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volcengine/OpenViking

Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

Python ◇ agent-memory AGPL-3.0
★38.9KSTARS
⑂3KFORKS
!693ISSUES
🏆#272GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for volcengine/OpenViking
CSV

Momentum

+972

STARS · LAST 30 DAYS

32

PER DAY

#62

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+224+972+2.9K
Per day323232
Forks gained+15+61+152

OpenViking gained 972 stars in the last 30 days, about 32 a day, and now has 38.9K. It is about 1 year old and has averaged roughly 38.9K stars a year. It ranks #62 among Python repositories and #272 across all languages on GitHubRepo.

Trending Record

OpenViking has maintained a continuous presence across global trending indexes, peaking at #79. Below is the 30-day activity profile:

💡 Overview

OpenViking is an open-source project written in Python: Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, agent-plugins, agentic-rag. 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 OpenViking

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

OpenViking 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 OpenViking.

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 OpenViking using your package manager: `pip install OpenViking`

2

Initialize your project workspace or configuration file for OpenViking.

3

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

4

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

👍 Strengths

Active community backing with 38,898 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.

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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

volcengine/OpenViking is currently ranked #272 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#267 pola-rs/polars Rust ★ 39.9K Compare ↗
#268 ajeetdsouza/zoxide Rust ★ 39.7K Compare ↗
#269 drawdb-io/drawdb JavaScript ★ 39.7K Compare ↗
#270 freeCodeCamp/devdocs Ruby ★ 39.5K Compare ↗
#271 DioxusLabs/dioxus Rust ★ 39.3K Compare ↗
#272 volcengine/OpenViking This Project Python ★ 38.9K
#273 preactjs/preact JavaScript ★ 38.9K Compare ↗
#274 lapce/lapce Rust ★ 38.9K Compare ↗
#275 xyflow/xyflow TypeScript ★ 38.5K Compare ↗
#276 dotnet/aspnetcore C# ★ 38.5K Compare ↗
#277 stanfordnlp/dspy Python ★ 38.4K Compare ↗

Frequently Asked Questions

What does OpenViking do? +

Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

What language is OpenViking written in? +

The primary language is Python. Topics include: agent-memory, agent-plugins, agentic-rag, context-database, dsh-plugin.

Is OpenViking actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 693 open issues being tracked.

How many stars does OpenViking have? +

OpenViking has 38,898 stars and 3,038 forks on GitHub.

How does OpenViking rank among GitHub repositories? +

With 38,898 stars, volcengine/OpenViking is ranked #272 globally across all repositories tracked on GitHubRepo and #62 among Python projects.

What license is OpenViking distributed under? +

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

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