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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
EverOS is a memory and skills infrastructure platform built to give AI agents persistent context across sessions, tools, and deployment environments. Before an agent makes a model call, EverOS retrieves relevant memories and supplies the context needed for the current task without requiring the full history to remain in the prompt window. Its memory engine is designed for low-latency retrieval and supports persistent context across multiple agents and platforms. EverOS also provides self-evolving procedural memory through a system that records completed tasks as cases and consolidates repeated successful patterns into reusable skills. These skills can be shared across an agent team so useful behaviors improve over time without requiring every workflow to be manually hardcoded. The platform supports multimodal ingestion for PDFs, images, documents, spreadsheets, slides, Markdown files, and URLs through a unified workflow. EverOS integrates with Claude Code, Codex, OpenClaw, Hermes, MCP servers, and software built against OpenAI- or Anthropic-compatible interfaces. Developers can use EverOS Cloud or run the open source Apache 2.0 stack on their own infrastructure while keeping memories portable through Markdown export. EverOS is intended for AI application developers, agent platform teams, and enterprises that need durable memory, cross-agent knowledge sharing, and efficient context retrieval.
API Access
Has API
API Access
Has API
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
EverMind
Country
United States
Website
evermind.ai/everos