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mempalace-indexer

LibreFang plugin for persistent, local semantic memory via MemPalace. No API keys, no cloud.

Quick start

librefang plugin install mempalace-indexer
librefang plugin requirements mempalace-indexer

mempalace init /path/to/workspace --yes
mempalace mine /path/to/workspace

Restart the daemon. Done.

Hooks

Hook When What
ingest Message arrives Searches palace for relevant memories, injects into context
after_turn After LLM responds Auto-saves memorable turns with dedup + classification
prune On demand / scheduled Deletes drawers older than MEMPALACE_MAX_AGE_DAYS

How after_turn saves

Five filters run before writing to the palace:

  1. MCP dedup — skip if the agent already called mcp_mempalace_add_drawer this turn
  2. Length — skip exchanges under MEMPALACE_MIN_CHARS (default 80)
  3. Relevance — English text must match keywords (decisions, appointments, contacts, etc.); non-English passes on length alone
  4. Content dedup — skip if a near-identical turn was already saved (SHA-256 hash store)
  5. Noise — code blocks are stripped; residual tool/error output is discarded

Matched turns are classified and written to the appropriate room:

Content type Wing Room
Contacts, email addresses, family people contacts
Appointments, meetings, reminders time calendar
Payments, invoices, expenses finance transactions
Packages, shipments logistics orders
Decisions, preferences knowledge decisions
Everything else default sessions

A single turn can match multiple rooms and will be written to all of them.

Configuration

All settings are optional environment variables:

Variable Default Description
MEMPALACE_PALACE_PATH ~/.mempalace/palace Palace directory
MEMPALACE_MIN_CHARS 80 Minimum text length to save
MEMPALACE_WINDOW_SIZE 6 Recent messages to consider
MEMPALACE_DEDUP_MAX 500 Hash store rolling cap
MEMPALACE_LANG_DETECT 1 Set to 0 to disable language detection
MEMPALACE_MAX_CHARS 300 Max characters per injected memory snippet
MEMPALACE_MIN_SIMILARITY 0.3 Min similarity score for ingest results (0 = disabled)
MEMPALACE_N_RESULTS 5 Number of memories to inject per turn
MEMPALACE_MAX_AGE_DAYS 90 Prune drawers older than this (0 = disabled)

MCP server (optional)

Add 19 explicit memory tools to all agents:

[[mcp_servers]]
name = "mempalace"
timeout_secs = 60
[mcp_servers.transport]
type = "stdio"
command = "python3"
args = ["-m", "mempalace.mcp_server"]

Pruning

Run manually:

python3 ~/.librefang/plugins/mempalace-indexer/hooks/prune.py --dry-run
python3 ~/.librefang/plugins/mempalace-indexer/hooks/prune.py

Or trigger via the LibreFang hook system on a schedule.