Vectorizeio

Turn your unstructured data into perfectly optimized vector search indexes.

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Turn your unstructured data into perfectly optimized vector search indexes, purpose-built for retrieval augmented generation.

Vectorizeio provides agent memory that learns from experience, offering persistent, per-user context and fast recall for LLM agents.

for: Developers building LLM agents that need long-term, per-user memory and learning.
pricing: freemium · free trial
license: MIT

works withPython SDKREST API

Key features

6 features of Vectorizeio

Per-user persistent memory — Each user gets isolated context that survives across sessions.
Four parallel retrieval strategies — Dense, sparse, graph, and temporal search run together for comprehensive recall.
Reflection layer — Synthesizes experiences into reusable knowledge and patterns.
MCP server with REST and Python SDK — Standard API for retain, recall, and reflect operations.
Self-hosted open source — MIT-licensed Docker deployment with no usage limits.
Managed Hindsight Cloud — Pay-as-you-go token-based billing with automatic scaling and backups.

Personalized assistants that remember user preferences across weeks.
Customer support bots that learn from corrected responses to avoid repeat mistakes.
Multi-agent workflows where agents share learned context and preferences.
Complex task automation that requires temporal and relational memory retrieval.