DashClaw – policy and approval layer for unattended coding agents is a skill AI agent for To safely approve and monitor AI-generated code changes without interrupting the development workflow. Pricing: not stated on the product page. As of 2026-10-27, KanonAgent records 1 upvotes. First indexed by KanonAgent on 2026-09-07.
DashClaw provides a policy and approval layer for AI agents that write code without human supervision, ensuring safety, compliance, and auditability in software development.
1 upvotes
Tracked by Kanon since Sep 7, 2026
Status basis: npm_downloads_7d gained 79 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
📈 Timelinewhat changed, and when
- Accelerating npm_downloads_7d gained 79 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to 1 per 3d from 12 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 27 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 27 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 27 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 27 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Accelerating npm_downloads_7d gained 27 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -192 per 3d from 27 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -72 per 3d from 112 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -82 per 3d from 122 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 27 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -95 per 3d from 122 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 27 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -67 per 3d from 21 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -60 per 3d from 71 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 5 per 3d from 62 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 21 per 3d from 113 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 14 per 3d from 189 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 113 in the last 3d vs 34 in the 3d before (ratio 3.3x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 113 in the last 3d vs 34 in the 3d before (ratio 3.3x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 34 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- first observed Kanon started keeping permanent history for this agent
🔎 Known / Unknown
13 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | — | unknown | — |
| Pricing model | — | unknown | — |
| Integrations | openclaw,hermes,claude-code,codex,mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · skill
Job to be doneTo safely approve and monitor AI-generated code changes without interrupting the development workflow.
Who it is forEngineering teams that use AI for automated coding
Prerequisitesopen source · self-hostable
Integrationsopenclaw · hermes · claude-code · codex · mcp
Why it matters
It fills a critical gap by adding control and auditability to autonomous AI development, balancing speed with security.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“npx dashclaw up # no account, first caught action in minutes”— readme
“even when you are not at the keyboard”— readme
“Platform: Node 20+”— readme
“AI agent (OpenClaw, Hermes, Claude Code, Codex)”— readme
“policy and approval layer for unattended coding agents”— readme
Signal source: Show HN
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FAQ
What is DashClaw?
DashClaw provides a policy and approval layer for AI agents that write code without human supervision, ensuring safety, compliance, and auditability in software development.
What does DashClaw do?
To safely approve and monitor AI-generated code changes without interrupting the development workflow.
Why does DashClaw matter?
It fills a critical gap by adding control and auditability to autonomous AI development, balancing speed with security.
Is DashClaw open source?
Yes — DashClaw is open source.
Can I self-host DashClaw?
Yes — DashClaw can be self-hosted.
What does DashClaw integrate with?
openclaw,hermes,claude-code,codex,mcp
How popular is DashClaw?
As tracked by KanonAgent: 1 upvotes (first indexed 2026-09-07).
What are the best DashClaw alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, archify, open-design, deer-flow, ruflo.