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Rank #1924 · on radar since 2026-07-03

agent-systems-handbook

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.

Visit homepage ↗llm-applicationsdeveloper-toolsautonomous-agentsmulti-agent-systems+16GitHub

Momentum

42.2
24h7d

Why it's ranked

Every score decomposes into published factors — the same math for every tool, paid or not. Read the methodology →

Velocity (weighted, cohort-normalized)0.438
Signal decay0.995
Corroboration1.000
Quality gate1.000

Raw signals (30 days)

github · forks57 latest · 2 snapshots
github · stars324 latest · 2 snapshots