YourMemory

Persistent memory layer for AI agents — automatically prunes stale data, connects related memories, and cuts token waste.

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yourmemoryai.vercel.app
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Quick facts
What is it Persistent memory layer for AI agents — automatically prunes stale data, connects related memories, and cuts token waste.
Pricing Unknown
Platform API
API Yes
Best for Giving AI agents persistent context across sessions, Reducing token usage and LLM calls in agent workflows

Data updated April 28, 2026

What does YourMemory do?

YourMemory is a persistent memory system designed for AI agents. It acts as a layer that sits between your agent and its tasks, remembering useful information across sessions. Instead of starting from scratch each time, agents can recall past context, like project details or user preferences. This cuts down on repetitive explanations and makes interactions more efficient. The tool is built to be compatible with the Model Context Protocol (MCP), so it works with clients like Claude Code, Cursor, and others.

It works through a three-layer engine. First, a vector search finds memories directly related to a query. Then, a graph layer expands the search to find connected memories that might use different words. Finally, a biologically-inspired decay system automatically prunes old or unused information, keeping the memory relevant. A key feature is that all retrieval and pruning happens locally, with no calls to a cloud LLM, which keeps data private and costs down. The recent update added a graph engine for smarter, connection-aware retrieval.

This tool is for developers and teams building AI agents that need to maintain context. It's useful for coding assistants that should remember a codebase across days, customer service bots that learn from past interactions, or any multi-agent system where agents need to share some knowledge but keep other details private. By reducing token waste and unnecessary LLM calls, it makes agent workflows faster and less expensive.

#ai agents#context management#developer tools#graph-retrieval#mcp#memory layer#persistent memory

Key features

What makes it stand out
01
Biologically-inspired memory pruning that fades less useful context
02
Hybrid graph and vector retrieval to find related memories
03
Multi-agent support with shared and private memory visibility
04
Zero LLM calls for retrieval, keeping data and costs local
05
Automatic setup injects memory rules into your AI agent's context

Who is YourMemory for?

Who benefits most from this tool
Giving AI agents persistent context across sessions
Reducing token usage and LLM calls in agent workflows
Managing shared knowledge between multiple AI agents

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