Agent SDK and Runtime · Public

agentic-swmm-workflow

Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.

Agent SDKTool callsHandoffsTracingEvaluation boundaries

Best fitDevelopers building observable, testable, multi-tool agent applications.

Check whether this project matches your task before installing it.

What it can doAgent runtime preflights, tool permissions, state/handoff boundaries, trace acceptance, and evaluation checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot16 stars

8 forks · 4 contributors

Doramagic.ai Last verification date: 2026-07-04 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-07-04

What is agentic-swmm-workflow?

agentic-swmm-workflow is an Agent SDK or runtime for tool calls, state, handoffs, tracing, and evaluation boundaries.
Best fit: Developers building observable, testable, multi-tool agent applications.
Not for: Not for one prompt, simple API calls, or environments that cannot isolate tool permissions.
Capability added to an AI workflow: Agent runtime preflights, tool permissions, state/handoff boundaries, trace acceptance, and evaluation checks
First safe verification step: Verify one minimal agent loop with fake tools and temporary credentials first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/Zhonghao1995/agentic-swmm-workflow, https://github.com/Zhonghao1995/agentic-swmm-workflow#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers building observable, testable, multi-tool agent applications.

Match the project to your task before installing it.

CapabilityAgent runtime preflights, tool permissions, state/handoff boundaries, trace acceptance, and evaluation checks

Agent SDK project for checking tool calls, state, handoffs, traces, evaluation, and permission boundaries.

RepositoryZhonghao1995/agentic-swmm-workflow

16 stars · 8 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Project Overview and Goals

Related topics: Agent Runtime and Orchestration, Extensibility, Agent Runtimes, and Cross-Project Integration

Source: https://github.com/Zhonghao1995/agentic-swmm-workflow / Human Manual

Agent Runtime and Orchestration

Related topics: MCP Servers and Skill Layer, Operations, Workflows, and Common Failure Modes

Source: https://github.com/Zhonghao1995/agentic-swmm-workflow / Human Manual

MCP Servers and Skill Layer

Related topics: Agent Runtime and Orchestration, Extensibility, Agent Runtimes, and Cross-Project Integration

Source: https://github.com/Zhonghao1995/agentic-swmm-workflow / Human Manual

SWMM Build, Run, and Network Synthesis

Related topics: Calibration, Uncertainty, and Water Quality, GIS, Climate, Plot, Report, and Review Skills

Source: https://github.com/Zhonghao1995/agentic-swmm-workflow / Human Manual

Calibration, Uncertainty, and Water Quality

Related topics: SWMM Build, Run, and Network Synthesis, Modelling Memory and Learning Layer

Source: https://github.com/Zhonghao1995/agentic-swmm-workflow / Human Manual

Sources: https://github.com/Zhonghao1995/agentic-swmm-workflow, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars16 stars

Forks8 forks

Contributors4 contributors

Licenseunknown

Community Discussion Evidence

10 source-linked items

Review these external discussions before using agentic-swmm-workflow with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
v0.7.3
github / github_release
02
v0.7.2 — agent-reachable calibration & sensitivity, three new skills, de
github / github_release
03
v0.7.1
github / github_release
04
v0.7.0
github / github_release
05
v0.7.0a2
github / github_release
06
v0.7.0a1
github / github_release
07
v0.6.4 — Byte-reproducibility hardening
github / github_release
08
v0.6.3a1
github / github_release
09
v0.6.2a1
github / github_release
10
Installation risk requires verification
GitHub / issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

docker run --rm -v "$PWD/runs:/app/runs" ghcr.io/zhonghao1995/agentic-swmm-workflow:v0.7.4 acceptance

Official start command · https://github.com/Zhonghao1995/agentic-swmm-workflow#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

agentic-swmm-workflow Manual

Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integrating QGIS and EPA SWMM through the aiswmm runtime, reusable Skills, and MCP interfaces, with QA verification, provenance tracking, calibration support, and Codex, Hermes, Claude code as well as OpenClaw compatibility

Open the full manual

https://github.com/Zhonghao1995/agentic-swmm-workflow Project Manual
Table of Contents
Project Overview and Goals
Related Pages
Purpose and Scope
Core Capabilities
Architecture and Workflow
Release Lineage and Stability Guarantees

Project Overview and Goals

Related topics: Agent Runtime and Orchestration, Extensibility, Agent Runtimes, and Cross-Project Integration

Source: https://github.com/Zhonghao1995/agentic-swmm-workflow / Human Manual

Agent Runtime and Orchestration

Related topics: MCP Servers and Skill Layer, Operations, Workflows, and Common Failure Modes

Source: https://github.com/Zhonghao1995/agentic-swmm-workflow / Human Manual

MCP Servers and Skill Layer

Related topics: Agent Runtime and Orchestration, Extensibility, Agent Runtimes, and Cross-Project Integration

Source: https://github.com/Zhonghao1995/agentic-swmm-workflow / Human Manual

SWMM Build, Run, and Network Synthesis

Related topics: Calibration, Uncertainty, and Water Quality, GIS, Climate, Plot, Report, and Review Skills

Source: https://github.com/Zhonghao1995/agentic-swmm-workflow / Human Manual

Calibration, Uncertainty, and Water Quality

Related topics: SWMM Build, Run, and Network Synthesis, Modelling Memory and Learning Layer

Source: https://github.com/Zhonghao1995/agentic-swmm-workflow / Human Manual

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

medium

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Capability evidence risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

low

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

low

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.