volcengine/OpenVikingGitHub
calls mcp-memory-service “choose for a simple REST/knowledge-graph persistent memory service exposed via MCP.”
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
34.5kPythonactive
doobidoo/mcp-memory-service Alternatives
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topoteretes/cogneeGitHub
calls mcp-memory-service “Choose it if you need a REST API memory service with a knowledge graph and autonomous consolidation for agent pipelines like LangGraph.”
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
30.2kPythonactive
supermemoryai/supermemoryGitHub
calls mcp-memory-service “Use it if you want an MCP/REST standalone memory service with knowledge graph consolidation.”
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
29.1kTypeScriptactive
TencentCloud/TencentDB-Agent-MemoryGitHub
calls mcp-memory-service “if you need a REST API with autonomous knowledge-graph consolidation for popular agent pipelines.”
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
23.8kTypeScriptactive
EverMind-AI/EverOSGitHub
calls mcp-memory-service “choose it when you want a self-hosted REST + knowledge-graph memory service for MCP pipelines.”
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
12.4kPythonactive
plastic-labs/honchoGitHub
calls mcp-memory-service “Choose when you need an MCP-friendly REST memory server with knowledge-graph consolidation for LangGraph/CrewAI/AutoGen pipelines.”
Memory library for building stateful agents
6.8kPythonactive
MemoriLabs/MemoriGitHub
calls mcp-memory-service “Choose if you are using LangGraph/CrewAI/AutoGen and want a REST knowledge-graph memory service with autonomous consolidation.”
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
16.2kPythonactive