How much does Hyperspell cost?

No public pricing retrieved; developer infrastructure product, likely usage priced, but terms are not documented publicly.

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Hyperspell

Q: Who is Hyperspell for?

AI agent developers, Startups building agentic products, Enterprises adding memory to internal agents

Also known as: Agentic Memory Network

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Agent infrastructureindependentVerified 2026-07-08

API based memory and context layer that connects company tools into a live context graph any AI agent can read from and write back to, with every fact traced to source.

Hyperspell provides a memory and context layer for AI agents, marketed as a company brain. Prebuilt connectors link user accounts such as Gmail, Slack, Notion, and Google Drive, and the platform continuously indexes documents and conversations into an Agentic Memory Network, a permissioned context graph of the people, projects, and concepts relevant to an agent.

Developers integrate through an SDK and API, with prebuilt components handling user authentication and continuous memory updates. Agents read from the graph like a filesystem and write back to it, retrieval returns structured results or LLM ready summaries, and memory reinforces with every query so agents improve over time. Customers can choose which LLM to use or bring their own.

Hyperspell is a Y Combinator company founded in 2024 by Conor Brennan-Burke and Manu Ebert, based in San Francisco with roughly eight employees, and has raised about two million dollars in seed funding per third party reporting. It is SOC 2 certified and GDPR compliant.

Vendor details

Canonical URL

https://www.hyperspell.com

Subcategory

Memory and context layer for AI agents

Funding status

Seed; about two million dollars raised per StartupHub reporting, seed round December 2025 per Crunchbase batch data; Y Combinator backed

Company status

independent

Use cases & customers

Primary use cases

Persistent memory for AI agentsGrounded retrieval over workspace dataContext aware personalizationEnd to end RAG without building pipelines

Target customers

AI agent developersStartups building agentic productsEnterprises adding memory to internal agents

Deployment options

SaaS

Integrations

Prebuilt connectors for Gmail, Slack, Notion, Google Drive and other workspace tools, with new integrations shipping weekly; SDK and API for embedding memory into any agent; works with the customer's choice of LLM.

In practice

A developer adds a memory layer to a support agent so it recalls each user's history, preferences, and prior conversations across sessions

A product team connects Gmail, Slack, and Notion so its agent answers questions grounded in company knowledge with every fact traced to source

An agent builder replaces a homegrown RAG pipeline with Hyperspell's knowledge graph retrieval, choosing its own LLM

Sources & related URLs

Research sources

https://hyperspell.com/ https://www.hyperspell.com/blog https://www.ycombinator.com/companies/hyperspell https://www.startuphub.ai/startups/hyperspell

Capability coverage

7.5 / 14 capabilities · 54%

Integrations & Tool CallingPrebuilt connectors for Gmail, Slack, Notion, Google Drive and other tools with new integrations shipping weekly, plus prebuilt components for user account linking and auth. hyperspell.com and YC page retrieved 2026-07-08.	Full
Workflow OrchestrationHyperspell is a memory and retrieval layer consumed by agents; no workflow orchestration capability documented. hyperspell.com retrieved 2026-07-08.	Unable to verify
Knowledge Grounding & RAGEnd to end retrieval over the knowledge graph with grounded answers from user data, structured results or LLM ready summaries, and every fact traced to source. hyperspell.com and YC page retrieved 2026-07-08.	Full
Human Oversight & GuardrailsNo human review or approval workflow documented; the permissioned graph is access control rather than oversight tooling. hyperspell.com retrieved 2026-07-08.	Unable to verify
Security, Identity & GovernanceSOC 2 certified, GDPR compliant, permissioned context graph, and managed authentication for user connected accounts. hyperspell.com, YC page, and extruct.ai profile retrieved 2026-07-08.	Full
Observability & AuditabilitySource level provenance is documented (every fact traced to source), supporting auditability of answers; broader monitoring and logging tooling is not documented. YC page and hyperspell.com retrieved 2026-07-08.	Partial
Memory & State PersistencePersistent memory is the core product: a continuously indexed memory graph that reinforces with every query and improves the agent over time. hyperspell.com retrieved 2026-07-08.	Full
Deployment & Data ResidencyCloud API service with GDPR compliance stated; self hosting or residency options not documented. hyperspell.com retrieved 2026-07-08.	Partial
Prebuilt Agents, Templates & PacksPrebuilt UI components for account linking and prebuilt connectors are documented; no prebuilt agents or templates beyond that. hyperspell.com retrieved 2026-07-08.	Partial
Triggers & Channel CoverageContinuous background indexing keeps memory fresh, but event triggers and channel coverage are not applicable capabilities documented for this layer. hyperspell.com retrieved 2026-07-08.	Unable to verify
Model Flexibility & RoutingCustomers choose which LLM to use or bring their own for grounded generation over the knowledge graph. hyperspell.com retrieved 2026-07-08.	Full
APIs, SDKs & MCP ExtensibilityThe product is an API and SDK: one line integration, developer components, agents read and write the graph programmatically. hyperspell.com and YC page retrieved 2026-07-08.	Full
Testing, Debugging & OptimizationNo testing, debugging, or evaluation tooling documented on retrieved pages. hyperspell.com retrieved 2026-07-08.	Unable to verify
Browser & Computer UseNo browser or computer use capability documented. hyperspell.com retrieved 2026-07-08.	Unable to verify

Recent platform changes

No recent material changes tracked yet.

View all changes for Hyperspell →

Pricing

Not public

Contact onlyMedium variable cost

What is public

Product capabilities, SOC 2 and GDPR posture, and integration approach are public; no commercial terms are.

Billing mechanics

Not publicly documented.

Cost watchouts

Continuous indexing of connected accounts implies volume based costs as data grows; verify metering axis before committing production workloads.

Variable cost rationale

Infrastructure of this type typically meters on documents indexed, queries, or storage, which scales with usage, but no billing axis is publicly documented so exposure is an estimate pending published terms.

Additional watchouts

Early stage (founded 2024, seed funded); packaging likely to change as the product matures.

Sales call required

Yes — required for paid access

Free / trial

No free tier or trial documented on retrieved pages

Key ambiguities

Billing axis and price points are entirely unpublished.

Missing data

All pricing figures, billing axis, free tier and trial terms.

Verified 2026-07-08

Data confidence: medium