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slavakurilyak/awesome-ai-agents

Awesome list of 300+ agentic AI resources

Go ◇ agent MIT
★2.4KSTARS
⑂611FORKS
!16ISSUES
🏆#4,566GLOBAL RANK
🔥31DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

awesome-ai-agents is awesome-ai-agents is an open-source project written in Go: Awesome list of 300+ agentic AI resources..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), slavakurilyak/awesome-ai-agents has accumulated 2,367 GitHub stars and 611 forks. It is written in Go, licensed under MIT, and ranks #4,566 globally. It is actively maintained with the latest commit recorded on Oct 4, 2026.”
Repository slavakurilyak/awesome-ai-agents ↗
Primary Category agent
Language & Stack Go
Software License MIT
Community Traction ★ 2.4K stars · ⑂ 611 forks · #4,566 globally
Maintenance ● Active (Last commit: Oct 4, 2026) · 16 open issues
Target Audience Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is awesome-ai-agents actively maintained in 2026?
Verdict: Actively Maintained

Yes, awesome-ai-agents is actively maintained. Continuous telemetry recorded the last code commit on Oct 4, 2026 (29 days ago). Supported by 2,367 stars and 611 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (29 days ago) and healthy issue cadence.

Commit Recency
Oct 4, 2026
29 days since last push
Issue Backlog
16 Open Issues
Healthy Issue Cadence
Community Backing
611 Forks
2.4K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for slavakurilyak/awesome-ai-agents
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Momentum

+93

STARS · LAST 30 DAYS

3

PER DAY

#592

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+0+93+270
Per day133
Forks gained+0+42+31

awesome-ai-agents gained 93 stars in the last 30 days, about 3 a day, and now has 2.4K. It is about 3 years old and has averaged roughly 789 stars a year. It ranks #592 among Go repositories and #4,566 across all languages on GitHubRepo.

Trending Record

awesome-ai-agents has maintained a continuous presence across global trending indexes, peaking at #314. Below is the 30-day activity profile:

💡 Overview

awesome-ai-agents is an open-source project written in Go: Awesome list of 300+ agentic AI resources.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agentic, agents. 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 Go 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
$ go install github.com/slavakurilyak/awesome-ai-agents@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

awesome-ai-agents coordinates its core functionality through a modular Go 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 awesome-ai-agents.

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 awesome-ai-agents using your package manager: `go install github.com/slavakurilyak/awesome-ai-agents@latest`

2

Initialize your project workspace or configuration file for awesome-ai-agents.

3

Import awesome-ai-agents into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `awesome-ai-agents --help` to verify successful setup.

👍 Strengths

Active community backing with 2,274 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Go 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 Go 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 Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

slavakurilyak/awesome-ai-agents is currently ranked #4,566 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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#4,566 slavakurilyak/awesome-ai-agents This Project Go ★ 2.4K
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Frequently Asked Questions

What does awesome-ai-agents do? +

Awesome list of 300+ agentic AI resources

Is awesome-ai-agents actively maintained in 2026? +

Yes, awesome-ai-agents is actively maintained. The latest code push was recorded on Oct 4, 2026 (29 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 2,367 stars and 16 open issues.

What language is awesome-ai-agents written in? +

The primary language is Go. Topics include: agent, agentic, agents.

How many stars does awesome-ai-agents have? +

awesome-ai-agents has 2,367 stars and 611 forks on GitHub.

How does awesome-ai-agents rank among GitHub repositories? +

With 2,367 stars, slavakurilyak/awesome-ai-agents is ranked #4,566 globally across all repositories tracked on GitHubRepo and #592 among Go projects.

What license is awesome-ai-agents distributed under? +

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

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