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lsdefine
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lsdefine/GenericAgent

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

Python ◇ ai-agent MIT
★14.4KSTARS
⑂1.7KFORKS
!202ISSUES
🏆#1,094GLOBAL RANK
🔥1DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

GenericAgent is GenericAgent is an open-source project written in Python: Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), lsdefine/GenericAgent has accumulated 14,374 GitHub stars and 1,665 forks. It is written in Python, licensed under MIT, and ranks #1,094 globally. It is actively maintained with the latest commit recorded on Oct 31, 2026.”
Repository lsdefine/GenericAgent ↗
Primary Category ai agent
Language & Stack Python
Software License MIT
Community Traction ★ 14.4K stars · ⑂ 1.7K forks · #1,094 globally
Maintenance ● Active (Last commit: Oct 31, 2026) · 202 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: 100/100 · Grade A+
✅
Is GenericAgent actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, GenericAgent is actively maintained. Continuous telemetry recorded the last code commit on Oct 31, 2026 (1 days ago). Supported by 14,374 stars and 1,665 community forks, this repository holds a calculated health index of 100/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 31, 2026
1 days since last push
Issue Backlog
202 Open Issues
Healthy Issue Cadence
Community Backing
1.7K Forks
14.4K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for lsdefine/GenericAgent
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Momentum

+359

STARS · LAST 30 DAYS

12

PER DAY

#179

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+84+359+1.1K
Per day121212
Forks gained+8+33+83

GenericAgent gained 359 stars in the last 30 days, about 12 a day, and now has 14.4K. It is about 1 year old and has averaged roughly 14.4K stars a year. It ranks #179 among Python repositories and #1,094 across all languages on GitHubRepo.

Trending Record

GenericAgent has maintained a continuous presence across global trending indexes, peaking at #6739. Below is the 30-day activity profile:

💡 Overview

GenericAgent is an open-source project written in Python: Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agent, automation, autonomous-agent. 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 GenericAgent

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

GenericAgent 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 GenericAgent.

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 GenericAgent using your package manager: `pip install GenericAgent`

2

Initialize your project workspace or configuration file for GenericAgent.

3

Import GenericAgent into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 14,374 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

lsdefine/GenericAgent is currently ranked #1,094 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,089 carla-simulator/carla C++ ★ 14.5K Compare ↗
#1,090 libretro/RetroArch C ★ 14.5K Compare ↗
#1,091 marko-js/marko JavaScript ★ 14.4K Compare ↗
#1,092 kopia/kopia Go ★ 14.4K Compare ↗
#1,093 Intervention/image PHP ★ 14.4K Compare ↗
#1,094 lsdefine/GenericAgent This Project Python ★ 14.4K
#1,095 coredns/coredns Go ★ 14.4K Compare ↗
#1,096 winsw/winsw C# ★ 14.3K Compare ↗
#1,097 gollum/gollum Ruby ★ 14.3K Compare ↗
#1,098 semaphoreui/semaphore Go ★ 14.3K Compare ↗
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Frequently Asked Questions

What does GenericAgent do? +

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

Is GenericAgent actively maintained in 2026? +

Yes, GenericAgent is actively maintained. The latest code push was recorded on Oct 31, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 100/100 (A+ rating) with 14,374 stars and 202 open issues.

What language is GenericAgent written in? +

The primary language is Python. Topics include: ai-agent, automation, autonomous-agent, browser-automation, claude.

How many stars does GenericAgent have? +

GenericAgent has 14,374 stars and 1,665 forks on GitHub.

How does GenericAgent rank among GitHub repositories? +

With 14,374 stars, lsdefine/GenericAgent is ranked #1,094 globally across all repositories tracked on GitHubRepo and #179 among Python projects.

What license is GenericAgent distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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