mcp-memory-service and memora
These are competitors offering similar persistent memory solutions for AI agents via MCP, with the main differentiation being that the first provides a REST API for broader framework compatibility (LangGraph, CrewAI, AutoGen) while the second is MCP-native only.
About mcp-memory-service
doobidoo/mcp-memory-service
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
This service provides a shared, persistent memory for AI agents, allowing them to retain information and learn across different tasks and sessions. It takes in decisions and facts from various agents, organizing them into a knowledge graph. The output is fast, relevant context that helps agents make better decisions, suitable for anyone building or managing multi-agent AI systems, like AI solution architects or AI product managers.
About memora
agentic-box/memora
Give your AI agents persistent memory — MCP server for semantic storage, knowledge graphs, and cross-session context
This project helps AI agents remember information across different tasks and conversations, acting like a persistent brain. It takes in structured notes, conversations, and observations, then organizes them into a searchable memory and a visual knowledge graph. AI developers or researchers building sophisticated agents that need long-term context and recall would use this.
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