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NirDiamant/GenAI_Agents

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Latest metrics (snapshot 2026-10-14)

stars24587
forks4142
issues26
pushed_at2026-10-08T01:59:17Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1424587

ADC Momentum: 56/100

ADC Momentum 56 Leaderboard

Growth velocity68
Consistency55
Recency72
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

description50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
urlhttps://github.com/NirDiamant/GenAI_Agents
languageJupyter Notebook
licenseNOASSERTION
topicsagentic-ai
agents
ai
ai-agents
autonomous-agents
genai
generative-ai
langchain
langgraph
llm
llms
machine-learning
created_at2024-09-09T20:10:19Z
homepagehttps://diamant-ai.com

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