Memori

Memori is an agent-native memory infrastructure that turns agent execution and conversation into structured state.

Memori is an agent-native memory infrastructure that turns agent execution and conversation into structured, persistent state for production systems. It captures chat turns and classifies them into facts, preferences, rules, and summaries. When a prompt needs context, the system pulls only what is relevant across conversations and documents. Every result includes explainable lineage so teams can trace relevance by entity, time, and source. It integrates into existing code with a drop-in SDK or proxy with zero configuration.

Memori at a glance

Best for: Software engineer
Runs on: API
Pricing: Open Source Free self-host; Cloud Free managed; Team $60K/year; Business $150K/year; Enterprise custom
Released: July 2025
Category: AI agent tool
Website: memorilabs.ai

Key features

Automatic memory capture and classification
Targeted and semantic search recall
Explainable results and lineage
Interactive memory graph
Analytics for recall usage and cache hit rate
Role-based access control
Data retention and deletion policies
Immutable audit logging

Use it for

Store persistent memory for AI agents
Reduce token usage and LLM costs
Trace relevance of retrieved context
Manage data retention and compliance

Alternatives to Memori

MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
Agentmemoryrepo — Enables agents to navigate memories like a wiki and share knowledge across sessions.
Adaptive Agent Memory Research — It decides what to remember based on measured future utility rather than query similarity.
Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
ReMe — It enables local-first, file-native long-term memory sharing across multiple AI agents.
Mem0 — It provides drop-in persistent memory for AI agents without changing pipelines.
memU — It gives every connected agent a shared and inspectable memory layer.
Tigerless Agent Memory — Maintains agent history in portable, greppable Markdown files without API keys.
AgentMemory — It runs locally with zero external databases and achieves high retrieval recall.
Caura — Governed memory providing persistent knowledge sharing for AI agent fleets.
Playground — Persists agent memory across sessions and searches by meaning.
MemMachine — Provides long-term persistent memory for LLM-based agents.

All Memori alternatives