Give Hermes Agent Long-Term Memory with Hindsight

Most AI agents forget everything the moment a session ends. Hermes Agent solves this by integrating natively with Hindsight, a powerful long-term memory system that retains, recalls, and reflects on past conversations automatically.

Setup is remarkably simple. Just run:

hermes memory setup

Select “Hindsight” as the provider. You can choose Cloud mode (paste an API key from ui.hindsight.vectorize.io), Local Embedded, or Local External. Within minutes, Hermes gains persistent memory across sessions, devices, and even different platforms.

Once connected, Hindsight works transparently:

• Before every reply it prefetches and injects relevant memories into the context.
• After every exchange it retains the conversation for future use.
• Optional tools (hindsight_recall, hindsight_retain, hindsight_reflect) give the agent explicit control when needed.

You can organize memory into banks (one per user, project, or customer) so context stays clean and focused. Hindsight stands out with strong performance on long-context memory benchmarks and supports hybrid, context-only, or tools-only modes.

Whether you’re building a personal assistant, sales research helper, coding agent, or multi-agent system, connecting Hermes to Hindsight turns a stateless chatbot into a truly stateful agent that remembers preferences, decisions, and project history without constant re-prompting.

Watch the full step-by-step connection guide and live demonstration here: