Memory and context tools give agents persistence — long-term recall, user preferences, and knowledge that survives across sessions. The difference between a demo and a product is usually in this layer.
Manages agent skills and long-term memory as a layered data structure for persistent context.
Cross-vendor shared memory layer exposed as a remote MCP server at `memory.agentage.io/mcp` (Streamable HTTP, OAuth 2.1 + PKCE + DCR) that Claude, Cursor, and ChatGPT read and write as plain markdown you own.
Lightweight, embeddable vector store for building memory-augmented AI agents with fast semantic retrieval.
Knowledge engine for AI agent memory, set up in 6 lines of code with graph-based knowledge extraction.
Full-stack solution for agent memory covering extraction, vector search, and optimization.
Managed vector database with agent namespaces for multi-tenant isolation, hybrid search (vector + keyword), serverless auto-scaling, and $11B valuation.
AgentIndexed currently lists 6 memory & context, including Acontext, Agentage Memory, Chroma, cognee and more. Featured placements appear first, then all tools alphabetically.
Decide between managed memory services and self-hosted stores Check retrieval quality, not just storage features Look for privacy controls and per-user data isolation.
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