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About

Hyperspell is an end-to-end memory and context layer for AI agents that lets you build data-powered, context-aware applications without managing the underlying pipeline. It ingests data continuously from user-connected sources (e.g., drive, docs, chat, calendar), builds a bespoke memory graph, and maintains context so future queries are informed by past interactions. Hyperspell supports persistent memory, context engineering, and grounded generation, producing structured or LLM-ready summaries from the memory graph. It integrates with your choice of LLM while enforcing security standards and keeping data private and auditable. With one-line integration and pre-built components for authentication and data access, Hyperspell abstracts away the work of indexing, chunking, schema extraction, and memory updates. Over time, it “learns” from interactions; relevant answers reinforce context and improve future performance.

About

LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers, product teams, and infrastructure engineers wanting a tool to power conversational agents and advanced applications without building RAG pipelines from scratch

Audience

Enterprises and developers in need of a solution to connect custom data sources to large language models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Hyperspell
United States
www.hyperspell.com

Company Information

LlamaIndex
United States
www.llamaindex.ai/

Alternatives

Alternatives

LM-Kit.NET

LM-Kit.NET

LM-Kit
Papr

Papr

Papr.ai
MemMachine

MemMachine

MemVerge
LlamaCloud

LlamaCloud

LlamaIndex

Categories

Categories

Integrations

Notion
Slack
Amazon Bedrock AgentCore
Apify
Arize Phoenix
Cake AI
CodeQwen
Discord
Gmail
Layercode
LlamaCloud
Microsoft PowerPoint
NLSQL
OpenLIT
ScrapeGraphAI
Unity Catalog
Wordtune
YouTube

Integrations

Notion
Slack
Amazon Bedrock AgentCore
Apify
Arize Phoenix
Cake AI
CodeQwen
Discord
Gmail
Layercode
LlamaCloud
Microsoft PowerPoint
NLSQL
OpenLIT
ScrapeGraphAI
Unity Catalog
Wordtune
YouTube
Claim Hyperspell and update features and information
Claim Hyperspell and update features and information
Claim LlamaIndex and update features and information
Claim LlamaIndex and update features and information