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FareedKhan-dev/all-agentic-architectures

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

Latest metrics (snapshot 2026-10-14)

stars4603
forks778
issues13
pushed_at2026-06-22T06:16:53Z

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
2026-10-144603

ADC Momentum: 28/100

ADC Momentum 28 Leaderboard

Growth velocity46
Consistency37
Recency0
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

description35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
urlhttps://github.com/FareedKhan-dev/all-agentic-architectures
languageJupyter Notebook
licenseMIT
topicsagentic-ai
ai-agents
langchain
langgraph
langsmith
llm
created_at2025-09-24T11:47:58Z
homepagehttps://fareedkhan-dev.github.io/all-agentic-architectures/

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