Give your AI agents persistent memory with a context graph ​ What is the Context Graph? The Context Graph is a persistent context graph that gives your AI agents memory across conversations. Without it, your agent forgets everything between sessions. With it, your agent can: Remember facts, decisions, preferences, and context across sessions Recall past information by searching the context graph Relate entities to each other (e.g. “John works at Acme Corp”) Invalidate outdated information when things change Each agent gets its own isolated context graph, so memories from one project don’t leak into another. ​ When to use it Your agent needs to recall past interactions or user preferences You want structured knowledge (entities + relationships) instead of flat text You need cross-session memory for coding assistants, support agents, or project tools You want to plug memory into any MCP-compatible client (Cursor, Claude, VS Code)