Memory & Context Infrastructure
Infrastructure that helps AI agents retain, update and reuse information across interactions. These systems manage persistent memory and assemble relevant context when an agent needs it.
- Companies
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Companies
- Cognee
Cognee builds an open-source AI memory platform and data layer that helps agents retain, update, and retrieve context across sessions using documents, relational data, and knowledge graphs.
- Graphlit
Graphlit is a developer-focused AI context layer that ingests multimodal data, extracts entities/relationships, and provides search and retrieval APIs so AI agents can use persistent, time-aware…
- Letta
Letta builds infrastructure for stateful AI agents, focused on persistent memory, context management, and agent runtimes that help models learn from experience over time.
- Mem0
Mem0 builds a persistent memory layer for AI agents and applications, letting developers store, retrieve, and update user context across sessions so systems can remember preferences, facts, and…
- past.dev
past.dev builds a memory API for AI agents that stores timestamped information and returns current facts with dated sources so agents can reuse context across sessions.
- Zep
Zep builds persistent memory and context infrastructure for AI agents, using temporal context graphs to retain, update, and retrieve information across chats, documents, events, and business data.
- Zeroset
Zeroset builds Nebula, a state and memory layer for AI agents that tracks workflow history, provenance, and current context for enterprise automation.