* 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.
Hands
Hand definitions for LibreFang. Hands are pre-packaged capability bundles that compose agents, tools, skills, MCP servers, workflows, and plugins into a working application.
"You have many hands helping you."
Structure
hands/
├── devteam/
│ ├── HAND.toml # Hand definition
│ ├── SKILL-pm.md # Per-agent reference knowledge (PM)
│ ├── SKILL-engineer.md # Per-agent reference knowledge (Engineer)
│ └── SKILL-qa.md # Per-agent reference knowledge (QA)
├── browser/
│ ├── HAND.toml
│ └── SKILL.md # Shared reference knowledge (all agents)
└── ...
Composition Model
A hand composes registry resources — it doesn't reinvent them:
| Resource | How to compose | Example |
|---|---|---|
| Agent templates | base = "coder" on [agents.*] |
Inherit prompt, model config, fallbacks from agents/coder/agent.toml |
| Tools | tools = [...] at hand level |
All agents get these built-in tools |
| Skills | skills = [...] at hand level |
Skill allowlist (empty = all) |
| MCP servers | mcp_servers = [...] at hand level |
Agent interacts via MCP tools, not hardcoded API calls |
| Workflows | workflow_run tool in agent prompts |
Agent calls workflow_run bug-triage at runtime |
| Plugins | allowed_plugins = [...] at hand level |
Plugin allowlist (empty = all) |
| Per-agent skills | SKILL-{role}.md files |
Different reference knowledge per agent role |
| Per-agent capabilities | [agents.*.capabilities] |
Fine-grained shell/network/memory per agent |
HAND.toml Format
id = "hand-id"
name = "Hand Name"
description = "What this hand does"
category = "development"
icon = "🔧"
# ─── Resource composition ────────────────────────────────────
tools = ["shell_exec", "file_read", "web_fetch", "workflow_run"]
mcp_servers = ["github", "sentry"]
skills = [] # empty = all
allowed_plugins = ["todo-tracker"]
# ─── Requirements ────────────────────────────────────────────
[[requires]]
key = "git"
requirement_type = "binary"
check_value = "git"
# ─── Settings ────────────────────────────────────────────────
[[settings]]
key = "repo_url"
setting_type = "text"
default = ""
# ─── Agents ──────────────────────────────────────────────────
# Multi-agent with base template inheritance:
[agents.main]
coordinator = true
base = "planner" # inherits from agents/planner/agent.toml
invoke_hint = "Task coordination"
[agents.main.model]
system_prompt = """Custom prompt for this hand..."""
[agents.main.capabilities]
shell = ["gh *", "git *"] # preserved by kernel (not overwritten)
# Single-agent (legacy):
# [agent]
# name = "my-agent"
# system_prompt = """..."""
# ─── Routing ─────────────────────────────────────────────────
[routing]
aliases = ["activate phrases"]
weak_aliases = ["keyword hints"]
# ─── Dashboard ───────────────────────────────────────────────
[dashboard]
[[dashboard.metrics]]
label = "Tasks Done"
memory_key = "metric_key"
format = "number"
# ─── i18n ────────────────────────────────────────────────────
[i18n.zh]
name = "中文名"
description = "中文描述"
Current Hands (15)
| Hand | Category | Agents | Description |
|---|---|---|---|
| analytics | data | multi | Data analytics, visualization, and automated reporting |
| apitester | development | single | API testing, endpoint discovery, and load testing |
| browser | productivity | single | Web navigation, form filling, and multi-step web tasks |
| clip | content | multi | Long-form video to short clips with captions |
| collector | data | multi | Intelligence collection and change detection |
| devteam | development | multi | Autonomous dev team — PM + Engineer + QA with base templates |
| devops | development | multi | CI/CD management, monitoring, and incident response |
| lead | data | multi | Lead generation, enrichment, and scoring |
| communication | multi | LinkedIn content creation and networking | |
| predictor | data | single | Signal collection and calibrated predictions |
| communication | multi | Subreddit monitoring and content posting | |
| researcher | productivity | multi | Deep research, fact-checking, and reports |
| strategist | productivity | multi | Market research and competitive analysis |
| trader | data | multi | Market intelligence and risk management |
| communication | multi | Twitter/X content creation and scheduling |
Adding a New Hand
- Create
hands/<name>/HAND.toml - Add
SKILL.md(shared) orSKILL-{role}.md(per-agent) for reference knowledge - Use
base = "agent-name"to inherit from existing agent templates inagents/ - Set
mcp_servers,skills,allowed_pluginsfor resource composition - Ensure
idmatches the directory name - Submit a PR
See CONTRIBUTING.md for the full guide.