mcp-local-memory vs engram-mcp
mcp-local-memory: mcp-local-memory is a local-first MCP server designed to provide AI agents with shared, durable memory without relying on Docker or cloud services. It achieves this through a powerful combination of hybrid semantic search, SQLite FTS5, and a structured knowledge graph, supporting features like temporal recall and adaptive ranking.; engram-mcp: Engram is an MCP server that provides persistent, Git-aware session memory for coding agents, allowing structured handoffs between sessions and branches. It helps agents retain context, decisions, and tasks, backed by local SQLite and ONNX embeddings without cloud dependencies.
TL;DR
Provide persistent and shared memory for AI agents in local environments.
Developers can capture session state and structured notes (decisions, todos, blockers) at the end of a coding session for seamless handover.
Side-by-Side Comparison
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