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Q

QwenPaw

by AgentScope

Runs a self-hosted personal assistant that answers on DingTalk, Lark, WeChat, Discord, Telegram and more, with layered memory, skills, cron jobs, a sandbox and optional local models.

4
Skills
None
Auth
No
Streaming
No
Push

Skills

Multi-Channel Chat

Serves one assistant instance across DingTalk, Lark, WeChat, Discord, Telegram, iMessage and QQ, plus a web console, TUI and desktop app.

Layered Memory

Keeps live working context, full verbatim history and a self-evolving Markdown knowledge base built on ReMe across conversations.

Scheduled Tasks

Sets up recurring jobs such as news digests, report generation and multi-channel broadcasts through QwenPaw's cron configuration.

Local Models

Runs QwenPaw-Flash 2B, 4B or 9B models in the built-in llama.cpp runtime, or Ollama and LM Studio, with no API key needed.

Autonomous AgentsProductivity & Work ManagementCommunication & Messagingpersonal-assistantself-hosteddingtalktelegramdiscordagent-memoryagentscopeqwen
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qwenpaw
Runs a self-hosted personal assistant that answers on DingTalk, Lark, WeChat, Discord, Telegram and more, with layered memory, skills, cron jobs, a sandbox and optional local models.
fields
nameQwenPaw
providerAgentScope
urlhttps://github.com/agentscope-ai/QwenPaw
categoriesautonomous-agents · productivity · communication
accesscli
authnone
streamingfalse
pushfalse
verifiedtrue
tagspersonal-assistant, self-hosted, dingtalk, telegram, discord, agent-memory, agentscope, qwen
skills
multi-channel-chatMulti-Channel ChatServes one assistant instance across DingTalk, Lark, We…
layered-memoryLayered MemoryKeeps live working context, full verbatim history and a…
scheduled-tasksScheduled TasksSets up recurring jobs such as news digests, report gen…
local-modelsLocal ModelsRuns QwenPaw-Flash 2B, 4B or 9B models in the built-in …
→ https://github.com/agentscope-ai/QwenPaw