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dsh-anchored-standard

dsh-anchored-standard is a workflow AI agent for To quickly set up a development workflow that starts with basic model alignment and scales into a full toolchain for consistent project execution. Pricing: Free. As of 2026-10-22, KanonAgent records 3.7k upvotes. First indexed by KanonAgent on 2026-08-15.
A two-phase AI workflow preset built on DeepSeek that guides users from minimal alignment to full toolchain integration for standardized project development.
dsh-anchored-standard — official preview image
3.7k upvotes
Tracked by Kanon since Aug 15, 2026
no signal yet
status
28/100
momentum · conf 0.83
61d
tracked since 2026-08-22
8
evidence records

No signal event on file yet — status is unknown, not "quiet".

📈 Timelinewhat changed, and when
🔎 Known / Unknown 11 of 23 fields unknown
Machine-callable— unknown —
Open source1 verified 1 quote(s)
Self-hostable1 inferred 1 quote(s)
Bring your own key1 inferred 1 quote(s)
Autonomy level2 inferred 2 quote(s)
Pricing model— unknown —
Integrations— unknown —

“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.

🤖 Agent teardown · workflow
Job to be doneTo quickly set up a development workflow that starts with basic model alignment and scales into a full toolchain for consistent project execution.
AutonomyL2 · tool-calling(evidence: "expose only the platform shell plus `read` on the first mode…")
Who it is forTeams and developers using AI for structured, repeatable software development projects.
Prerequisitesopen source · self-hostable · bring your own API key
PricingFree
Traction · why it is risingEarned 438 votes on Product Hunt, showing appeal for standardized AI tooling in development workflows.
Why it matters

It provides a reusable, step-by-step template for deploying complex AI workflows, lowering the barrier to entry for consistent agent-based development.

Evidence quotesverbatim, from the product’s own materials

“public GitHub repository (README fetched)”— structural
“Clone this repository, then copy the entire `preset` directory into the user preset root”— readme
“Developed and tested against: DeepSeek Harness `0.1.0-rc.5`”— readme
“DeepSeek Harness is currently a developer preview and explicitly permits breaking changes.”— readme
“expose only the platform shell plus `read` on the first model request.”— readme
“so resume and reload preserve it.”— readme
JavaScript
Signal source: GitHub
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FAQ

What is dsh-anchored-standard?

A two-phase AI workflow preset built on DeepSeek that guides users from minimal alignment to full toolchain integration for standardized project development.

What does dsh-anchored-standard do?

To quickly set up a development workflow that starts with basic model alignment and scales into a full toolchain for consistent project execution.

Why does dsh-anchored-standard matter?

It provides a reusable, step-by-step template for deploying complex AI workflows, lowering the barrier to entry for consistent agent-based development.

How much does dsh-anchored-standard cost?

Free

Is dsh-anchored-standard free?

Yes — dsh-anchored-standard has a free tier. Pricing as stated on its own page: Free

Is dsh-anchored-standard open source?

Yes — dsh-anchored-standard is open source.

Can I self-host dsh-anchored-standard?

Yes — dsh-anchored-standard can be self-hosted.

How popular is dsh-anchored-standard?

As tracked by KanonAgent: 3.7k upvotes (first indexed 2026-08-15).

What are the best dsh-anchored-standard alternatives?

Similar AI agents tracked by KanonAgent: AEO Engine, langchain, BIG, autogen, POST BRIDGE, nanobot.

dsh-anchored-standard alternatives — similar AI agents

AEO EnginelangchainBIGautogenPOST BRIDGEnanobot

Where this fits — browse the same shelf

AI Workflow Automation AgentsSelf-hosted & open-source AI agents