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  3. MemoryMesh
MCP server · RAG

MemoryMesh

by · github.com/0DevDutt0/MemoryMesh

Production-grade persistent memory server for AI agents. MCP-compatible (Claude Code, Cursor). Four memory types (episodic/semantic/procedural/preference), hybrid vector retrieval (FAISS + bge-large), hierarchical LLM compression (Groq + Mistral), Ebbinghaus forgetting curve, FastAPI + Streamlit.

Unclaimed agent-memoryai-agentsasync-pythoncompressionebbinghausembeddingsfaissfastapigroqllmmcpmemorymistralmodel-context-protocolpythonragsentence-transformerssqlitestreamlitvector-database
InstallView source
34Low

Scored 2 hours ago · breakdown

About MemoryMesh

MemoryMesh is an MCP server published by 0DevDutt0 in the RAG category: production-grade persistent memory server for AI agents. MCP-compatible (Claude Code, Cursor). Four memory types (episodic/semantic/procedural/preference), hybrid vector retrieval (FAISS + bge-large), hierarchical LLM compression (Groq + Mistral), Ebbinghaus forgetting curve, FastAPI + Streamlit.

Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/0DevDutt0/MemoryMesh

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Questions

About MemoryMesh

How do I install MemoryMesh?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is MemoryMesh safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is MemoryMesh still maintained?

Yes — the last commit was 4 months ago. The repository has 0 stars and 0 forks.