A
license-
qualityD
maintenanceProvides persistent memory for AI coding agents through the Model Context Protocol, enabling them to store and retrieve project knowledge across sessions.
Last updated
89
MIT
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"A tool for storing and maintaining up-to-date codebase memory/context" matching MCP servers:
- AlicenseAqualityAmaintenanceHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 159 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.Last updated835,137MIT
- Flicense-qualityCmaintenanceA local semantic memory and code-indexer that uses AST parsing for structural understanding and persists architectural decisions to help AI assistants bypass context window limits.Last updated
- FlicenseAqualityCmaintenanceA local-first MCP server that gives AI coding assistants persistent, structured, human-readable memory for a software project by storing project knowledge as Markdown files in the project's .dev-context-memory/ folder.Last updated71
- Alicense-qualityDmaintenanceTracks mistakes and solutions from past Claude sessions to avoid repeating failed approaches.Last updatedMIT
- Alicense-qualityCmaintenanceEnables AI agents to maintain a structured Markdown or Obsidian memory vault with tools for reading, writing, searching, and organizing notes.Last updatedMIT
- Flicense-qualityDmaintenanceProvides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.Last updated10
- Flicense-qualityDmaintenanceEnables LLM assistants to store, retrieve, and update user-specific context memory including travel preferences and general information through a chat interface. Provides analytics on tool usage patterns and token costs for continuous improvement.Last updated
- AlicenseAqualityAmaintenanceProvides persistent memory and a codebase knowledge graph for AI coding assistants, enabling shared context across multiple tools like Claude, Cursor, and ChatGPT, with significant token reduction.Last updated553MIT
- Alicense-qualityDmaintenanceA server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.Last updated275MIT
- Alicense-qualityAmaintenanceA lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.Last updatedMIT
- Alicense-qualityAmaintenanceLocal-first repository memory for AI coding agents that indexes codebases into SQLite and exposes it through MCP tools, with a browser dashboard for architecture inspection.Last updated7MIT
- Alicense-qualityBmaintenancePersists Claude Code sessions to Notion as team memory, enabling queryable recall of decisions, work state, and project architecture.Last updatedMIT
- Flicense-qualityCmaintenanceEnables AI agents to index, search, and retrieve architectural documentation and store self-learning notes from codebases.Last updated1
- Flicense-qualityBmaintenanceSlipstream - Built by Vektor Memory - a persistent multi-layered memory architecture. 4-layer associative graph memory (MAGMA) with autonomous REM cycle, CLI, DXT-MCP Cloak Tools.Last updated4
- AlicenseAqualityAmaintenanceAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.Last updated1113,20219,316Elastic 2.0
- AlicenseAqualityAmaintenanceMulti-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.Last updated10MIT
- AlicenseAqualityAmaintenanceMARM MCP provides persistent memory and structured session context beneath any AI tool, so your agents learn, remember, and collaborate across all your workflows.Last updated14320Apache 2.0
- AlicenseAqualityBmaintenanceA 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_repLast updated51MIT
- AlicenseAqualityCmaintenanceA zero-dependency, file-based persistent memory system for AI agents with tiered memory, Ebbinghaus decay, and keyword retrieval.Last updated51MIT