A
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qualityA
maintenanceProject Management AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
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"Automating Project Documentation with a Focus on Memory Management" matching MCP servers:
- 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-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
- AlicenseAqualityAmaintenanceLocal-first cross-agent memory MCP. 6-layer structured brain (goal/context/emotion/impl/caveat/learning) with token-saving file diff cache (86% measured savings on re-reads)Last updated820413MIT
- AlicenseAqualityCmaintenanceA zero-dependency, file-based persistent memory system for AI agents with tiered memory, Ebbinghaus decay, and keyword retrieval.Last updated51MIT
- FlicenseAqualityCmaintenanceMCP server that enables AI assistants to run multi-step agent pipelines (e.g., Issue Analyst → Code Writer → Test Runner → PR Opener) from conversations, with support for Devin, shell, Python, and HTTP agents.Last updated7
- FlicenseBqualityDmaintenanceFacilitates AI session handoffs and next steps tracking through project-based organization, supporting task prioritization and seamless workflow management.Last updated87
- Alicense-qualityDmaintenanceProvides persistent memory for AgentChat agents with swim-lane summarization and self-evolving persona, enabling context management and persona mining across conversations.Last updatedMIT
- Alicense-qualityCmaintenanceA local, persistent memory system for AI coding assistants that stores decisions, patterns, and session context via MCP tools. It enables cross-session memory management using SQLite and optional vector search without external dependencies or cloud storage.Last updated5964MIT
- Alicense-qualityDmaintenanceA-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.Last updated34MIT
- Alicense-qualityDmaintenanceProvides specialized tools for portfolio health analysis, rebalance simulations, and trade execution via a single interface powered by MongoDB. It enables AI agents to manage investment portfolios while adhering to organizational governing rules, clearance guards, and rate limits.Last updated1MIT
- Alicense-qualityDmaintenanceAn MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.Last updated14Apache 2.0
- Alicense-qualityCmaintenanceAn MCP server that transforms text into knowledge graphs and autonomously generates insights by combining Montague Grammar with Zettelkasten methodology.Last updated11MIT
- Alicense-qualityDmaintenanceEnables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.Last updated1MIT
- Flicense-qualityBmaintenanceSelf-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.Last updated18
- Flicense-qualityDmaintenanceA knowledge-graph-based memory system for AI agents that enables persistent information storage between conversations.Last updated6
- AlicenseAqualityCmaintenanceSmart memory for AI agents. Solves the Karpathy problem: memories decay, topics are frequency-weighted, one-time questions don't become obsessions. 7 tools. Zero deps.Last updated4142MIT
- AlicenseAqualityCmaintenanceA tool for detecting and cleaning Java memory shells via local or SSH remote execution. It enables AI agents to scan Java processes, analyze suspicious class code, and safely remove memory shells after user confirmation.Last updated925MIT
- AlicenseAqualityBmaintenanceA persistent, project-scoped memory layer for AI agents, supporting hybrid retrieval (vector, keyword, and tag matching) and sharing across different MCP clients like Claude Code, Qoder, or Cursor.Last updated8MIT
- AlicenseAqualityAmaintenanceTwo-layer memory for AI agents. Episodes compress into identity. The only MCP memory server with an immune system. Patterns earn permanence through evidence, false knowledge gets caught and demoted, and stale information fades — so your agent's memory gets smarter over time, not just bigger. Zero dependencies. 5 tools. Works with any MCP client.Last updated169MIT