"Windows Performance Toolkit and xperf.exe" matching MCP servers:

Enables persistent, project-scoped memory for OpenAI Codex Desktop and CLI on Windows, capturing prompts and responses through managed hooks, with federated recall across projects and optional local graph extraction.

A general-purpose MCP server providing web search, persistent memory storage, and secure code execution capabilities. It enables AI agents to search the web, store and retrieve data, and run Python/JavaScript code in sandboxed environments.

Enables agents to share state via a blackboard, record and retrieve failure resolutions, and cache LLM responses to avoid redundant API calls.

A template for building MCP servers that codify domain expertise into AI-accessible knowledge bases, deployable on Cloudflare Workers for AI assistants like Claude to query.

Provides engineering leadership benchmarks, developer value calculation, and mentoring playbooks based on real 1:1 sessions with 300+ engineering leaders.

An enterprise MCP server that exposes 16 standardized tools for document intelligence, RAG, knowledge graph, SQL analysis, LLM evaluation, cost estimation, and AI architecture design, enabling AI agents to securely access and compose enterprise AI capabilities.

Enables Codex users to coordinate multiple workspaces around a long-running project by persisting task state, decisions, stage deliverables, file references, and continuation notes for traceable cross-session collaboration.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.

Enables Claude and ChatGPT to share a single study-progress database for interview prep, coursework, and spaced repetition, with per-user data isolation and server-side SM-2 scheduling for due reviews and study plans.

MCP server for Ultrathink: save and search your knowledge base from Claude Desktop, Claude Code, and any MCP client.

Enables researchers to turn property-history questions into reviewable evidence dossiers by gathering sources, tracing people and places, linking conclusions to supporting or opposing passages, and exporting portable backups.

TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Connects AI agents to persistent topological memory on the Volumetric Lattice Network, enabling sub-5ms associative recall and storage of facts, documents, and code.

A high-performance MCP server providing long-term memory storage with semantic and keyword search capabilities, using SQLite and fastembed for sub-200ms queries.

Implements Anthropic's 'think' tool for Claude, providing a dedicated space for structured reasoning during complex problem-solving tasks that improves performance in reasoning chains and policy adherence.

Helps capture professional achievements using the STAR method through iterative interviews. Generates period summaries and performance review self-assessments.

A high-performance MCP server providing long-term memory storage with semantic and keyword search, along with a structured agenda engine for task management.

Extends LLM context windows by 15-60× using gravitational memory compression, enabling massive context extension for codebases, research papers, and long documents.

An enhanced MCP server for the Capacities knowledge management app. Features * List and explore spaces * Search content with full-text and title modes * Read full object content by ID (unique feature) * Save weblinks with tags and metadata * Add content to daily notes * Windows-compatible

Scalable, high-performance knowledge graph memory system with semantic search, temporal awareness, and advanced relation management.

A memory server for Claude that stores and retrieves knowledge graph data in DuckDB, enhancing performance and query capabilities for conversations with persistent user information.

A high-performance MCP server utilizing libSQL for persistent memory and vector search capabilities, enabling efficient entity management and semantic knowledge storage.

A high-performance, persistent memory system for the Model Context Protocol (MCP) providing vector search capabilities and efficient knowledge storage using libSQL as the backing store.

Enables access to Amplemarket's knowledge base through Pylon's API. Supports searching articles, retrieving full content, and browsing collections with built-in caching for improved performance.

An MCP server providing Jyotish, Panchang, and Sanatan Dharma knowledge tools including panchang computation, festival calendars, muhurat windows, Jyotish concept explanations, and a source-grounded Sanatan encyclopedia with citations and provenance metadata.

A high-performance persistent memory layer for AI agents with multi-modal support, 47 retrieval channels, and 50-tier guardian chains, integrating 12+ memory approaches into a unified architecture.

Hosted MCP server for structured knowledge extraction and entity enrichment, allowing users to author JSON schemas, enrich entities using multiple LLM providers, and benchmark model performance.

Multi-engine AI agent workstation for macOS and Windows with a built-in MCP server that exposes autonomous agent execution, cross-machine session handoff (export/import), and long-term memory sync (SQLite/FTS5) to any MCP client.