Revolutionary Living Brain MCP server that creates one evolving brain per project for AI coding assistants. Perfect project isolation, works with Cursor, Augment, Claude, Windsurf.
Persistent memory MCP server with typed memories, decay scoring, and token-aware context injection
Super-Memory MCP server with local embeddings and vector search
Enterprise-grade Claude Memory MCP Server - persistent, intelligent memory for Claude Code
Standalone a24z Memory MCP server
Local-first semantic memory MCP server for Obsidian vaults
Persistent memory MCP server for AI coding agents
Codebase memory MCP server - persistent, evolving knowledge for AI coding agents
Local-first personal network memory MCP for OpenClaw and other MCP harnesses.
Local Memory MCP Server - AI-powered persistent memory system for Claude Code, Claude Desktop, Gemini, Codex, OpenCode and other MCP-compatible tools
Structured fact memory MCP server — SQLite + FTS5, trust scoring, entity graph, bilingual retrieval for Claude Code & Codex
Persistent memory MCP server with semantic search, LLM summarization, and automatic compaction
Persistent developer memory MCP server — the LLM is stateless, Mnestra isn't
AINative ZeroDB Memory MCP Server - 18 tools for agent memory: 9 memory + 5 write-back (Slack, Gmail, Calendar, GitHub, Notion) + 4 plan artifacts (persistent plans/PRDs across sessions with diff history). Auto-context middleware. Production-ready for Cla
PCE Memory - MCP server for Process-Context Engine
Semantic memory MCP server for Claude Code. Local knowledge graph with vector search — powered by Neo4j.
Zug — persistent memory MCP server for a havruta learning companion
Simple memory MCP server for storing and retrieving memories with tags
Local-first agent memory MCP — cross-agent brain with 6-layer structured memory + token-saving file diff cache
Scaffold agent-ready academic research repositories with SOTA, source ledgers, wiki memory, MCP setup, and project-local skills.
Cloudflare-hosted MCP server for code indexing, retrieval, and assistant memory with a direct remote MCP endpoint and local stdio bridge.
Structured fact memory MCP server for AI coding assistants
Project-local RAG memory MCP server — knowledge graph + multilingual vector + FTS5 in a single SQLite file. Per-project isolation, 30 MCP tools, codepoint-safe chunking (Korean/CJK/emoji).
Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Give your AI assistants long-term memory via the Model Context Protocol.
MCP server for semantic memory — pure-Rust embeddings, vector search, git-backed storage
MCP server for AgenticMemory - universal LLM access to persistent graph memory
MCP server binary for codex-extra-memory.
Model Context Protocol (MCP) server for AI agents
SQLite-based knowledge graph MCP server for persistent memory
MCP server implementation for Nexus Memory System
MCP server (stdio + HTTP/SSE) for trusty-memory
CLI toolkit providing memory, hooks, and MCP servers for Claude Code personality system
Gives Claude Code persistent memory across sessions. Claude recalls your codebase architecture without file traversal, enforces project conventions during code generation, tracks decisions with rationale, and remembers your preferences across all projects. Zero-config via Hooks + MCP.
Agentf is a Ruby-native multi-agent workflow engine with an ORCHESTRATOR, role-specialized agents, provider adapters (OpenCode/Copilot), and Redis-backed semantic, episodic, and graph-style memory. It includes a unified CLI, MCP server tools, and install/update workflows for generated agent/command manifests.
RobotLab is a Ruby framework for building and orchestrating multi-robot LLM workflows. Built on ruby_llm, it provides robots with template-based prompts, tools, and shared memory; networks for coordinating multiple robots with intelligent routing; MCP (Model Context Protocol) integration for external tool servers; and a memory system with Redis backend and semantic caching. Optional gems add Rails integration (robot_lab-rails), durable learning (robot_lab-durable), Ractor concurrency (robot_lab-ractor), and document storage (robot_lab-document_store).
+pikuri+ is the convenience bundle for the pikuri AI-assistant toolkit. It ships no Ruby code of its own beyond a tiny entry file that +require+'s each sibling gem; +gem install pikuri+ pulls in pikuri-core, pikuri-skills, pikuri-tasks, pikuri-memory, pikuri-workspace, pikuri-code, pikuri-mcp, pikuri-subagents, pikuri-vectordb, and pikuri-assistant in one shot, and +require 'pikuri'+ boots all of them. Privacy-conscious users who want a minimal dependency tree to audit should install +pikuri-core+ directly and opt into the extension gems they actually need — same +bundle add+ pattern Rails users have always had. See each pikuri-* gem's README for its individual surface.
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