MoTechnicalities/semantic-memory-mcp-server
RWIF-backed federated semantic memory over MCP: compact disk-native semantic stores with governed writes, Docker-ready deployment, and benchmarked retrieval without a heavyweight vector database tier.
Overview
MoTechnicalities/semantic-memory-mcp-server is a Python MCP server licensed under MIT. RWIF-backed federated semantic memory over MCP: compact disk-native semantic stores with governed writes, Docker-ready deployment, and benchmarked retrieval without a heavyweight vector database tier.
Ranked #9 out of 104 indexed tools.
In the top 9% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1 stars → early stage
Last commit today → actively maintained
No issues filed → no history to score
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
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From the README
# Semantic Memory MCP Server RWIF turns semantic memory into compact, portable files that can stay on disk instead of forcing a heavyweight vector database to stay resident in RAM or VRAM. This repository exposes that disk-native memory through a clean MCP server, so models and agents can retrieve grounded semantic evidence from RWIF files on SSDs, removable media, or mixed storage tiers without introducing a separate database platform. The practical implication is straightforward: semantic retrieval becomes a file-and-router problem rather than a cluster-and-index problem. You can keep always-on knowledge on local SSD, mount private knowledge only when needed, and publish one stable MCP surface over all of it. ## Why This Repo Exists - Replace the usual vector-database control plane with RWIF-backed semantic memory files. - Route across multiple stores through one MCP tool surface. - Keep storage policy explicit with per-store `read-only` and `read-write` modes. - Allow semantic mRead full README on GitHub →
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