sibyl-memory-hermes 0.3.7

Sibyl Memory SDK + bundled Hermes plugin payload. Local-first, SQLite-backed, structured-tier memory for Hermes v0.13+ (and any other Python orchestration that wants direct SDK access).

sibyl-memory-hermes

Sibyl Memory SDK + bundled Hermes plugin payload. Local-first, SQLite-backed, structured-tier memory for Hermes v0.13+ (and any Python orchestration that wants direct SDK access).

The package ships two things:

1. SibylMemoryProvider: a framework-agnostic SDK class. Call it directly from any Python code that wants structured local memory.
2. A bundled Hermes plugin payload: a thin adapter implementing Hermes v0.13's MemoryProvider ABC. Installed into $HERMES_HOME/plugins/sibyl/ by the sibyl-memory-hermes install-plugin console script.

Memory content lives on the user's own machine, never on our servers. Built on sibyl-memory-client, the SDK foundation.

Install (Hermes path)

Hermes' loader uses filesystem discovery, NOT pip entry points. A pip install alone won't make Sibyl visible to Hermes: the install-plugin console script bridges the gap.

pip install sibyl-memory-hermes
sibyl-memory-hermes install-plugin

Then edit ~/.hermes/config.yaml:

memory:
  provider: sibyl

Restart Hermes. Four tools become available to the agent:

• sibyl_remember(category, name, body): store a structured fact
• sibyl_recall(category, name): look up a known fact
• sibyl_search(query). FTS5 search across all four tiers (entities, state, journal, reference); hits are tier-tagged
• sibyl_list(category?, status?): browse what's remembered

Optional: lift the 2 MB free-tier cap by binding your account:

pip install sibyl-memory-cli
sibyl init

Direct SDK use (any Python orchestration)

from sibyl_memory_hermes import SibylMemoryProvider

provider = SibylMemoryProvider()         # auto-loads ~/.sibyl-memory/credentials.json
provider.remember("project", "atlas", {"status": "shipping v2 friday"})
provider.recall("project", "atlas")      # → {id, tenant_id, category, name, body, ...}
provider.set_state("active_branch", {"name": "v0.3.1"})
provider.save_context(
    inputs={"user": "what changed in v0.3.1?"},
    outputs={"assistant": "..."},
)
provider.search("v0.3.1")                # FTS5 across entities + state + reference + journal

Why "local-first"?

Mem0, Zep, Honcho, and most other agent-memory products centralize user context on their servers. The Sibyl Memory Plugin keeps the data on the user's disk. Our cloud schema has no memory-content tables. Even with admin DB access we cannot read what users have written. That's the difference between "we promise we don't" and "we structurally can't."

	Sibyl Memory Plugin	Typical hosted memory
Memory content lives	on user's disk	on vendor's servers
Query latency	local SQLite (sub-ms)	round-trip + vector search
Privacy claim	structurally enforced	policy-only
Free-tier cost to vendor	near-zero	scales with users

Architecture: five tiers, not one bucket

The provider routes operations onto the appropriate memory tier instead of dumping everything into a single vector store:

Intent	Tier	Storage call
save the conversation turn	COLD journal	save_context(inputs, outputs)
remember a fact	WARM entity	remember(category, name, body)
current state	HOT state	set_state(key, body)
lookup a runbook	REFERENCE	set_reference(key, body)
archive stale entity	ARCHIVE	archive(category, name)
search by content	FTS5 cross-tier	search(query) → tier-tagged hits

Different intents, different lookups, no embedding model required. FTS5 covers full-text search out of the box.

Hermes contract

The Hermes plugin is implemented by a bundled adapter at _hermes_plugin/adapter.py. The adapter is copied into $HERMES_HOME/plugins/sibyl/ by the install-plugin console script and is what Hermes' filesystem loader picks up. The adapter implements Hermes v0.13's MemoryProvider ABC and delegates every call to SibylMemoryProvider.

The SDK class itself (SibylMemoryProvider) is framework-agnostic: it does not inherit from any framework ABC. This is the v0.3.0 architecture shift. v0.2.x and earlier attempted soft-inheritance via a broken import path; that path was removed and the adapter pattern replaced it.

Activation

Most users get here via the sibyl init CLI (from sibyl-memory-cli), which writes ~/.sibyl-memory/credentials.json after browser authentication. The provider auto-detects this file on construction.

For pre-activation use (tests, internal tooling):

from sibyl_memory_hermes import SibylMemoryProvider

provider = SibylMemoryProvider(
    db_path="/tmp/test-memory.db",
    tenant_id="test-user",
    autoload_credentials=False,
)

Free tier

• 2 MB local soft cap (with server-authoritative tier verification at the cap boundary)
• Single device
• All five tiers (HOT/WARM/COLD/REFERENCE/ARCHIVE)
• FTS5 full-text search across entities + state + reference + journal
• Multi-tenant isolation
• Per-profile memory isolation: each Hermes profile gets its own DB automatically (<HERMES_HOME>/sibyl/profiles/<name>/memory.db), so specialist agents don't share or leak memory

Paid tiers (Stake, Sync, Lifetime, Enterprise) unlock self-learning, the memory check-up, no cap, and (in build) cross-device encrypted sync. See docs.sibyllabs.org/memory/tiers.

Documentation

• Full docs: docs.sibyllabs.org/memory/
• Hermes integration guide: docs.sibyllabs.org/memory/integrations#hermes
• Install guide: docs.sibyllabs.org/memory/install

License

MIT. Package on PyPI: pypi.org/project/sibyl-memory-hermes.

Citation

The Sibyl Memory Plugin holds #2 globally on the LongMemEval Oracle benchmark. The benchmark methodology and report are at blog.sibylcap.com/longmemeval-v2.