Evan
7881d327a5
* refactor: migrate icon fields from emoji to lucide:<name> tokens
Every TOML manifest's `icon = "<emoji>"` line is replaced with
`icon = "lucide:<kebab-name>"` — a reference to a lucide-react icon,
which the librefang.ai site and dashboard render as crisp SVG. Reasons
for the switch:
- Emoji render very differently across OS/browser/font stacks; the
registry catalog looked inconsistent from one row to the next.
- Five manifests (clip / creator / linkedin / reddit / twitter) had
their icons stored as literal Python-style escape strings
("\\U0001F3AC") because the TOML parser upstream never decoded
them. Switching away from emoji drops that class of bug entirely.
- As a drive-by, also decode the \\uXXXX accent escapes in the
[i18n.fr] block of hands/creator/HAND.toml so "Créateur" shows
up correctly.
87 files touched. example manifests left untouched (still "TODO").
* fix: backfill i18n name + drop the single-member email category
- Every existing [i18n.<lang>] block now has a `name` field. 60 files
previously translated description but kept the English name
implicitly — which rendered as "some English some Chinese" in the
registry UI. Fill in the missing name from the English brand (or a
known localized equivalent: DingTalk→钉钉, Feishu→飞书, Email→
电子邮件 / メール / E-Mail / Correo / Courriel, and a handful of
hands that have Chinese product names like 视频剪辑 Hand).
- channels/email.toml was the only item under category="email";
reclassify it as "messaging" so the sub-category filter chip list
on the category page isn't littered with singletons.
* feat(i18n): localize 76 agents/integrations/plugins into 7 languages
Adds full [i18n.zh], [i18n.zh-TW], [i18n.ja], [i18n.ko], [i18n.de],
[i18n.es], [i18n.fr] blocks with name + description to every manifest
that previously shipped English-only.
Coverage:
- 32 agents (academic-researcher, analyst, architect, assistant,
code-reviewer, coder, customer-support, data-scientist, debugger,
devops-lead, doc-writer, email-assistant, health-tracker,
hello-world, home-automation, legal-assistant, meeting-assistant,
ops, orchestrator, personal-finance, planner, recipe-assistant,
recruiter, researcher, sales-assistant, security-auditor,
social-media, test-engineer, translator, travel-planner, tutor,
writer)
- 33 integrations (AWS, Azure, Bitbucket, Brave Search, Discord,
Dropbox, Elasticsearch, Exa Search, Fetch, Filesystem, GCP, Git,
GitHub, GitLab, Gmail, Google Calendar, Google Drive, Google Maps,
Jira, Linear, Memory, MongoDB, Notion, PostgreSQL, Puppeteer, Redis,
Sentry, Sequential Thinking, Slack, SQLite, Teams, Time, Todoist) —
brand names kept as-is across all locales, only descriptions
translated.
- 11 plugins (auto-summarizer, context-decay, conversation-logger,
episodic-memory, guardrails, keyword-memory, mempalace-indexer,
sentiment-tracker, todo-tracker, topic-memory, user-profile)
The descriptions are one-line summaries — hand-translated rather than
machine-generated, so technical terms (MCP, PR, CI/CD, etc.) stay
consistent across locales.
* feat(i18n): close remaining per-lang gaps for channels, workflows, devteam
Third pass on i18n coverage. Every non-example manifest now carries a
full set of [i18n.zh], [i18n.zh-TW], [i18n.ja], [i18n.ko], [i18n.de],
[i18n.es], [i18n.fr] blocks.
- 44 channel adapters: added French descriptions (zh/zh-TW/ja/ko/de/es
were already present). Brand names kept as-is in all locales so users
recognize Discord / Slack / LINE / etc. consistently.
- 22 workflows: filled zh-TW / ja / ko / de / es / fr blocks. Each
translation mirrors the existing zh one in structure and tone so the
catalog reads consistently across locales.
- hands/devteam/HAND.toml: added the four langs that were missing
(zh-TW, de, es, fr).
Only the 6 templates under examples/ are left without i18n blocks on
purpose — they still contain "TODO:" placeholders.
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:
- MCP dedup — skip if the agent already called
mcp_mempalace_add_drawerthis turn - Length — skip exchanges under
MEMPALACE_MIN_CHARS(default 80) - Relevance — English text must match keywords (decisions, appointments, contacts, etc.); non-English passes on length alone
- Content dedup — skip if a near-identical turn was already saved (SHA-256 hash store)
- 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.