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Provides local AI memory controlled by the user, connecting with various models and imported notes.

Provides persistent memory for AI agents that survives across sessions with biologically inspired decay.

Provides durable shared memory for artificial intelligence agents to recall information by meaning across sessions and workflows.

Provides persistent long-term memory management for various AI agents locally.

Provides AI agents and apps with persistent memory of past user interactions. It improves agent intelligence and personalization by enabling continuous learning.

Provides persistent long-term memory for artificial intelligence agents by extracting and updating facts from conversations and documents.

Provides AI agents with persistent, structured memory and active context management. This aims to improve accuracy and reduce token costs during interactions. Assists with building AI agents that remember, learn, and…

Inspectable persistent memory infrastructure with scoped Postgres files, revisions, access logs, and background dreaming for multi-tenant artificial intelligence agents.

Provides durable, searchable memory infrastructure for AI agents using user-owned object storage.

Provides persistent memory for LLM agents using graph, vector, and relational retrieval.

Provides a long-term memory API for AI agents to track state changes, visibility, and origins.

An agent-native context layer enabling persistent memory, private context sharing, and collective knowledge for agents.

Provides a local-first memory layer for artificial intelligence agents using Markdown and SQLite.

Provides shared, verifiable memory that artificial intelligence agents can check and hand between each other.

Encrypted memory layer that carries approved context across AI assistants with user control.