Deer Workflow AI Agent
by deerwork-aiAn open-source graph engineering runtime that keeps orchestration in TypeScript and delegates semantic work to replaceable Agent runtimes.
Deer Workflow is an open-source ai agent by deerwork-ai, written mainly in TypeScript, with 553 GitHub stars and the MIT license. Its code was last updated Aug 9, 2026.
Scan summary: scanned Nov 5, 2026 at commit b208230. No capabilities flagged by our checks. Scan policy
What Deer Workflow can touch
- Our checks did not find this. The tool may still do it.Run shell commandsNot seen in this scan
- Our checks did not find this. The tool may still do it.Run dynamic codeNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or write filesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read environment and secretsNot seen in this scan
- Our checks did not find this. The tool may still do it.Control a web browserNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to databasesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or send messagesNot seen in this scan
- Our checks did not find this. The tool may still do it.Touch money or tradingNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to the internetNot run in this scan
"Not seen" means our checks did not find it, and the tool may still do it. Covers commit b208230, Nov 5, 2026. See the scan policy.
Before you install Deer Workflow
AgenticMart scanned Deer Workflow on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What it can access
- An AI agent decides its own next steps and calls whatever tools you give it, so its risk depends on the access you grant.
Before you install
- Pin the version you reviewed instead of always installing the latest release.
- Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
- Maintained by deerwork-ai on GitHub, 553 stars and 58 forks. Popularity is not proof of safety.
- Last code change: Aug 9, 2026.
- Open-source license: MIT.
Deer Workflow is an open-source ai agent by deerwork-ai, written mainly in TypeScript. An open-source graph engineering runtime that keeps orchestration in TypeScript and delegates semantic work to replaceable Agent runtimes.
At a glance
- Stars
- 553
- Forks
- 58
- Language
- TypeScript
- License
- MIT
- Created
- Jul 2026
- Last update
- Aug 9, 2026
- Type
- AI Agent
- Price
- Free
Topics
Questions about Deer Workflow
What is Deer Workflow?
An open-source graph engineering runtime that keeps orchestration in TypeScript and delegates semantic work to replaceable Agent runtimes.
Who maintains Deer Workflow?
Deer Workflow is maintained by deerwork-ai on GitHub (deerwork-ai/deer-workflow). AgenticMart lists it from public repository data.
Is Deer Workflow safe to use?
AgenticMart scanned Deer Workflow on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What license does Deer Workflow use?
It is published under the MIT license.
Deer Workflow alternatives
View more →Similar ai agents in Productivity & Workflow, ranked by GitHub stars. Compare licence, recent activity and scan status before you choose.
| Name | Stars | Licence | Last updated | Scan |
|---|---|---|---|---|
| Deer Workflow (this page) deerwork-ai | 553 | MIT | Aug 9, 2026 | Scanned, no flagged issues |
| Paperclip paperclipai | 110k | MIT | Nov 1, 2026 | Scanned, no flagged issues |
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| Llama Index run-llama | 53k | MIT | Oct 26, 2026 | Scanned, see report |
| Nanobot HKUDS | 50k | MIT | Oct 31, 2026 | Scanned, no flagged issues |
| Sim simstudioai | 30k | Apache-2.0 | Nov 1, 2026 | Scanned, see report |