QoderWake 1.2.12
An always-on desktop app of autonomous AI employees that work inside your IM chats
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FreeLicense
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About QoderWake
Autonomous AI employees, on the job. Embedded where you and your teammates already work, it starts the moment a need appears and carries the task through to delivery.
- A teammate in the IM chat — after a long thread, just @ it with "turn this into a plan", waker already knows what just happened.
- Autonomously start work on its own — IM messages, schedules, hook events, or API calls, any of these four can trigger it started.
- Multiple wakers, working together — one task, split across roles: they work in parallel, hand off as needed, and review each other — fully traceable.
Three underlying systems let them get real work done on the front line:
- Harness engineering for stable delivery — task state persists, failures recover, and critical steps come with verification and retry. Work spanning hours or days keeps moving toward the goal.
- Your first AI employee — every AI employee has a name, a role, an onboarding date, scoped permissions, and a traceable record. Review what it did and how well it delivered, just like any team member.
- Job skills continuously expand — the built-in role skill library supports custom skills, so digital employee capabilities extend continuously with your needs.
- Acts inside your existing workflows — it works right inside group chats, approvals, docs, sheets, and internal systems, never crossing its permission boundaries.
- Customize for each profession — systematically built for each role: skills, methods, and judgment. Not a generic model wearing a role-shaped prompt.
- Knowledge retention and continuous evolution — you can view, correct, or forget any memory, letting your digital employee forget faulty context. Every collaboration builds shared knowledge.
- Secure, governable, accountable — each role gets its own identity and least-privilege access; sensitive actions require approval and critical actions are fully logged, so automation never crosses your enterprise boundary.
License: Proprietary
- A teammate in the IM chat — after a long thread, just @ it with "turn this into a plan", waker already knows what just happened.
- Autonomously start work on its own — IM messages, schedules, hook events, or API calls, any of these four can trigger it started.
- Multiple wakers, working together — one task, split across roles: they work in parallel, hand off as needed, and review each other — fully traceable.
Three underlying systems let them get real work done on the front line:
- Harness engineering for stable delivery — task state persists, failures recover, and critical steps come with verification and retry. Work spanning hours or days keeps moving toward the goal.
- Your first AI employee — every AI employee has a name, a role, an onboarding date, scoped permissions, and a traceable record. Review what it did and how well it delivered, just like any team member.
- Job skills continuously expand — the built-in role skill library supports custom skills, so digital employee capabilities extend continuously with your needs.
- Acts inside your existing workflows — it works right inside group chats, approvals, docs, sheets, and internal systems, never crossing its permission boundaries.
- Customize for each profession — systematically built for each role: skills, methods, and judgment. Not a generic model wearing a role-shaped prompt.
- Knowledge retention and continuous evolution — you can view, correct, or forget any memory, letting your digital employee forget faulty context. Every collaboration builds shared knowledge.
- Secure, governable, accountable — each role gets its own identity and least-privilege access; sensitive actions require approval and critical actions are fully logged, so automation never crosses your enterprise boundary.
License: Proprietary
| Release info | Update on Nov 05, 2026 |
|---|---|
| Release notes | Conversation Performance and Update Improvements Improvements - Long Conversations: Improved typing and browsing performance in conversations with many tool calls, while preserving your reading position when reopening tool details. - App Updates: Clarified the download, preparation, and update-and-restart steps, and improved update downloads and resuming interrupted downloads on slow Windows connections. - Feishu Setup: After scanning to create a bot, you can continue with personal search authorization, reducing repeated setup when connecting users and group chats. - DingTalk File Delivery: DingTalk user channels can send files directly or deliver them as links. Link delivery remains the default. - Scheduled Responses: Each IM pairing now supports up to 15 scheduled rules, with clearer guidance when the limit is reached. - Automation History: You can now delete historical automation conversations without affecting the automation configuration or future scheduled runs. Bug Fixes - Fixed remote tasks potentially running more than once after recovering from a network disconnection. - Fixed WeCom replies remaining on the approval prompt after a pairing request was approved. - Fixed follow-up messages failing to start from the app after an IM group task was completed. - Fixed existing conversations being unable to access newly added local directories in a shared project. - Fixed duplicated content accumulating after some Skill updates. - Fixed long file names or paths causing upgrade backups to fail and preventing the app from starting. |
| Related tags | agent agent-team agentic ai automation |
| Listing data | winget |
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