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hermes-agent/plugins/memory/holographic
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wernerhp cc84af9fad fix(memory): preserve genuine pre-delimiter content in merged compaction rows 
teknium1 review on #57690: harvesting logic was skipping the ENTIRE merged
row when a compaction summary was appended to the tail message, discarding
real prior user content that context_compressor retains before the
_MERGED_SUMMARY_DELIMITER. Extract and harvest that pre-delimiter segment
instead of dropping it wholesale.

Revert-to-fail: reverting plugins/memory/holographic/__init__.py alone
drops test_merged_into_tail_preserves_genuine_pre_delimiter_preference
(19 passed, 1 failed); restoring the fix returns 20/20 passed.
2026-07-22 06:59:14 -07:00
..
__init__.py fix(memory): preserve genuine pre-delimiter content in merged compaction rows 2026-07-22 06:59:14 -07:00
holographic.py feat(memory): pluggable memory provider interface with profile isolation, review fixes, and honcho CLI restoration (#4623) 2026-04-02 15:33:51 -07:00
plugin.yaml feat(memory): pluggable memory provider interface with profile isolation, review fixes, and honcho CLI restoration (#4623) 2026-04-02 15:33:51 -07:00
README.md feat(memory): pluggable memory provider interface with profile isolation, review fixes, and honcho CLI restoration (#4623) 2026-04-02 15:33:51 -07:00
retrieval.py fix(memory/holographic): sanitize FTS5 queries for natural-language recall 2026-06-30 15:55:11 -07:00
store.py fix(memory): resolve() the shared-connection registry key; symlink test 2026-07-09 18:17:40 -07:00

README.md

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)