XiaoyaoClaw is a local-first desktop application platform: create AI bots in one window,
connect 9 major IM channels like Feishu, WeChat and Telegram, bring your own keys (BYOK) and switch models freely —
configuration, sessions and data all stay on your machine.
▣ Windows / macOS▣ Data stays local▣ 9 IM channels▣ 9 open-source skills
All configurations, sessions and states are stored in the local data directory — no cloud lock-in. Works offline; data sovereignty is fully yours — critical when handling internal docs and customer conversations.
OAuth-guided onboarding with real-time connection monitoring. Wherever your customers chat, your AI assistant is there — one bot, all channels online.
▣ CH: 9 PLATFORMS
C-03
Multi-Channel · Multi-Instance
MULTI-INSTANCE PER CHANNEL
Connect multiple Feishu apps and multiple Slack workspaces at once. Isolated by department or customer group, independently controlled, no interference — single-instance configs still supported.
▣ N × M TOPOLOGY
C-04
BYOK Model Management
OPENAI / ANTHROPIC / GOOGLE / …
Bring your own API keys to connect directly to model providers, or use the official hosted option. Bind model pools per bot and switch freely by cost and performance — budget under control.
▣ KEY: YOURS ONLY
C-05
Skill Hub ClawHub
SKILL MARKETPLACE
Install community skill packs with one command: office collaboration, dev & coding, creative media, research & analysis. The 9 official ecosystem skills below work out of the box.
▣ clawhub install
C-06
Session & History Management
SESSIONS & HISTORY
Filter conversation records by bot, channel and status. Markdown rendering and session reset supported. Every interaction is traceable and auditable.
▣ AUDITABLE
SEC. 02
Ecosystem Skill Components
9 open-source skills form a complete loop around the XiaoyaoClaw agent workspace: settle in → get work done → remember → audit → measure.
All MIT licensed, zero dependencies, dual-platform (Windows / macOS), installable via ClawHub with one command.
9 SKILLS / MIT ZERO-DEP / DUAL-OS
SK-01Foundation
XiaoyaoClaw Home
workspace-initializer
Give every agent a "home": 7 standard directories + WORKSPACE.md spec. No memory loss on restart, clean directories, no conflicting configs.
Directories as containers, PROGRESS.md as progress: sessions hand off cleanly, documents stay findable, history is traceable — pure file system, zero overhead.
▸ Two objects: tasks (short-term) + projects (long-term)
▸ Append-only progress log + dual-channel doc index
Dispatch in one sentence → parallel fan-out → transparent progress → summarized with sources → automatic retry on failure. Multiple always-on agents collaborate like a team.
▸ sessions_send targets always-on sessions with full persona + memory
Layered index navigation + progressive retrieval over local files (md / pdf / xlsx). No vector DB, no cloud calls — answers cite sources for verification.
▸ Drill down through the data_structure.md index tree
▸ Up to 5 iteration rounds, never load the whole file
Reads local session JSONL directly: how long each task took, which tool was slowest, how many tokens each model ate. Optimize agents with data, not vibes.
▸ Task duration / tool bottleneck / token bill
▸ Zero-dep, fully local; hook to cron for daily reports
Distill long conversations into structured memory: core entries go to MEMORY.md, daily entries to per-day logs. Incremental dedupe prevents bloat; sensitive info auto-skipped.
$ clawhub install xiaoyaoclaw-workspace-auditor
$ clawhub install xiaoyaoclaw-task-progress-tracker
$ clawhub install xiaoyaoclaw-agent-orchestrator
$ clawhub install xiaoyaoclaw-kb-retriever # …same for the rest; works on Windows / macOS
SEC. 03
Ecosystem Collaboration Loop
The 9 skills aren't isolated tools — they're a pipeline that wraps around the agent workspace:
STEP 1
Settle In
initializer
▸
STEP 2
Pick Up Task
tracker
▸
STEP 3
Collaborate
orchestrator
▸
STEP 4
Distill Memory
memory-distill
▸
STEP 5
Index Knowledge
clipper + kb
Settle Ininitializer
Pick Up Tasktracker
Collaborateorchestrator
Distill Memorymemory-distill
Index Knowledgeclipper + kb-retriever
LOOP · Audit
Auditor runs periodic read-only health checks on the entire workspace — messy directories, stalled tasks, broken memory chains — and delivers a graded report with fix suggestions.
LOOP · Metrics
Usage Report lays out duration, tool bottlenecks and token bills in plain numbers — quantify the payoff of every improvement.
LOOP · Command
Cross-tool Commander opens the whole system up to external agents like Claude Code / Codex — wherever you work, command from there.
SEC. 04 — SPEC SHEET
09
Ecosystem skills
09
IM channels
00
Cloud data dependency
02
Desktop platforms WIN / MAC
SEC. 05 — DEPLOY
Now, bring your AI assistant home.
Download the XiaoyaoClaw desktop client — three steps to set up: connect a channel → bind a model → install skills. All ecosystem skills are open-source (MIT) and freely composable.