Hyperspell

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Transform AI agents from 'clueless' to context-aware with Hyperspell's memory API. Build smarter, reliable AI that learns from all data. For developers.0
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What is Hyperspell?

Hyperspell is the essential context and memory layer API designed to elevate the performance of your AI agents. It directly addresses the critical challenge of agent statelessness by enabling them to recall, reason, and learn from every past interaction and data source. For developers, Hyperspell provides the infrastructure necessary to build smarter, more consistent, and truly context-aware AI products that perform reliably in real-world scenarios.

Key Features


Hyperspell transforms your AI agents from "clueless geniuses" into knowledgeable team members by providing instant, persistent context.

⚡ Instant Context with One-Line Integration

Integrate the Agentic Memory Network into your application in minutes, not months. Hyperspell provides pre-built components that handle user authentication and link management, allowing your users to connect their accounts (Slack, Gmail, Notion, Drive, etc.) instantly. This rapid connection means your agent immediately understands the people, projects, and core concepts relevant to the user's domain.

🧠 Continuous and Adaptive Learning

Just like human memory, Hyperspell's memory network improves and adapts with every query, conversation, and interaction. Relevant answers and successful retrievals reinforce the context for future queries, ensuring your agents deliver increasingly accurate and reliable results over time. This persistent memory is continuously indexed to build a bespoke knowledge graph.

📚 Comprehensive Data Ingestion (Any Document, Any Source)

Hyperspell processes thousands of documents and conversations across a wide array of data sources, building a robust, multi-faceted memory network. This includes everything from specific parts of a Slack thread or email to entire PDFs, Google Docs, and structured data. This comprehensive ingestion ensures your agent is grounded in all available user data.

⚙️ Grounded Generation and Context Engineering

Enrich your agent's prompts with real-time context derived from user data and interaction history. Hyperspell acts as an end-to-end retrieval solution, providing grounded answers. You can retrieve data in structured formats for UI display or as LLM-ready summaries, ensuring the agent’s output is precise, factual, and based entirely on connected data.

Use Cases


Hyperspell enables developers to deploy highly functional, data-powered AI agents that solve complex business problems.

  1. Building Context-Aware Internal Assistants: Deploy an AI agent that instantly answers complex questions by combining information across a user's entire digital workspace—emails, archived documents in Drive, recent Slack discussions, and Notion project plans. This eliminates siloed knowledge and reduces time spent searching for critical information.

  2. Accelerating Customer Onboarding and Support: Use Hyperspell to quickly connect a new customer's historical data and documentation. The AI agent can then provide personalized, accurate support and guidance from day one, leading to faster time-to-value and significantly accelerating the customer onboarding process.

  3. Real-Time Agentic Workflow Automation: Power sophisticated automation agents that can execute multi-step tasks requiring deep context. For example, an agent could analyze a new client brief (in Gmail), check related project files (in Drive), summarize previous meeting outcomes (in Slack), and then draft a contextualized next-step proposal, all within a single workflow.


Conclusion


Hyperspell provides the essential foundation for building reliable, intelligent, and deeply contextual AI agents. By offering a robust, secure, and continuously learning memory network through a simple API, you gain the power to deliver consistent, high-value AI interactions immediately. Explore how Hyperspell can accelerate your development timeline and unlock the full potential of your generative AI products.


More information on Hyperspell

Launched
2023-01
Pricing Model
Paid
Starting Price
Global Rank
3452774
Follow
Month Visit
5.7K
Tech used

Top 5 Countries

100%
United States

Traffic Sources

13.66%
1.33%
0.08%
5.19%
22.5%
57.23%
social paidReferrals mail referrals search direct
Source: Similarweb (Oct 16, 2025)
Hyperspell was manually vetted by our editorial team and was first featured on 2025-10-16.
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