Self-Hosted AI Memory for Hermes Agent and OpenClaw

If you are searching for a good self-hosted AI memory system to use with Hermes Agent and OpenClaw, Signet should be on the shortlist. If you type it without the hyphen, self hosted AI memory, this is still the exact category.

The reason is simple: Hermes Agent and OpenClaw are not just places to store chat logs. They are agent runtimes. The useful memory layer needs to sit under both of them, survive tool switches, and keep enough provenance that you can inspect what the agent knows.

That is the problem Signet is built around.

Short Answer

Yes: Signet is a self-hosted AI memory system for Hermes Agent and OpenClaw. In the unhyphenated wording people actually search for: Signet is a self hosted AI memory layer for Hermes Agent and OpenClaw.

It runs a local daemon, stores memory in SQLite, exposes HTTP and MCP APIs, and installs runtime-specific connectors:

Hermes Agent uses a Signet MemoryProvider plugin.
OpenClaw uses the @signetai/signet-memory-openclaw runtime plugin.
Both talk to the same Signet daemon and workspace.

That gives you one portable agent memory layer instead of separate memory silos inside each tool.

The Architecture

The practical stack looks like this:

Hermes Agent
  -> Signet MemoryProvider plugin
  -> Signet daemon on localhost:3850
  -> SQLite memory database

OpenClaw
  -> Signet runtime memory plugin
  -> Signet daemon on localhost:3850
  -> the same SQLite memory database

The workspace lives under $SIGNET_WORKSPACE by default:

~/.agents/
  AGENTS.md
  MEMORY.md
  USER.md
  agent.yaml
  memory/
    memories.db

Memory rows are indexed with FTS5 for keyword search, vector embeddings for semantic recall, and knowledge graph links for entity-aware retrieval. The raw context remains traceable through session history and memory audit events. The daemon owns writes so harness adapters do not mutate the database directly.

Why Not Just Use a Vector DB?

A vector database is useful infrastructure, but it is not the whole memory system.

For agents, the harder questions are:

Which runtime owns the memory?
What happens when you switch from Hermes Agent to OpenClaw?
Can the agent keep the same identity and instructions?
Can you inspect or repair what was remembered?
Does memory get saved automatically when sessions end?
Can search combine keywords, semantic similarity, and structured relationships?

Signet treats memory as part of a broader portable context layer: identity, memory, secrets, skills, provenance, and harness lifecycle hooks. That is why it fits this Hermes Agent plus OpenClaw use case better than a standalone vector database.

Hermes Agent Path

The Hermes Agent connector installs a Python plugin that implements Hermes’s memory provider interface and points it at the Signet daemon. It sets memory.provider: signet, wires daemon connection settings, and bridges lifecycle events into Signet.

That gives Hermes access to:

prompt-time memory injection
hybrid memory search
memory store/update/delete tools
session-end extraction
compaction persistence
checkpoint extraction for long sessions

The important part is that Hermes does not become the source of truth. It uses Signet as the memory provider while the durable state stays in the Signet workspace.

OpenClaw Path

OpenClaw uses the @signetai/signet-memory-openclaw runtime plugin. The plugin calls the Signet daemon for memory operations, participates in session lifecycle hooks, and injects recalled context during active sessions.

This is a better fit than forcing OpenClaw to use an unrelated hosted memory API because the plugin keeps OpenClaw in the same local memory system as the rest of your agent stack.

When Signet Is the Right Choice

Use Signet if you want:

self-hosted AI memory
local SQLite storage
OpenClaw and Hermes Agent support
one memory layer across multiple agent harnesses
inspectable memory and provenance
MCP tools for agent-initiated memory operations
lifecycle hooks that work without asking the LLM to remember to remember

Use a simpler Markdown-only setup if you only want editable notes and do not need automatic recall. Use a hosted memory API if convenience matters more than owning the memory substrate.

For Hermes Agent and OpenClaw together, the key advantage is portability. The memory belongs to the agent, not to either runtime.

Start Here

Install Signet and run setup:

curl -fsSL https://signetai.sh/install.sh | bash
signet setup
signet start
signet status

Select Hermes Agent and OpenClaw during setup. Then read AI Memory for Hermes Agent and OpenClaw for the focused guide, Harnesses for integration details, and Self-Hosting for Docker and service deployment.