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A multi-agent system that analyzes meeting transcripts to generate summaries, extract key points, and identify actionable tasks through an easy-to-use web interface.

MCP server for MegaLaunch — AI-powered meme token launch service on Solana/pump.fun. Launch tokens with AI art, bundled buys, and Jito speed.

Enables AI assistants to interact with Meilisearch through a standardized interface, supporting index and document management, search capabilities, settings configuration, task monitoring, and experimental vector search.

Enables searching and filtering real estate properties in France through the Melo API. Supports comprehensive property searches with filters for price, surface area, location, and property type for both sales and rentals.

MCP protocol server exposing Mem0 AsyncMemory API for AI agent context retention

Enables AI applications to add, search, update, and delete long-term memories using the Mem0 Memory API, allowing agents to persistently remember user preferences, conversation history, and contextual information across sessions.

Enables persistent storage and semantic search of coding preferences, patterns, and implementations using Mem0, allowing AI agents to remember and retrieve development best practices across sessions.

Provides long-term memory capabilities for MCP clients by wrapping the Mem0 API, enabling semantic search, storage, retrieval, and management of conversation memories across users and agents.

Enables persistent memory storage and retrieval for AI conversations using Mem0, with semantic search capabilities backed by local Postgres and Qdrant vector database.

Typed semantic memory for Claude. Memory with opinions, designed for regulated B2B agents.

A durable multi-agent orchestrator for software development with explicit run graphs, checkpoint/resume capabilities, and project memory exposed through MCP resources and tools. It enables coordinated agent workflows for coding, review, repair, CI, and approval with SQLite-backed memory retrieval and pluggable research backends.

Agent learning infrastructure that captures experience, surfaces what works, and builds reusable capabilities. MCP-native with 94.4% LongMemEval accuracy.

Persistent memory with knowledge graph visualization, semantic/hybrid search, importance scoring, and cloud sync (S3/R2) for cross-session context management.

MemoraEU gives your AI a persistent, encrypted memory — sovereign, zero-knowledge, hosted in Europe. Works with Claude, Cursor, Windsurf, ChatGPT via MCP. Self-host for free (AGPL v3) or use the managed EU cloud.

Provides persistent memory and semantic code understanding for AI assistants using MongoDB Atlas Vector Search. Enables intelligent code search, memory management, and pattern detection across codebases with complete semantic context preservation.

Provides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.

A production-grade memory server for LibreChat that stores conversation turns and distills durable memories like decisions, constraints, and assumptions. It provides hybrid retrieval and consistency auditing to ensure AI plans remain aligned with established context and previous decisions.

Provides cross-device access to a persistent knowledge graph via Cloudflare Workers, enabling memory storage and retrieval through both MCP protocol and REST API with full-text search capabilities.

Persistent memory and handoff intelligence layer for MCP agents. Most memory servers retrieve text — Memory Nexus compounds operational context, learning from usage and progressively synthesizing observations into higher-order intelligence across sessions and tools.

A Model Context Protocol integration for the MemOS memory system, optimized for personal AI assistant scenarios with intelligent memory management and retrieval capabilities.