Memori
Give your AI agents persistent memory beyond the conversation.
Quick verdict
Memori is a developer-focused AI memory platform that extracts and stores persistent memory from agent traces, not just chat history. Rather than relying on simple conversation logs, Memori captures the reasoning steps, decisions, and context generated during agent execution, turning them into structured, reusable memory that persists across sessions. This makes it especially valuable for teams building autonomous AI agents, LLM-powered workflows, or multi-step pipelines that need to recall past actions and context without manually engineering memory solutions from scratch. Developers and AI engineers benefit most from Memori because it removes the complexity of implementing custom memory layers while dramatically improving agent consistency and continuity over time. By grounding memory in actual agent traces rather than raw text, Memori delivers richer context that helps agents make better decisions on subsequent runs, reducing repetitive failures and improving overall workflow reliability.
Key features
- Agent trace-based persistent memory extraction
- Cross-session memory storage for LLM agents
- Structured memory retrieval for autonomous workflows
- Developer API for integrating memory into existing agent pipelines
Pros & cons
- +Captures richer context from agent traces rather than simple chat logs
- +Reduces engineering effort needed to build custom memory layers
- +Improves agent performance and decision quality over multiple sessions
- −Limited public documentation may make initial setup challenging for new users
- −Primarily built for developers, making it less accessible to non-technical users
Pricing
Free tier available with limited memory storage and trace ingestion
Paid plans estimated from $20/month based on usage and scale
Enterprise pricing available on request for high-volume agent deployments
Who is it for
- →Maintaining context across multi-session autonomous AI agent workflows
- →Improving consistency in LLM-powered task automation pipelines
- →Reducing repeated errors by grounding agents in historical trace memory
Frequently asked questions
Is Memori free?
Memori offers a free tier that allows developers to get started with basic memory storage and agent trace ingestion, though higher usage volumes and advanced features require a paid plan.
What is Memori best used for?
Memori is best used for giving autonomous AI agents and LLM-powered workflows persistent memory derived from agent traces, helping them retain context and learn from past actions across multiple sessions.
What are the best alternatives to Memori?
Alternatives to Memori include Mem0 (formerly MemGPT), Zep, LangChain memory modules, and Letta, all of which offer various approaches to adding persistent memory to AI agents and LLM applications.
Is Memori safe to use?
Memori is designed for developer use and follows standard data handling practices, but users should review the platform's privacy policy and ensure sensitive agent trace data is handled in compliance with their own security requirements.
How much does Memori cost?
Memori has a free tier for getting started. Paid plans are estimated to begin around $20 per month depending on memory volume and usage, with enterprise pricing available for larger deployments.
Related AI Developer Tools
Run AI inference faster without wasting compute resources.
Give your coding agents persistent memory across every session.
Autonomous mobile tests that write, run, and fix themselves.
Keep your AI agents updated when any webpage changes.
Keep your developer docs accurate and always up to date.
Give your AI agents persistent web automation muscle memory.