Telegram, Discord, Slack, WhatsApp, Signal, and the CLI, addressing the limitations of large flat MEMORY.md files. After installation and API-key configuration, the provider automatically retrieves relevant context before conversations, captures cleaned turns after responses, ingests full sessions for richer updates, and supplies tools to save, search, forget, and retrieve profile information. Supermemory maintains evolving user profiles containing stable details and current priorities, supports separate memory containers for work, personal, and project contexts, and provides hybrid memory and document search, versioned updates, and deletion capabilities. It also preserves salient information before context-window compression, can mirror local MEMORY.md and USER.md files rather than replace them, and offers configurable recall, capture, search, and profile-refresh settings. The system can additionally be self-hosted through its MIT-licensed implementation so memory data can remain within an organization’s infrastructure.

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