Prompthon-IO/agent-systems-handbook

Agent Systems Handbook by Prompthon — A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.

313
Stars
64
Forks
53.8
Radar Score
Rising
Momentum

Scoring Breakdown

Impact56.1
Velocity45.5
Health61.6

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
MDX

Why it ranks

Steady growth — consistently collecting stars and contributors.

AI Agents · task agentTop 34% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
94%
High Confidence
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
53.8
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

Share & Embed

Display live Radar metrics in your documentation, website, or social profiles.

View on GitHub