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AI Memory & Knowledge🔴Developer
H

Hyperspell

Long-term memory and knowledge API for AI apps — user-scoped RAG with connectors, semantic + graph memory, and end-to-end auth handled for you.

Starting at$0
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In Plain English

Long-term memory and knowledge API for AI apps — user-scoped RAG with connectors, semantic + graph memory, and end-to-end auth handled for you.

OverviewFeaturesPricingUse CasesFAQ

Overview

Hyperspell is a hosted memory backend for AI applications that need to give each end-user persistent, cited context across conversations without engineering an entire RAG platform in-house. Developers hit a single API to ingest data — files, URLs, connector syncs from Google Drive, Notion, Gmail, Slack, GitHub — and Hyperspell handles chunking, embedding, storage, permissions, retrieval, and reranking. Because retrieval is scoped by user identity, an agent asking "what did I discuss with the customer last week?" only ever sees documents that user has permission to see. Hyperspell layers semantic search, keyword filters, temporal reasoning, and a lightweight knowledge graph so results stay accurate even as the corpus grows into millions of chunks. Its OAuth broker handles the auth dance for third-party sources, so end-users click "Connect Notion", and Hyperspell manages token refresh, incremental sync, and revocation on the app's behalf — saving weeks of connector engineering. SDKs are available in TypeScript and Python and integrate cleanly with LangChain, LlamaIndex, Vercel AI SDK, and OpenAI Agents SDK. Pricing includes a free developer tier, usage-based pro tiers, and enterprise contracts with SOC 2, VPC deployment, and BYO-vector-store options. Hyperspell exposes an MCP server so an agent host can attach a user's memory as a first-class tool.

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Key Features

User-scoped retrieval: every query carries a user_id and Hyperspell enforces per-user document access at the retrieval layer — so a support agent for User A can never leak documents belonging to User B, even when the underlying embeddings live in a shared index.+
Managed OAuth broker: instead of implementing OAuth 2.0, token refresh, and incremental sync for every source, apps get a hosted 'Connect X' flow. Hyperspell tracks source deltas, re-embeds changed chunks, and revokes access when users disconnect.+
Hybrid retrieval: results fuse semantic vectors, BM25 keyword matches, and a lightweight knowledge graph so queries like 'what did the sales team say about pricing changes last month' rank correctly instead of returning nearest-neighbor noise.+
Framework fit: because SDKs integrate with LangChain, LlamaIndex, Vercel AI SDK, and OpenAI Agents SDK, teams can drop Hyperspell into an existing agent as a Tool or retriever with a few lines of code.+

Pricing Plans

Free / Developer

$0

  • ✓Prototyping-friendly
  • ✓Low volume
  • ✓All connectors available
  • ✓TypeScript + Python SDKs

Pro

Usage-based

  • ✓Production traffic
  • ✓All connectors: Google Drive, Notion, Gmail, Slack, GitHub
  • ✓Semantic + graph + temporal search
  • ✓Reranking
  • ✓Higher rate limits

Enterprise

Contact sales

  • ✓SOC 2 Type II
  • ✓VPC deployment
  • ✓Bring-your-own vector store
  • ✓SSO / SAML
  • ✓Dedicated support
  • ✓MCP server access for internal agents
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Best Use Cases

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Personalized AI assistants with long-term per-user memory

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AI CRM / inbox tools that need per-user context

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Vertical copilots (legal, healthcare, education) with user-specific document corpora

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Prosumer apps offering 'connect your data' onboarding

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Agents needing a compliant memory tool exposed over MCP

Pros & Cons

✓ Pros

  • ✓Solves user-scoped permissions correctly — the hardest part of production RAG
  • ✓Managed OAuth broker eliminates weeks of per-connector integration work
  • ✓Hybrid retrieval (semantic + keyword + temporal + graph) beats naive vector search on real corpora
  • ✓Ships with SDKs and integrations for the frameworks teams already use
  • ✓MCP server lets Claude Desktop / Cursor treat a user's memory as a native tool

✗ Cons

  • ✗Hosted-only for smaller plans — self-hosting requires enterprise contracts
  • ✗Connector catalog focused on productivity SaaS (Google, Notion, Slack, GitHub); niche sources still need custom ingest
  • ✗Usage-based pricing can be hard to forecast for apps with variable end-user activity
  • ✗Newer than Pinecone / Weaviate ecosystems — smaller pool of community examples

Frequently Asked Questions

How much does Hyperspell cost?+

Hyperspell pricing starts at $0. They offer 3 pricing tiers.

What are the main features of Hyperspell?+

Hyperspell includes User-scoped RAG with row-level permissions, OAuth broker for Google Drive, Notion, Gmail, Slack, GitHub, Semantic + keyword + temporal + graph search and 4 other features. Long-term memory and knowledge API for AI apps — user-scoped RAG with connectors, semantic + graph memory, and end-to-end auth handled for you....

What are alternatives to Hyperspell?+

Popular alternatives to Hyperspell include [object Object], [object Object], [object Object], [object Object]. Each offers different features and pricing models.
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Quick Info

Category

AI Memory & Knowledge

Website

www.hyperspell.com
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