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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.

★ 314
Stars
64 forks · 9 open issues
−1.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
20.6
Momentum / 100
see the breakdown below
6mo ago
Created
last push 22d ago

Star history

2026-10-10 315 → 314 stars -1 over 26 days 2026-11-05

How this score was built

ComponentWeightEarnedWhy
Velocity550.0 −1.0/wk, log-scaled against a 750/day ceiling
Acceleration150.0 needs 7-day and 30-day rates side by side
Freshness1513.4 last push 22d ago; decays to zero at 180 days
Scale157.2 314 stars, log-scaled against 150k — stops a 3-star repo topping the board
Momentum10020.6 sum of the above

Detail

Topicsa2aagent-frameworkagent-memoryagentic-aiagentic-workflowai-agentai-agentsautonomous-agentscontext-engineeringdeep-researchdeveloper-toolsgenerative-ailanggraphllm-agentsllm-applicationsmcpmulti-agent-systemsprompt-engineeringragworkflow-automation
Matched onAI Agents (autonomous-agents)
Short window+-1 stars over 7 days = -0.1/day
Long window+-1 stars over 26 days = 0.0/day
Lifetime average1.58 stars/day over 199 days
First seen here2026-10-11
Last read2d ago