What is GoodMem?

GoodMem is memory infrastructure for agentic AI. It connects your documents, knowledge bases, and history to any model's context window so agents retrieve the right context at the right time. It offers memory primitives, semantic search, pluggable embeddings, and enterprise-grade governance, and can be run fully managed on GoodMem Cloud or self-hosted behind your own firewall.

How to use GoodMem?

Start free on GoodMem Cloud with a 14-day trial (no credit card required), or self-host by running the install script: curl -s "https://get.goodmem.ai" | bash. Then use the multi-language SDKs (Python, TypeScript, Java, .NET, Go), CLI, or REST/gRPC APIs to store, embed, and retrieve memories, and wire memory operations into your agent workflows via agent hooks. A built-in web console launches automatically with the server for managing resources, uploading documents, and searching your knowledge base.

Core features of GoodMem

Memory Primitives: store, embed, and retrieve memories with semantic understanding and vector search
Intelligent Search: natural-language, context-aware semantic matching over memories
Agent Hooks: simple API calls to integrate memory operations into agent workflows
Vector Store: high-performance vector database with automatic embedding generation, hybrid search, and real-time indexing
Enterprise Security: TLS for REST and gRPC, instance/space roles, resource grants, scoped API keys, and logged retrieval
Multi-Agent Support: isolated and shared memory contexts with agent-specific namespaces and permissions
Developer Tools: multi-language SDKs, CLI, and HTTP REST and gRPC APIs
Document Ingestion & Visual RAG: per-page rendering of PDF, Word, PowerPoint, and Excel with page-level grounding for citations