Hyperspell

Persistent cross-session memory for coding and enterprise AI agents.

Hyperspell provides memory infrastructure for AI agents, with a particular focus on coding agents and enterprise automation workflows that need to retain and recall information about codebases, processes, and prior interactions across sessions. Where most agent memory solutions address general conversational context, Hyperspell is specifically designed for the richer, more structured memory needs of agents that work with code — understanding repository structure, past decisions, patterns, and developer preferences — as well as enterprise agents that must remember workflows and organizational context over time. The platform offers a self-integrating SDK that minimizes the setup burden, and supports both cloud and self-hosted deployment for teams with data residency requirements. It differentiates through its specialization in the deep, durable memory that technical and enterprise agents need rather than short-term conversational recall.

Compliance

SOC 2

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Key Features

Persistent cross-session memory: Stores and retrieves agent memory across sessions, enabling agents to build cumulative understanding of a codebase or workflow rather than starting from scratch each time.
Codebase-aware memory: Maintains structured memory of repository content, code patterns, architectural decisions, and developer preferences — the specific context that makes coding agents meaningfully more effective over time.
Workflow and process memory: Supports enterprise agents that need to remember organizational workflows, process context, and operational history across interactions with different users and systems.
Self-integrating SDK: Provides an SDK designed to integrate with minimal configuration, reducing the setup overhead for development teams adding persistent memory to existing agent implementations.
Self-hosted deployment option: Available for self-hosting for teams that need full control over where agent memory data is stored, addressing data sovereignty and confidentiality requirements.
Multi-model compatibility: Works with agents built on multiple LLM providers, making it infrastructure-layer agnostic to the model stack in use.

Use Cases

For teams building coding agents with long-term codebase context: A team developing an AI coding agent that needs to understand a large, complex repository over many sessions uses Hyperspell to give the agent persistent memory of the codebase — past changes, architectural context, and developer preferences — rather than re-indexing from scratch each session.
For enterprise agents that need organizational memory: An enterprise automation agent that interacts with multiple departments and workflows uses Hyperspell to maintain memory of process context and past interactions, producing more relevant and consistent responses as it accumulates organizational knowledge.

Pricing MODELS

Usage-based

Pricing Summary

Hyperspell uses a usage-based pricing model with custom enterprise pricing for larger deployments. Specific pricing tiers are not publicly listed — teams review current documentation or contact the company for details.