New: Agent Memory Protocol is live.

AI Agents for
Memory Optimization.

Platon works hand in hand with your AI agents to turn memory into a real engine — not a pile of disconnected context windows and experiments.

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Your AI memory
belongs in
your agents.

Reflection engine, built for depth.

Automatically analyze every session to extract what went well, what failed, and reusable tactics. Every learning is scored for confidence and stored in a knowledge graph.

Enterprise agents with persistent memory.

Deploy agents that execute, adapt, and deliver real results — with powerful orchestration, memory retrieval, and safety built in from day one.

Self-contained private deployments.

Build privately anywhere — on-premises, cloud, edge, devices, and more — while retaining full control of your data and complete tenant isolation.

Deeply integrated retrieval and context.

Combine vector similarity search with graph traversal for retrieval that understands relationships, provenance, and patterns — not just keywords.

50K+
Sessions processed
12K
Learnings extracted
340ms
Avg retrieval time
99.9%
Uptime

Three steps to smarter agents

01

Dump sessions

Your agents send session data via MCP or REST API after each task — tools used, events, outcomes, errors.

02

Reflect & learn

Our reflection engine analyzes each session, extracts learnings, identifies patterns, and scores confidence.

03

Retrieve & improve

Before the next task, agents query relevant memories — failures to avoid, tactics to reuse, context to apply.

Give your agents the memory
they deserve

Start building agents that learn from every interaction. Free tier available — no credit card required.

Get Started