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@atomicmemory/hermes-plugin
Advanced tools
AtomicMemory native Hermes memory provider — Python SDK-backed, cross-tool memory by default.
AtomicMemory is a native Hermes memory provider. It participates in Hermes' memory lifecycle: background recall is prefetched for the next turn, completed turns are synced without blocking the chat loop, and the agent gets explicit tools for searching and storing durable facts.
By default, recall is shared across every AtomicMemory tool the user
has touched (Claude Code, Codex, the web extension, etc.). Set
memory_scope=siloed to restrict Hermes to Hermes-ingested memories only.
Hermes Agent (Python)
→ $HERMES_HOME/plugins/atomicmemory/__init__.py
→ AtomicMemoryClient (Python protocol)
→ PythonSdkAtomicMemoryClient
→ published atomicmemory Python SDK MemoryClient
The Python provider owns Hermes lifecycle compatibility only — registration, hooks, tool schemas. Memory semantics flow through the published Python SDK.
ATOMICMEMORY_API_URLATOMICMEMORY_API_KEY when using the Core Quickstart or any protected serviceInstall the provider from the published npm package. The installer copies the Python provider files into Hermes' memory-provider directory; no repository clone is required.
npx -y @atomicmemory/hermes-plugin install
export ATOMICMEMORY_API_URL="http://127.0.0.1:17350"
export ATOMICMEMORY_API_KEY="local-dev-key"
Then select and verify the provider:
hermes memory setup
# select "atomicmemory"
hermes memory status
# confirm "atomicmemory" is active
For source development, symlink the checkout instead:
cd /path/to/atomicmemory
mkdir -p "$HERMES_HOME/plugins"
ln -s "$(pwd)/plugins/hermes" "$HERMES_HOME/plugins/atomicmemory"
Hermes' setup wizard prompts for a minimal pair (scope_user, memory_scope).
Advanced settings live in $HERMES_HOME/atomicmemory.json.
Connection details (ATOMICMEMORY_API_URL, ATOMICMEMORY_API_KEY) flow
through environment variables into the Python SDK. The provider does not
have a default API URL and fails to start if ATOMICMEMORY_API_URL is unset.
| Env var | Purpose |
|---|---|
ATOMICMEMORY_API_URL | AtomicMemory core URL. Required. |
ATOMICMEMORY_API_KEY | Bearer credential for the Core Quickstart service or any protected AtomicMemory core. |
ATOMICMEMORY_PROVIDER | SDK provider name. Defaults to atomicmemory. |
ATOMICMEMORY_SCOPE_USER | Hermes user identity. Defaults to $USER. |
ATOMICMEMORY_MEMORY_SCOPE | shared (default) or siloed. |
ATOMICMEMORY_MEMORY_MODE | hybrid (default), context, or tools. |
ATOMICMEMORY_PREFETCH_ENABLED | true/false. Default true. |
ATOMICMEMORY_PREFETCH_METHOD | context (default) or fast. |
ATOMICMEMORY_SEARCH_LIMIT | Default search/list limit. |
ATOMICMEMORY_TOKEN_BUDGET | Default context-package token budget. |
$HERMES_HOME/atomicmemory.json accepts these keys (all optional):
| Key | Description |
|---|---|
scope_user | User identity. |
scope_agent | Hermes prompt label (does not change scoping). |
memory_mode | hybrid / context / tools. |
memory_scope | shared / siloed. |
prefetch_enabled | bool. |
prefetch_method | context / fast. |
search_limit | int. |
token_budget | int. |
Secrets are never persisted here — api_key and api_url are deliberately
not in the allowed key set.
| Mode | Recall | Ingest |
|---|---|---|
shared (default) | All AtomicMemory memories for the user | stamped source_site=hermes |
siloed | Only Hermes-ingested memories | stamped source_site=hermes |
The source_site filter on recall is enforced through the Python SDK's
AtomicMemory namespace handle. If the SDK is configured against a
non-AtomicMemory provider (e.g. mem0), siloed mode fails loudly with
PROVIDER_UNSUPPORTED rather than silently dropping the filter.
memory_mode selects which Hermes surfaces AtomicMemory exposes:
| Mode | Auto-recall + sync | Explicit tools |
|---|---|---|
hybrid (default) | yes | yes |
context | yes | hidden |
tools | disabled | yes |
| Tool | Description |
|---|---|
atomicmemory_search | Search AtomicMemory by meaning. |
atomicmemory_context | Build an injection-ready context package. |
atomicmemory_conclude | Store one explicit durable fact verbatim. |
atomicmemory_profile | List recent records (description text varies by memory_scope). |
queue_prefetch(query) searches AtomicMemory in a background thread, with
a generation counter so a slow earlier prefetch can't overwrite a faster
newer one.prefetch(query) returns the most recent completed recall, then clears
the slot.sync_turn(user, assistant) enqueues the turn to a single-writer worker
thread and returns immediately. The worker calls
client.ingest_messages(...) with provenance.source = "hermes" and
provenance.sourceUrl = "hermes://session/<session_id>".on_session_end(messages) drains the worker, then closes the SDK client.A circuit breaker pauses SDK calls for two minutes after five consecutive failures and resets on the next success. Hermes continues to run while AtomicMemory is temporarily unavailable.
| Symptom | Likely cause |
|---|---|
Provider does not appear in hermes memory setup | Wrong install path. User-installed memory providers must live directly under $HERMES_HOME/plugins/<name>/ (the plugins/memory/ layout is for providers bundled inside hermes-agent itself). |
is_available() returns False | ATOMICMEMORY_API_URL unset, or the Hermes Python environment did not install the atomicmemory dependency from plugin.yaml. |
| Import fails at startup | The Hermes Python environment is missing the SDK dependency from plugin.yaml. |
Calls fail with PROVIDER_UNSUPPORTED while memory_scope=siloed | The configured SDK provider is not the AtomicMemory core (e.g. it's mem0). Either switch ATOMICMEMORY_PROVIDER=atomicmemory or move to memory_scope=shared. |
# Python provider and SDK adapter (deterministic, no network)
python3 -m unittest discover plugins/hermes/tests
FAQs
AtomicMemory native Hermes memory provider — Python SDK-backed, cross-tool memory by default.
The npm package @atomicmemory/hermes-plugin receives a total of 34 weekly downloads. As such, @atomicmemory/hermes-plugin popularity was classified as not popular.
We found that @atomicmemory/hermes-plugin demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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