Developer Frameworks & Infrastructure
OpenViking
The open-source context database and knowledge engine for AI agents
Open sourceRuns on your device
Pricing
Open Source
Free
Platforms
macOS - Windows - Linux
Self-hosted or local
Category
Developer Frameworks & Infrastructure
142 tools
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0
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Last updated
Sep 28
Listing updated
Best for
Episodic and long-term agent memory storage
Persist agent interactions and user preferences across distinct sessions with automatic relevance scoring and temporal decay.
Pricing checked Sep 2026
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About OpenViking
OpenViking is a purpose-built context database engineered to solve the persistent memory bottleneck in autonomous AI agents. While generic vector databases index flat embedding collections, OpenViking models context as a multi-dimensional graph combining semantic vectors, hierarchical document nodes, temporal timestamps, and causal entity relationships.
This hybrid architecture enables agents to retrieve relevant information using both semantic similarity and relational traversals. Agents can recall past user preferences, trace multi-turn reasoning steps, and ground answers in structured enterprise knowledge with millisecond retrieval latencies.
- Unifies vector embeddings, relational graphs, and hierarchical documents
- Built specifically for agentic retrieval rather than generic text search
- Open source with self-hosted container deployments for strict data privacy
- Low query latency optimized for real-time agent decision loops
- Relatively new project with an evolving client library ecosystem
- Setting up optimal graph schemas requires database modeling experience
- Self-hosted clustering requires operational knowledge for high-availability setups
pip install openvikingOpen source Python library for automated code auditing and exploration.
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