Memvid

Long-term memory layer for AI agents. Self-hostable.

Persistent memory store + retrieval pipeline for agent applications. Handles per-user/per-session/per-agent scope cleanly; pairs with OpenAI, Anthropic, and local models.

Temporal knowledge-graph memory for AI agents.

Memory layer that gives agents long-term context by building a temporal knowledge graph from chat history and business data, tracking how facts evolve over time. It's powered by Graphiti, Zep's Apache-2.0 open-source temporal graph engine, with Zep Cloud offering a managed, credit-based service on top. Used to keep agent context relevant as conversations and data grow.

Open-source memory for AI agents.

An open-source semantic memory layer for AI agents. Cognee ingests documents, relational data, and system context, then runs an Extract-Cognify-Load pipeline that uses an LLM to build a knowledge graph with embeddings and relationships. Agents query it for durable, cross-session context that captures how concepts connect. Self-host the Python SDK for free, or use the managed cloud tiers.

Memory API that gives any AI agent long-term recall.

Supermemory is a memory and context engine for AI apps. It ingests documents, chat histories, and connector data (Drive, Gmail, Notion), turns them into a searchable store, and serves relevant context back to agents over a single API. It works with any model and ships an MCP server alongside official SDKs.