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AI AgentsUpdated from GitHub

Denis2054/Context-Engineering-for-Multi-Agent-Systems

Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.

28094Jupyter Notebook359d old

Summary

The available public data is mixed. More sustained activity or a broader contributor base would strengthen the score.

Denis2054/Context-Engineering-for-Multi-Agent-Systems recorded 78 commits in the past 30 days, has 2 public contributors, and has averaged 0.8 stars a day since launch.

72

Repository health

92

Maintainer track record

80

Repository quality

51

Catalyst Score

Contributors

Public track record

Denis Rothman GitHub avatar
Denis Rothman

@Denis2054 · Repository owner

92/100

Established maintainer with a long public history and active community.

714 followers14 public repos9y history676 contributions
14 public repositories714 followers9 years of public history
Rahul Limbachiya GitHub avatar
Rahul Limbachiya

@rahul-packt · Top contributor

41/100

This account has a limited public history, so the track-record score is less certain.

25 followers5 public repos5y history10 contributions
5 public repositories25 followers5 years of public history

Score breakdown

How the Catalyst Score was calculated

Star growth since launch+1
Fork growth since launch+1
Freshness+0
30-day commit activity+12
Contributor breadth+4
Maintainer track record+11
Topic activity+12
Repository quality+6
Topic novelty+7
Risk penalty3

Activity

Recent repository activity

78

Commits · 30d

2

Public contributors

0.8

Lifetime stars/day

0

Pull requests · 90d

Findings

What we found

78 commits in the last 30 days

2 public contributors

0 issues and 0 pull requests opened in 90 days

7 documentation and structure checks passed

Related repositories

agentic-ai · 2764 created in the past 30 days

Risk review

What needs watching

Contributor concentration is high

Public GitHub data cannot verify private work, employment claims, code security, or identity. Use the track-record score as research context, not proof of identity or trustworthiness.

Growth quality

Recent attention and maintainer concentration

Recent timestamps and contribution patterns help distinguish sustained adoption from a single headline number.

Contributor concentration

Top 2 public contributors

Top contributor share
99%
Top three share
100%
Contributors checked
2
Concentration
High

Shares use the contribution totals reported for the contributors checked, not private or unlinked activity.

Recent commit sample

Latest 100 commits

Unique authors
1
Verified commits
80%
Merge commits
0%
Median time between commits
3 min

Repository footprint

Default branch: main

Repository size
13.2 MB
Branches
1
Tags
0
Watchers
6
DiscussionsGitHub PagesIssue tracking

Deeper GitHub data

Delivery, collaboration, and project readiness

These metrics use the latest public records GitHub makes available for this repository.

Language composition

Share of detected source bytes

Jupyter Notebook78.8%
Python18.6%
HTML2.6%

Community readiness

GitHub community health 57%

README
License
Contributing guide
Code of conduct
Issue template
Pull request template

Issue health

Latest 1 issues

Closure rate
0%
Median close time
Not enough data
Open
1
Open without replies
1

CI reliability

Latest 50 workflow runs

Success rate
84%
Workflows represented
1
Failed runs
0
Median duration
0.7 min

Last checked

8/27/2026, 3:54:17 AM

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