Built something? We create video reels & spotlights for GitHub projects.Promote your project →
crow-hq
Home / Python / llm-wiki-v2

crow-hq/llm-wiki-v2

Turn your documents into a Markdown wiki you can read, that answers with citations. Works with any LLM provider, Ollama included. CROW classifier routing: 89% right note vs 62%, 2.1× faster ingest, 68% fewer tokens.

Python ◇ citations AGPL-3.0
★230STARS
⑂34FORKS
!5ISSUES
🏆#14,963GLOBAL RANK
🔥19DAYS TRENDING
🚀
Maintainer Growth Kit for llm-wiki-v2

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

⚡ Executive Summary & Quick Facts

Authoritative Source

llm-wiki-v2 is llm-wiki-v2 is an open-source project written in Python: LLM wiki on Google's Open Knowledge Format: Librarian, Researcher, CROW typed-classifier routing, web UI, local llm support..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), crow-hq/llm-wiki-v2 has accumulated 230 GitHub stars and 34 forks. It is written in Python, licensed under AGPL-3.0, and ranks #14,963 globally. It is actively maintained with the latest commit recorded on Oct 17, 2026.”
Repository crow-hq/llm-wiki-v2 ↗
Primary Category citations
Language & Stack Python
Software License AGPL-3.0
Community Traction ★ 230 stars · ⑂ 34 forks · #14,963 globally
Maintenance ● Active (Last commit: Oct 17, 2026) · 5 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is llm-wiki-v2 actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, llm-wiki-v2 is actively maintained. Continuous telemetry recorded the last code commit on Oct 17, 2026 (12 days ago). Supported by 230 stars and 34 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 17, 2026
12 days since last push
Issue Backlog
5 Open Issues
Healthy Issue Cadence
Community Backing
34 Forks
230 Stars Recorded
Software License
AGPL-3.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for crow-hq/llm-wiki-v2
CSV
⭐ VIRAL README KIT & BACKLINKS

Add Live Star History & Verified Badges to README.md

Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.

Open README on GitHub ↗
Option 1: Interactive Star History Chart Dynamic SVG

Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.

crow-hq/llm-wiki-v2 Star History Preview
markdown
[![Star History Chart](https://githubrepo.cloud/api/badge/chart/crow-hq/llm-wiki-v2.svg?theme=dark)](https://githubrepo.cloud/repo/crow-hq/llm-wiki-v2?utm_source=readme_chart)
Direct SVG Link ↗
Option 2: Verified Live Badges Suite Shields.io Style

Compact badges for your README header. Real-time stars, velocity, health audit, and rank.

Featured badge Stars badge Velocity badge Health badge Rank badge
markdown (all 5 badges)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/crow-hq/llm-wiki-v2.svg?metric=featured)](https://githubrepo.cloud/repo/crow-hq/llm-wiki-v2?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/crow-hq/llm-wiki-v2.svg?metric=stars)](https://githubrepo.cloud/repo/crow-hq/llm-wiki-v2?utm_source=readme_badge) [![GitHubRepo Velocity](https://githubrepo.cloud/badge/crow-hq/llm-wiki-v2.svg?metric=velocity)](https://githubrepo.cloud/repo/crow-hq/llm-wiki-v2?utm_source=readme_badge) [![Maintenance Health](https://githubrepo.cloud/badge/crow-hq/llm-wiki-v2.svg?metric=health)](https://githubrepo.cloud/repo/crow-hq/llm-wiki-v2?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/crow-hq/llm-wiki-v2.svg?metric=rank)](https://githubrepo.cloud/repo/crow-hq/llm-wiki-v2?utm_source=readme_badge)

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,916

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

llm-wiki-v2 gained 10 stars in the last 30 days, about 1 a day, and now has 230. It is about 1 year old and has averaged roughly 230 stars a year. It ranks #1,916 among Python repositories and #14,963 across all languages on GitHubRepo.

Trending Record

llm-wiki-v2 has maintained a continuous presence across global trending indexes, peaking at #326. Below is the 30-day activity profile:

💡 Overview

llm-wiki-v2 is an open-source project written in Python: LLM wiki on Google's Open Knowledge Format: Librarian, Researcher, CROW typed-classifier routing, web UI, local llm support.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install llm-wiki-v2

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

llm-wiki-v2 coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed llm-wiki-v2 into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open AGPL-3.0 license.

🚀 Getting Started

1

Install llm-wiki-v2 using your package manager: `pip install llm-wiki-v2`

2

Initialize your project workspace or configuration file for llm-wiki-v2.

3

Import llm-wiki-v2 into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `llm-wiki-v2 --help` to verify successful setup.

👍 Strengths

Active community backing with 102 GitHub stars and verified adoption.
Permissive open-source distribution under the AGPL-3.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

P
public-apis/public-apis ★ 485.9K Python

A collective list of free APIs

Compare ↗
F

:books: Freely available programming books

Compare ↗
P

Curated list of project-based tutorials

Compare ↗
H
NousResearch/hermes-agent ★ 257.2K Python

The agent that grows with you

Compare ↗

👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

crow-hq/llm-wiki-v2 is currently ranked #14,963 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#14,936 loadingalias/cargo-rail Rust ★ 231 Compare ↗
#14,936 TypeWhisper/typewhisper-win C# ★ 231 Compare ↗
#14,936 google-ai-edge/ml-drift C++ ★ 231 Compare ↗
#14,936 MillionSend/millionsend TypeScript ★ 231 Compare ↗
#14,936 swiftvm-app/swiftvm Swift ★ 231 Compare ↗
#14,963 crow-hq/llm-wiki-v2 This Project Python ★ 230
#14,963 ActiveCampaign/postmark-gem Ruby ★ 230 Compare ↗
#14,963 s4wave/goscript TypeScript ★ 230 Compare ↗
#14,963 flatcar/nebraska Go ★ 230 Compare ↗
#14,963 mesqueeb/vuex-easy-firestore JavaScript ★ 230 Compare ↗
#14,963 DevUnltd/js-library-boilerplate JavaScript ★ 230 Compare ↗
SPONSORED Trending Developer Tools & Services

Frequently Asked Questions

What does llm-wiki-v2 do? +

Turn your documents into a Markdown wiki you can read, that answers with citations. Works with any LLM provider, Ollama included. CROW classifier routing: 89% right note vs 62%, 2.1× faster ingest, 68% fewer tokens.

Is llm-wiki-v2 actively maintained in 2026? +

Yes, llm-wiki-v2 is actively maintained. The latest code push was recorded on Oct 17, 2026 (12 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 230 stars and 5 open issues.

What language is llm-wiki-v2 written in? +

The primary language is Python. Topics include: citations, knowledge-base, llm, llm-wiki, local-llm.

How many stars does llm-wiki-v2 have? +

llm-wiki-v2 has 230 stars and 34 forks on GitHub.

How does llm-wiki-v2 rank among GitHub repositories? +

With 230 stars, crow-hq/llm-wiki-v2 is ranked #14,963 globally across all repositories tracked on GitHubRepo and #1,916 among Python projects.

What license is llm-wiki-v2 distributed under? +

The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.

SPONSORED Sponsored Partner