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cognizant-ai-lab/neuro-san

Neuro AI System of Agent Networks

Python ◇ aaosa Apache-2.0
★161STARS
⑂57FORKS
!122ISSUES
🏆#18,832GLOBAL RANK
🔥12DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

neuro-san is neuro-san is an open-source project written in Python: Neuro AI System of Agent Networks..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), cognizant-ai-lab/neuro-san has accumulated 161 GitHub stars and 57 forks. It is written in Python, licensed under Apache-2.0, and ranks #18,832 globally. It is actively maintained with the latest commit recorded on Oct 21, 2026.”
Repository cognizant-ai-lab/neuro-san ↗
Primary Category aaosa
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 161 stars · ⑂ 57 forks · #18,832 globally
Maintenance ● Active (Last commit: Oct 21, 2026) · 122 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 neuro-san actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, neuro-san is actively maintained. Continuous telemetry recorded the last code commit on Oct 21, 2026 (13 days ago). Supported by 161 stars and 57 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 21, 2026
13 days since last push
Issue Backlog
122 Open Issues
Healthy Issue Cadence
Community Backing
57 Forks
161 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for cognizant-ai-lab/neuro-san
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,404

MOST-STARRED Python

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

neuro-san gained 10 stars in the last 30 days, about 1 a day, and now has 161. It is about 2 years old and has averaged roughly 81 stars a year. It ranks #2,404 among Python repositories and #18,832 across all languages on GitHubRepo.

Trending Record

neuro-san has maintained a continuous presence across global trending indexes, peaking at #15350. Below is the 30-day activity profile:

💡 Overview

neuro-san is an open-source project written in Python: Neuro AI System of Agent Networks.

Engineered for speed, consistency, and developer ease, it solves common hurdles in aaosa, agentic-ai, agentic-framework. 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 neuro-san

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

neuro-san 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with neuro-san.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install neuro-san using your package manager: `pip install neuro-san`

2

Initialize your project workspace or configuration file for neuro-san.

3

Import neuro-san into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `neuro-san --help` to verify successful setup.

👍 Strengths

Active community backing with 161 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 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

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👥 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

cognizant-ai-lab/neuro-san is currently ranked #18,832 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#18,761 mikeparcewski/wicked-studio TypeScript ★ 162 Compare ↗
#18,761 novapowers0/DBZ-Budokai-3-HD-Collection C++ ★ 162 Compare ↗
#18,761 Iman/caspian Go ★ 162 Compare ↗
#18,761 jdx/packslip Rust ★ 162 Compare ↗
#18,761 elripalda/RecompLauncher Rust ★ 162 Compare ↗
#18,832 cognizant-ai-lab/neuro-san This Project Python ★ 161
#18,832 luccastera/api-throttling Ruby ★ 161 Compare ↗
#18,832 futurechimp/enigmamachine Ruby ★ 161 Compare ↗
#18,832 calaos/calaos_base C++ ★ 161 Compare ↗
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Frequently Asked Questions

What does neuro-san do? +

Neuro AI System of Agent Networks

Is neuro-san actively maintained in 2026? +

Yes, neuro-san is actively maintained. The latest code push was recorded on Oct 21, 2026 (13 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 161 stars and 122 open issues.

What language is neuro-san written in? +

The primary language is Python. Topics include: aaosa, agentic-ai, agentic-framework, agents, ai.

How many stars does neuro-san have? +

neuro-san has 161 stars and 57 forks on GitHub.

How does neuro-san rank among GitHub repositories? +

With 161 stars, cognizant-ai-lab/neuro-san is ranked #18,832 globally across all repositories tracked on GitHubRepo and #2,404 among Python projects.

What license is neuro-san distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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