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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Engram is an advanced, fully managed service designed to enhance memory and context for AI agents, enabling them to retain, learn, and evolve effectively over time. Rather than accumulating an unmanageable collection of unstructured conversations and events, it meticulously transforms chaotic interaction data into well-organized, lasting, and adaptive memories. Applications can seamlessly transmit raw text, entire dialogues, or pre-processed facts via a REST API or Python SDK with no need for prior formatting. Engram then operates asynchronous processes that extract pertinent information, streamline it by removing duplicates and aligning it with existing knowledge, resulting in a refined memory state that does not interfere with the main operations of the application. It addresses inconsistencies, adjusts to evolving preferences and changing information over time, ensuring that the context remains both relevant and efficient. Additionally, agents have the capability to access prioritized memories instantly through vector similarity, BM25 keyword searches, or a combination of retrieval methods, thereby minimizing the necessity to resend complete conversation logs. This approach significantly enhances the efficiency and effectiveness of interactions, making AI agents more responsive and capable of understanding user needs.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Aider
Antigravity CLI
Claude
Claude Code
Claude Desktop
Codex CLI
Cursor
Factory Droid
Gemini CLI
GitHub Copilot CLI
Google Antigravity
Hermes Agent
Kimi Code
Kiro
OpenAI Codex
OpenClaw
Pi Agent
Python
TRAE
Weaviate

Integrations

Aider
Antigravity CLI
Claude
Claude Code
Claude Desktop
Codex CLI
Cursor
Factory Droid
Gemini CLI
GitHub Copilot CLI
Google Antigravity
Hermes Agent
Kimi Code
Kiro
OpenAI Codex
OpenClaw
Pi Agent
Python
TRAE
Weaviate

Pricing Details

$45 per month
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Weaviate

Founded

2019

Country

The Netherlands

Website

weaviate.io/product/engram

Vendor Details

Company Name

OpenViking

Founded

2026

Country

United States

Website

openviking.ai/

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Product Features

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