"RStudio IDE" matching MCP servers:

Enables semantic search across all Kiro conversations (CLI and IDE), allowing the AI to recall past discussions, decisions, and user preferences.

MCP server that exposes agent-memory-daemon to any MCP-compatible client — Kiro (CLI & IDE), Claude Desktop, Cursor, and others. The daemon does the thinking (consolidation + extraction); this server is a thin filesystem bridge so agents can read, append, and search memory through the Model Context Protocol.

Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency

Enables intelligent web document scraping and conversation memory management for Cursor IDE. Supports multi-level link crawling, automatic content extraction, and organized storage of conversations and technical documentation.

智能记忆系统，为TRAE IDE提供自动对话记录、上下文恢复和任务管理功能。

iwec gives AI agents structured access to your Markdown notes as a knowledge graph instead of a pile of files. Agents search, retrieve, traverse, and refactor your notes by structure and links — not blind text similarity — working from the same plain .md files you edit by hand. No database, no cloud, no lock-in.

Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

Manages and authoring of business rules in a scenario studio tool, enabling agents to read, update, link rules, and assign them to capabilities via MCP tools.

An AI-assisted, long-term memory system for IDEs, powered by Kuzu graph database. GraphMemory-IDE is an MCP server that provides semantic vector search, graph-based knowledge storage, and real-time analytics.

MCP server that connects Cursor IDE to Inky backend, enabling users to list and filter personalized coding rules stored in Pinecone.

Cross-tool AI memory engine providing 25 MCP tools for semantic memory, session guard, trace auditing, and proactive IDE interception, all locally without API keys.

An MCP server that turns your AI assistant into a structured ideation partner by generating, scoring, critiquing, and storing software ideas locally with a built-in web dashboard.

Exposes a layered long-term memory store — persistent self blocks, four-tier scoped retrieval, knowledge graph, and signed knowledge capsules — over stdio so any MCP-capable client can use the same 15 memory tools and shared ACL. It lets Claude Desktop, IDE agents, and custom orchestrators mount that store without depending on the DeepSeek Harness runtime.

A centralized, Git-backed knowledge base and MCP server for teams to store, search, and reuse agent-generated artifacts like skills, specs, plans, reviews, and ADRs, with IDE/Agent integration and a Dashboard for governance.

A methodology-driven MCP server that guides enterprise AI rollouts through a 5-phase pipeline with layered memory for experience reuse, enabling agents to manage engagements and crystallize skills.

An inter-agent graffiti wall that lets agents leave traces, comments, and artifacts through MCP tools, with no account required.

A Model Context Protocol server that connects Cursor AI IDE with Obsidian notes and MongoDB, creating an integrated knowledge management system with real-time synchronization and search capabilities.

A persistent memory MCP server that saves AI context across sessions and IDE restarts using a global log file.

Enables persistent memory and semantic search for development workflows with hierarchical compression. Store and retrieve development knowledge across IDE sessions using natural language queries, circumventing context window limitations.

A cross-platform coordination layer that connects MCP-compatible tools to a shared project state, enabling task management, blocker tracking, decision logging, and SOP automation.

A shared knowledge graph memory MCP server that multiple AI clients can connect to simultaneously via Streamable HTTP, supporting entity-relation storage and retrieval.

Auto-captured, auto-recalled, path-scoped memory for AI coding agents and teams.

An MCP server that retrieves relevant PDF chunks via local embeddings and returns them to IDE agents (Cursor, Kiro, Claude Code) for answer generation.

Enables interaction with Neo4j databases from the Cursor IDE by executing Cypher queries, managing connections, and retrieving database information.

MCP server for Context Studio, a file-based CMS for governed marketing documents and searchable collections, enabling retrieval and management of AI context via tools like scopes, document reads, and collection search.

Your coding agent remembers how it solved past tasks and reuses it next time: trigger, steps, outcome, lessons. Hooks recall the right skill before a task; skills strengthen with confirmed use and unused ones decay. Local SQLite, no API key, nothing leaves your machine. 9 MCP tools, works with Claude Code, Codex and Cursor. Agent-written memory stays untrusted until you approve it.

Chronicle is a secure, local-first MCP server designed to transform your historical AI chat logs into a persistent memory vault. It seamlessly parses and indexes raw conversation exports from ChatGPT, Claude, and various IDE transcripts directly on your machine. By utilizing dynamic token-stripping, the engine automatically cleans redundant syntax wrappers to save up to 40%

An MCP server that makes your AI agent learn and evolve by capturing feedback as reusable, persistent skills that improve over time.

Provides persistent memory for OpenCode coding agents, allowing them to store and recall architecture decisions, conventions, and gotchas across sessions via semantic search.

Enables AI assistants to search, browse, and save to a semantic knowledge graph with vector search and hierarchical organization.

Enhanced MCP knowledge graph memory server with cloud persistence and semantic search, acting as a drop-in replacement for the standard memory server.

A local-first cognitive substrate for neurodivergent professionals. Gives Claude memory, a sense of time, a translator for corporate ambiguity, and a guardrail that refuses to amplify rumination, hyperfocus, or sycophancy. MCP-native. No telemetry. AGPL-3.0-or-later. Self-ID sufficient — no diagnosis gating.

An MCP server that enables AI assistants to access and search Cherry Studio knowledge bases, supporting operations like listing, searching, and retrieving details.

Generate production-ready Product Requirement Documents with full AINative platform awareness and persistent memory. Enables AI agents to create, validate, and manage PRDs using ZeroDB for cross-session storage and 18 tools including generation, templates, validation, and semantic search.

A long-term memory MCP server for AI agents that stores memories (facts, decisions, etc.) in a single SQLite database with hybrid search and full edit history, ensuring consistency across sessions.

Connects AI agents to a collective creativity platform where they can publish, read, and explore creative connections (bisociations) between concepts from different domains.

Provides persistent memory management for AI agents with 14 tools, including semantic search, context synthesis, auto-context middleware, and write-back actions to external services like Slack.

Enables local, offline querying of birthdays and biographical tags for celebrities, historical figures, and ACG characters, including date-based lists, name/alias search, person details, and upcoming birthdays.

Provides AI assistants with vector search and persistent memory capabilities using ZeroDB. Enables storing and retrieving context across sessions, semantic document search, and analytics through natural language interactions.

Enables MCP-capable agents to record, search, update, and export durable project notes from a local SQLite store and coordinate asynchronously through a shared blackboard, all over stdio without cloud infrastructure.