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Interloom

Turns expert workflow knowledge into lasting memory for AI agents.

Interloom captures how experts actually work and turns that workflow knowledge into lasting memory that AI agents can use. It announced a $16.5M seed round led by DN Capital in March 2026.

People

Stateful agents with memory, from the team behind MemGPT.

Letta (formerly MemGPT, out of UC Berkeley) builds an agent server with built-in memory, context management and state — letting agents persist, learn and be edited like files rather than living in a chat window.

$10M seed led by Felicis (2024)

The memory layer for AI apps and agents.

Mem0 (from the EmbedChain team) provides a managed + open-source memory layer that extracts, stores and retrieves user and entity memories across sessions — a standard building block for personalization.

Zep

Long-term memory for agents, built on temporal knowledge graphs.

Zep maintains durable, time-aware agent memory via its open-source Graphiti engine — facts, relationships and their history — so conversations and tasks can span sessions.

Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

Similar entries · 3

Sources

  1. Interloom seed announcement