Memori

Memori for Hermes Agent

Memori for Hermes Agent

Give Hermes persistent, structured memory that captures agent trace, tool activity, decisions, and outcomes across every session.

What is Hermes Agent?

Hermes Agent is a self-improving autonomous agent with a built-in learning loop that runs 24/7 on self-hosted infrastructure. It creates its own skills based on past experiences to build memory and automate workflows via messaging apps.

The gap with Hermes’ memory

Decisions disappear

Prior decisions and constraints disappear between sessions. Hermes rediscovers what it already knew.

Context buried in transcripts

Workflow state is scattered across long transcripts. Retrieving specific context means scanning the whole conversation.

Failures repeated

Without memory of what failed and why, Hermes retries the same broken approaches across sessions.

No project isolation

Cross-project work bleeds together and become noisy. Searches return irrelevant results from unrelated contexts.

Conversation-only memory

Standard memory captures what was said, not what was done. Tool calls, outcomes, and execution context are invisible.

No relationship reasoning

Hermes retrieves semantically similar text but cannot precisely connect related decisions, patterns, and constraints.

What Memori brings to Hermes Agents

Context that carries forward

Mention a preference once, share a decision, describe a constraint. Weeks later, Hermes picks up exactly where it left off.

Ready to give your Hermes Agent memory?

Install with just 3 commands. No migration needed.

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