Simplify AI Context with OpenViking
Create a context database for AI Agents like OpenClaw.
Integrate your AI Agent with a hierarchical context delivery system that adapts to changing needs.
OpenViking simplifies the management of AI Agent context, enabling self-evolving capabilities without manual setup or maintenance.
"A founder wants to build a chatbot that recommends courses based on a customer's job role. They create a context database with OpenViking to store information like the customer's employment history, job role, and recommended courses. After importing this data, their chatbot adapts its recommendations dynamically based on the customer's profile, providing a personalized experience without needing manual intervention."
Picking up when you're new to building conversational AI interfaces or integrating AI Agents with databases.
Reaching for when you need a high degree of customization and flexibility in AI Agent context management.
OpenViking might seem like a complex tool, but it simply streamlines the process of managing AI Agent context.
OpenViking unifies the management of context for AI agents through a file system paradigm, enabling hierarchical context delivery and self-evolving capabilities.
git clone https://github.com/volcengine/OpenViking.git- โขWhen building AI-powered applications that require complex context management
- โขWhen integrating multiple AI agents that need to share context and resources
- โขWhen developing self-evolving AI systems that require dynamic context updates
- 1Navigate to the cloned repository: `cd OpenViking`
- 2Build the OpenViking container: `docker build -t openviking .`
- 3Run the OpenViking container: `docker run -p 8080:8080 openviking`
- 4Create a new context directory: `mkdir my_context` and add context files to it
- 5Mount the context directory to the container: `docker run -v $(pwd)/my_context:/context -p 8080:8080 openviking`
Create a new context file `example.ctx` with the content `key=value` and run `curl -X PUT 'http://localhost:8080/context/example.ctx' -H 'Content-Type: text/plain' -d 'key=value'` to upload it to OpenViking
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Simplify AI Context with OpenViking is a very large Python project (~495k lines across 1909 code files, plus 860 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, AGPL-3.0 license, has a test suite.
- 1README.mdStart here โ what it does and how to install it
- 2openviking/__init__.pyInside openviking/ โ the main logic begins here
- 3examples/.agents/plugins/marketplace.jsonA worked example โ copy this to get going
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