Skip to main content
Glama
76,787 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"A memory-efficient MCP server with vectorized memory bank synchronization" matching MCP servers:

  • A
    license
    B
    quality
    B
    maintenance
    Provides a read-only MCP interface to query and retrieve verifiable evidence from a local memory bank, supporting search, dossier, chronology, source, and evidence tools.
    6
    BSD Zero Clause
  • A
    license
    B
    quality
    B
    maintenance
    An MCP server that gives AI assistants persistent memory across sessions. It stores project context, decisions, and progress in structured markdown files as well as a knowledge graph and sequential thinking for better memory storage.
    36
    37
    1
    MIT
  • F
    license
    A
    quality
    F
    maintenance
    A Model Context Protocol server that provides persistent project context management for AI-assisted development, specifically designed for the Cline VSCode Extension.
    4
    62
  • A
    license
    C
    quality
    D
    maintenance
    An MCP server that enables persistent memory, structured thinking sessions, and project-based knowledge management for Claude. It includes specialized coding tools for package discovery and reinvention prevention by validating code against existing libraries and APIs.
    17
    3
  • A
    license
    A
    quality
    B
    maintenance
    Persistent knowledge graph MCP server with SQLite backend, offering graph traversal, fuzzy search, and temporal queries for entities and relations. It serves as a drop-in replacement for the npm mcp-server-memory with enhanced capabilities.
    12
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    A local-first MCP server for durable agent memory using SQLite and FTS5, enabling knowledge graph storage, search, and recall for AI agents.
    20
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Provides persistent memory with semantic search for MCP-based AI agents, enabling them to store and recall information across sessions using vector embeddings.
    4
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    A persistent memory MCP server for Claude Code that automatically saves conversations and retrieves relevant history across sessions to provide context.
    17
    11
    MIT
  • A
    license
    A
    quality
    F
    maintenance
    A drop-in replacement for Anthropic's memory server that utilizes SQLite to ensure data integrity and concurrent access. It enhances the original functionality with semantic search capabilities using vector embeddings and ONNX models.
    11
    1
    MIT
  • A
    license
    B
    quality
    A
    maintenance
    A local MCP server that provides agents with tools to list, read, search, inspect history and diffs, and capture unstructured text in a user-owned Git repository of durable memory.
    5
    MIT
  • A
    license
    C
    quality
    A
    maintenance
    Persistent project memory for AI models and coding agents. Memory MCP stores architecture, decisions, tasks, warnings, preferences, and session state in Supabase so OpenCode, Claude Code CLI, Qwen Code, Codex, or any MCP-compatible client can resume work without losing context.
    22
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.
    7
    47
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    Provides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.
    8
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Gives AI coding agents persistent, evolving knowledge about a codebase, enabling them to store and retrieve observations about architecture, conventions, gotchas, and recent work context.
    10
    29
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A different approach from typical persistent-memory MCPs. Instead of a local SQLite + embeddings store, the memory lives as plain files in a .ai-memory/ directory you commit to your repo (facts.jsonl, decisions/\*.md, gotchas.md). Git is the sync layer — what one Claude/Cursor/Cline learns about a repo, the next session (or a teammate's agent) picks up automatically. 5 MCP tools: get_rep
    5
    1
    MIT