{"slug":"vertex-ai-memory-bank","name":"Vertex AI Memory Bank","owner":null,"repo":null,"category":"memory-context","lang":"","blurb":"Google Cloud's managed long-term memory for agents (Agent Engine) that uses Gemini to extract facts and preferences scoped per user.","use_cases":"[]","alternatives":[],"stars":0,"pushed_at":null,"synced_at":null,"kind":"api","one_liner":"Google Cloud's managed long-term memory for agents (Agent Engine) that uses Gemini to extract facts and preferences scoped per user.","website":"https://cloud.google.com/blog/products/ai-machine-learning/vertex-ai-memory-bank-in-public-preview","docs_url":"https://docs.cloud.google.com/agent-builder/agent-engine/memory-bank/overview","signup_url":"https://console.cloud.google.com","pricing_model":"usage-based","pricing_note":"GA; ~$0.25 per 1,000 stored session events or memories (from Jan 28, 2026)","auth_type":"oauth","agent_signup":"manual-only","agent_signup_note":"Requires a GCP project with service-account / Application Default Credentials (OAuth); human/IAM setup needed before an agent can call it.","mcp_server":"","sdks":["Python","Java","REST"],"code_sample":"","tags":["memory","agents","google-cloud","gemini","adk","enterprise"],"useCases":[],"codeSample":null,"oneLiner":"Google Cloud's managed long-term memory for agents (Agent Engine) that uses Gemini to extract facts and preferences scoped per user.","docsUrl":"https://docs.cloud.google.com/agent-builder/agent-engine/memory-bank/overview","signupUrl":"https://console.cloud.google.com","pricingModel":"usage-based","pricingNote":"GA; ~$0.25 per 1,000 stored session events or memories (from Jan 28, 2026)","authType":"oauth","agentSignup":"manual-only","agentSignupNote":"Requires a GCP project with service-account / Application Default Credentials (OAuth); human/IAM setup needed before an agent can call it.","mcpServer":""}