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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

OpenViking is an open-source context database tailored for AI agents, utilizing a file-system architecture to streamline the management of memories, resources, and skills. Rather than viewing context as disjointed pieces in a fragmented vector store, OpenViking consolidates agent context into a virtual file system through the viking protocol, allowing agents to effectively store, navigate, retrieve, and observe the necessary information. This system is designed to alleviate the burdens of manual context management for developers, offering agents a simplified interaction model akin to file operations. Furthermore, OpenViking facilitates hierarchical context loading, semantic and recursive retrieval, session management, metrics tracking, and observability, enabling AI agents to efficiently access pertinent information without overwhelming prompts. By adopting this approach, developers can enhance the efficiency and effectiveness of their AI systems.

Description

Weaviate is an open-source vector database built for the AI era, giving teams one platform for vector search, retrieval-augmented generation, and agent memory. Store data objects together with embeddings from your preferred machine learning models and scale effortlessly to billions of objects. Import your own vectors or rely on Weaviate's built-in vectorization, then search across vector, keyword, and hybrid methods to get highly relevant results, even when filters are applied. By connecting to today's leading large language models, Weaviate helps you build grounded search and question-answering over your own data. The platform reaches well beyond storage: its Query Agent translates plain-language questions into accurate queries with citations, Engram delivers managed long-term memory for AI agents, and Weaviate Embeddings removes the work of running your own embedding pipeline. Available as self-hosted open source or fully managed Weaviate Cloud across AWS, GCP, and Azure, backed by SOC 2 Type II, native multi-tenancy, replication, and role-based access control. From semantic search to recommendation to fully agentic applications, Weaviate is the foundation to ship AI products faster.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
Cursor Yes 
Gemini CLI Yes 
Model Context Protocol (MCP) Yes 
Agno No 
Amazon Bedrock No 
Amazon Web Services (AWS) No 
Anyscale No 
Claude Desktop Yes 
Cleanlab No 
Comet No 
Dynamiq No 
Factory Droid Yes 
FriendliAI No 
GitHub Copilot No 
LlamaIndex No 
Mistral AI No 
Parallel No 
Semantic Kernel No 
Tadata No 

Integrations

Claude Code Yes 
Cursor Yes 
Gemini CLI Yes 
Model Context Protocol (MCP) Yes 
Agno Yes 
Amazon Bedrock Yes 
Amazon Web Services (AWS) Yes 
Anyscale Yes 
Claude Desktop No 
Cleanlab Yes 
Comet Yes 
Dynamiq Yes 
Factory Droid No 
FriendliAI Yes 
GitHub Copilot Yes 
LlamaIndex Yes 
Mistral AI Yes 
Parallel Yes 
Semantic Kernel Yes 
Tadata Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Open source (free); free Weaviate Cloud tier; paid Cloud plans from $45/mo.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

OpenViking

Founded

2026

Country

United States

Website

openviking.ai/

Vendor Details

Company Name

Weaviate

Founded

2019

Country

The Netherlands

Website

weaviate.io

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