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Dingdawg Planning Agent

dingdawg/dingdawg-agent-1

This is a planning agent that estimates sprints, breaks down tasks, and flags risks while learning your team's velocity over time. The source repository shows it's actually part of ISG Agent 1, a governance-focused autonomous agent platform with constitution enforcement, adversarial self-testing, and cryptographic audit trails. The MCP server likely exposes planning capabilities from that larger system. You'd reach for this when you want AI-assisted sprint planning that adapts to your delivery patterns, though the documentation doesn't detail which specific planning operations are available through the MCP interface versus the full platform. The underlying system runs on Python 3.11+ with FastAPI and includes sandboxed skill execution.

auth
Secret needed
transport
STDIO
env var
1
last updated
Apr 9, 2026

Sponsors

Configuration

DINGDAWG_API_KEYsecret

API key for paid tier access — get free at dingdawg.com

Readme

DingDawg Agent 1

License: MIT Python 3.11+

Governance receipts for AI agents.

Every action a governed agent takes generates a cryptographically-signed receipt: what it decided, why, which model, which version, at what time. Built toward EU AI Act Art. 12, Colorado AI Act (SB 24-205), and NIST AI RMF requirements.

The receipt is what turns a policy document into evidence.

What's live today

CapabilityEndpoint
Developer signup — issues a scoped API keyPOST /v1/developers/signup
Governed execution — routes agent calls through metering + auditPOST /v1/govern/execute
Compliance classificationPOST /api/v1/compliance/classify
Regulation lookupGET /api/v1/compliance/regulations
Agent trust score + live streamGET /api/v1/agents/{id}/trust, WS .../trust/stream
Billing (Stripe)POST /api/v1/payments/create-checkout-session

View the full README on GitHub

Details

Repository
github.com/dingdawg/dingdawg-agent-1
Categories
AI & LLM Tools, Productivity & Office
Package
dingdawg-planning-agent
Transport
STDIO
Auth
Required
Registry
MCP registry, active

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