Maximem

Maximem is an AI memory and context management infrastructure that gives agents persistent memory and reduces token costs.

Maximem provides memory infrastructure and context management for AI agents and power users. It features Synap for organizations and development teams to build agents that remember and learn, and Vity as a secure personal context layer. The platform uses a vector, graph, and file store to extract and store meaning asynchronously. It supports REST and WebSocket APIs, webhooks, and event streams. Benchmarks show high accuracy on LongMemEval and LoCoMo.

Maximem at a glance

Best for: Software engineer
Runs on: API, Web
Pricing: Free trial; Starter $19/month; Pro $249/month; Scale $999/month; Custom Enterprise available.
Released: September 2026
Category: AI agent tool
Website: maximem.ai

Key features

Persistent memory and anticipatory retrieval
Entity resolution and knowledge pipelines
Private cloud vault with encryption
Agentic compaction and consolidation
REST and WebSocket APIs
Webhooks and event streams

Use it for

Building AI agents with persistent conversational memory
Managing context for development teams and organizations
Securing personal context across multiple AI tools

Alternatives to Maximem

Supermemory — Integrates long-term memory into AI coding agents with a single prompt.
Mem0 — It provides drop-in persistent memory for AI agents without changing pipelines.
ReMe — It enables local-first, file-native long-term memory sharing across multiple AI agents.
memU — It gives every connected agent a shared and inspectable memory layer.
MemOS — It delivers ultra-persistent memory, hybrid-retrieval, and token savings.
Cognee — Persistent memory for AI agents using graph, vector, and relational retrieval.
Memori — Reduces LLM token usage and spend by over 97% with targeted recall.
Playground — Persists agent memory across sessions and searches by meaning.
MemPalace — Achieves high recall with local-first storage and zero API calls.
MemMachine — Provides long-term persistent memory for LLM-based agents.
EverOS — It enables agents to learn from experience and improves over time without manual coding.
claude-mem — It shares persistent, searchable agent memory across sessions and devices.

All Maximem alternatives