mirror of
https://github.com/NousResearch/hermes-agent.git
synced 2026-07-31 19:16:29 +00:00
Make the desktop memory settings dynamic instead of hardcoded per
provider. The dropdown is now populated from discover_memory_providers()
(bundled + user-installed + pip) rather than a static enum, and each
provider's config panel is derived from its own get_config_schema() —
the same declaration `hermes memory setup` uses — so adding or porting a
provider is pure declaration with no bespoke UI, conditional, or
endpoint.
- memory_providers.py: reworked from a hand-written Hindsight registry
into a pure adapter (describe_provider + coerce_value) that normalizes
a provider's raw schema into typed fields — secret(+env), select,
boolean, typed text — carrying `when` conditionals, url, and required.
- MemoryProvider ABC: add optional read_current_config() (default {}),
the read-back mirror of save_config(). Ported mem0, hindsight, honcho,
holographic; the rest fall back to schema defaults safely.
- web_server GET/PUT /api/memory/providers/{name}/config now load the
live provider, derive its schema, write non-secrets via the provider's
own save_config() (each keeps its native storage), persist secrets to
the env store, and `when`-gate validation so hidden fields aren't
required or written. Secrets stay write-only (is_set only).
- ProviderConfigPanel: `when`-conditional visibility (handles Hindsight's
mode-gated duplicate keys), boolean toggle, and credential url links.
Dropdown driven by getMemoryStatus(); hardcoded enum removed.
Tests assert the mapping contract and endpoint behavior (schema
derivation, save-via-save_config, secret-never-returned, when-gating,
select rejection) against real bundled providers rather than a snapshot
of a hardcoded list.
|
||
|---|---|---|
| .. | ||
| __init__.py | ||
| holographic.py | ||
| plugin.yaml | ||
| README.md | ||
| retrieval.py | ||
| store.py | ||
Holographic Memory Provider
Local SQLite fact store with FTS5 search, trust scoring, entity resolution, and HRR-based compositional retrieval.
Requirements
None — uses SQLite (always available). NumPy optional for HRR algebra.
Setup
hermes memory setup # select "holographic"
Or manually:
hermes config set memory.provider holographic
Config
Config in config.yaml under plugins.hermes-memory-store:
| Key | Default | Description |
|---|---|---|
db_path |
$HERMES_HOME/memory_store.db |
SQLite database path |
auto_extract |
false |
Auto-extract facts at session end |
default_trust |
0.5 |
Default trust score for new facts |
hrr_dim |
1024 |
HRR vector dimensions |
Tools
| Tool | Description |
|---|---|
fact_store |
9 actions: add, search, probe, related, reason, contradict, update, remove, list |
fact_feedback |
Rate facts as helpful/unhelpful (trains trust scores) |