agent-systems-handbook — tool profile and history

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.

Active

Canonical source ↗

Language
MDX
Created
Last activity
Topics
  • a2a
  • agent-framework
  • agent-memory
  • agentic-ai
  • agentic-workflow
  • ai-agent
  • ai-agents
  • autonomous-agents
  • context-engineering
  • deep-research
  • developer-tools
  • generative-ai
  • langgraph
  • llm-agents
  • llm-applications
  • mcp
  • multi-agent-systems
  • prompt-engineering
  • rag
  • workflow-automation

Current measurement

316GitHub stars+3 (+0.96 %)
measured growth

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Reading history

90 days · 90 maximum readings
DateValueMetric
316GitHub stars
317GitHub stars
313GitHub stars
313GitHub stars
313GitHub stars
313GitHub stars
313GitHub stars
313GitHub stars
313GitHub stars
313GitHub stars
313GitHub stars
314GitHub stars
314GitHub stars
314GitHub stars
314GitHub stars
314GitHub stars
313GitHub stars
317GitHub stars
317GitHub stars

Classifications

Domains
Type
Agents
Use cases

These entries declare the same topics. No similarity is inferred: only the shared topics are stated.