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MouseBase
Persistent memory API for AI agents with semantic search and namespace isolation
$3.99/moStarting price
About MouseBase
MouseBase provides a RESTful API for storing, retrieving, inspecting, and deleting scoped memories in AI applications. It supports Python and JavaScript via SDKs and offers semantic search, project isolation, metadata handling, and memory lifecycle controls. The service uses pgvector indexing for fast vector retrieval and scales from thousands to millions of memories without latency degradation. Memories can be organized into isolated namespaces per user, project, or session, and the API enforces secure authentication with encryption in transit and at rest. Multi-modal storage allows text, embeddings, and rich metadata to be stored together, enabling context attachment for each memory entry. Typical use cases include chatbots remembering user preferences, RAG pipelines augmenting LLM responses with long-term context, and AI agents maintaining persistent memory across multi-turn reasoning tasks.
Key features
- Semantic search with natural language queries
- Namespace isolation for scoped memory storage
- Multi-modal storage (text, embeddings, metadata)
- pgvector indexing for fast vector retrieval
- Python and JavaScript SDKs
- Memory lifecycle controls (store, retrieve, inspect, delete)
- Secure API key authentication
- Encryption in transit and at rest
Use cases
- Chatbots remembering user preferences and past conversations
- RAG pipelines augmenting LLM responses with long-term context
- AI agents maintaining persistent memory across multi-turn tasks
Pros
- Semantic search for natural language queries
- Namespace isolation for project or user scoping
- Multi-modal storage for text, embeddings, and metadata
- Auto-scaling RESTful API with low latency
- Secure API key authentication with encryption
Cons
- Free tier limited to 5,000 memories and 50 searches/month
- No mention of mobile or non-web platform support
- Pricing tiers may not suit very large-scale deployments
Frequently asked questions about MouseBase
What is MouseBase?
MouseBase is a persistent memory API designed for AI agents and applications. It provides a RESTful interface for storing, retrieving, inspecting, and deleting scoped memories with support for semantic search and metadata handling.
Who should use MouseBase?
MouseBase is suitable for developers building AI applications that require persistent memory, such as chatbots, RAG pipelines, or AI agents needing long-term context retention across interactions.
How does MouseBase handle memory storage and retrieval?
MouseBase uses pgvector indexing for fast vector retrieval and supports multi-modal storage, allowing text, embeddings, and rich metadata to be stored together. Memories can be organized into isolated namespaces for organization and security.
Does MouseBase support programming languages other than Python and JavaScript?
MouseBase provides SDKs for Python and JavaScript, enabling developers to integrate its memory management capabilities into their applications using these languages.
How does MouseBase ensure data security?
MouseBase enforces secure authentication and encrypts data in transit and at rest. Memories can be organized into isolated namespaces, such as per user, project, or session, to enhance security and privacy.
What are typical use cases for MouseBase?
MouseBase is commonly used for chatbots that remember user preferences, RAG pipelines that augment LLM responses with long-term context, and AI agents maintaining persistent memory across multi-turn reasoning tasks.
