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Topics: enterprise-ai

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2 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)

Language: Python
Topic: enterprise-ai
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1.harish-gaggar / mcp-server-gateway

MCP gateway & OAuth MCP servers. LangGraph agent: memory, eval/tracking, PII guard, context trimming. Docker quick start for enterprise agents.

agentic-ai
ai-agents
context-engineering
enterprise-ai
langgraph
llm-evaluation
+4 more

Python Other license588 total26 forks

+347 stars

from 199 · score 5.85

2.zj-unicom-ai / UniEmployee

面向企业的数字员工构建与运行平台：把专业员工的经验、流程与判断标准，固化为可随时上岗、可配置、可审批、可观测的 AI 数字员工。

ai-agent
ai-platform
digital-employee
enterprise-ai
human-in-the-loop
knowledge-graph
+8 more

Python MIT769 total23 forks

+224 stars

from 535 · score 5.42

Order: Attention Score

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before a repository's first Observation. A longer window needs more days of Observations first. A repository younger than the window is not ranked in it.

The filters narrow the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Category holds the repositories that its published rules match; see Categories.

Repositories enter the index from the Seed Dataset or by gaining stars faster than the published admission threshold, whatever their size. Admission is permanent, so an archived repository can still rank.

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