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AI AgentsUpdated from GitHub

jikongabc/CogDoc

本地 RAG 知识库 —— 基于 LangGraph 的多智能体问答、结构化摘要、多论文对比分析,支持经过验证的引用溯源,以及采用 Rust 原生实现的混合搜索引擎。Local RAG knowledge base for research papers — LangGraph multi-agent QA, structured summaries, multi-paper comparison, with verified citations and a Rust-native hybrid search engine.

152Python91d old

Summary

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

jikongabc/CogDoc recorded 23 commits in the past 30 days, has 2 public contributors, and has averaged 0.2 stars a day since launch.

62

Repository health

39

Maintainer track record

97

Repository quality

41

Catalyst Score

Contributors

Public track record

jikong GitHub avatar
jikong

@jikongabc · Repository owner

39/100

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

7 followers12 public repos2y history175 contributions
12 public repositories7 followers2 years of public history
laoruizhi GitHub avatar
laoruizhi

@laoruizhi · Top contributor

15/100

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

2 followers1 public repos2y history5 contributions
1 public repositories2 followers2 years of public history

Score breakdown

How the Catalyst Score was calculated

Star growth since launch+0
Fork growth since launch+0
Freshness+2
30-day commit activity+10
Contributor breadth+4
Maintainer track record+5
Topic activity+4
Repository quality+8
Topic novelty+11
Risk penalty3

Activity

Recent repository activity

23

Commits · 30d

2

Public contributors

0.2

Lifetime stars/day

0

Pull requests · 90d

Findings

What we found

23 commits in the last 30 days

2 public contributors

0 issues and 0 pull requests opened in 90 days

12 documentation and structure checks passed

Related repositories

ai-agents · 0 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
97%
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
100%
Merge commits
0%
Median time between commits
1.3 hours

Repository footprint

Default branch: main

Repository size
20.9 MB
Branches
2
Tags
0
Watchers
2
DiscussionsWikiIssue 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

Python99.5%
Rust0.3%
Makefile0.2%
Dockerfile0%

Community readiness

GitHub community health 42%

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

Pull request health

Latest 3 pull requests

Merge rate
100%
Median merge time
0.0 hours
Open
0
Stale over 30 days
0

CI reliability

Latest 50 workflow runs

Success rate
80%
Workflows represented
2
Failed runs
10
Median duration
3.5 min

Last checked

8/25/2026, 11:13:53 PM

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