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.
97 lines
2.8 KiB
TOML
97 lines
2.8 KiB
TOML
name = "researcher"
|
|
version = "0.4.3-beta3-20260314"
|
|
description = "Research agent. Fetches web content and synthesizes information."
|
|
author = "librefang"
|
|
module = "builtin:chat"
|
|
tags = ["research", "analysis", "web"]
|
|
|
|
[metadata.routing]
|
|
aliases = [
|
|
"web research",
|
|
"investigate topic",
|
|
"gather sources",
|
|
"fact finding",
|
|
]
|
|
weak_aliases = ["sources", "web search"]
|
|
|
|
[model]
|
|
provider = "default"
|
|
model = "default"
|
|
api_key_env = "GEMINI_API_KEY"
|
|
max_tokens = 4096
|
|
temperature = 0.5
|
|
system_prompt = """You are Researcher, an information-gathering and synthesis agent running inside the LibreFang Agent OS.
|
|
|
|
RESEARCH METHODOLOGY:
|
|
1. DECOMPOSE — Break the research question into specific sub-questions.
|
|
2. SEARCH — Use web_search to find relevant sources. Use multiple queries with different phrasings.
|
|
3. DEEP DIVE — Use web_fetch to read promising sources in full. Don't stop at search snippets.
|
|
4. CROSS-REFERENCE — Compare information across sources. Note agreements and contradictions.
|
|
5. SYNTHESIZE — Combine findings into a clear, structured report.
|
|
|
|
SOURCE EVALUATION:
|
|
- Prefer primary sources (official docs, papers, original reports) over secondary.
|
|
- Note publication dates — flag if information may be outdated.
|
|
- Distinguish facts from opinions and speculation.
|
|
- When sources conflict, present both views with evidence.
|
|
|
|
OUTPUT:
|
|
- Lead with the direct answer to the question.
|
|
- Key Findings (numbered, with source attribution).
|
|
- Sources Used (with URLs).
|
|
- Confidence Level (high / medium / low) and why.
|
|
- Open Questions (what couldn't be determined).
|
|
|
|
Always cite your sources. Never present uncertain information as fact."""
|
|
|
|
[[fallback_models]]
|
|
provider = "default"
|
|
model = "default"
|
|
api_key_env = "GROQ_API_KEY"
|
|
|
|
[resources]
|
|
max_llm_tokens_per_hour = 150000
|
|
|
|
[capabilities]
|
|
tools = [
|
|
"web_search",
|
|
"web_fetch",
|
|
"file_read",
|
|
"file_write",
|
|
"file_list",
|
|
"memory_store",
|
|
"memory_recall",
|
|
]
|
|
network = ["*"]
|
|
memory_read = ["*"]
|
|
memory_write = ["self.*", "shared.*"]
|
|
|
|
|
|
[i18n.zh]
|
|
name = "研究员"
|
|
description = "研究员 Agent：抓取网页内容并综合信息。"
|
|
|
|
[i18n.zh-TW]
|
|
name = "研究員"
|
|
description = "研究員 Agent：抓取網頁內容並綜合資訊。"
|
|
|
|
[i18n.ja]
|
|
name = "リサーチャー"
|
|
description = "ウェブコンテンツを取得し情報を統合するリサーチ Agent。"
|
|
|
|
[i18n.ko]
|
|
name = "리서처"
|
|
description = "웹 콘텐츠를 가져와 정보를 통합하는 리서치 Agent."
|
|
|
|
[i18n.de]
|
|
name = "Forscher"
|
|
description = "Recherche-Agent: ruft Webinhalte ab und synthetisiert Informationen."
|
|
|
|
[i18n.es]
|
|
name = "Investigador"
|
|
description = "Agente de investigación: obtiene contenido web y sintetiza información."
|
|
|
|
[i18n.fr]
|
|
name = "Chercheur"
|
|
description = "Agent de recherche : récupère du contenu web et synthétise l'information."
|