An MCP server that optimizes context windows for AI coding agents through sandboxed execution, session persistence, and output compression — reducing context consumption by up to 98%.
A persistent, shared memory backend for AI Agent pipelines, providing REST API, MCP protocol, and knowledge graph with hybrid search, autonomous memory consolidation, and multi-agent collaboration — fully self-hosted with zero cloud cost.
An ultra-fast, multi-tenant graph database powered by a GraphBLAS sparse-matrix engine, running as a Redis Module, optimized for GraphRAG and AI Agent workloads.
A durable, multi-agent, auditable, and learnable AI execution platform built on a daemon-first architecture, enabling seamless cross-terminal switching and long-running autonomous tasks.
An Obsidian community plugin that integrates AI coding agents (Claude Code, Codex, Gemini CLI, etc.) into the vault via the Agent Client Protocol, featuring note mentions, multi-agent sessions, terminal integration, and chat export.
A cloud-native microservices example built on .NET Aspire with multi-agent AI orchestration, demonstrating enterprise architecture patterns including DDD, CQRS, Event Sourcing, and Saga.
Official lifecycle plugin for OpenClaw/Moltbot/ClawDBot that provides cross-session long-term memory for Agents via MemOS Cloud.
Full computer-use system for AI agents on macOS, exposing 29 MCP tools for structured perception, visual grounding, synthetic input, and self-learning Recipe workflows.
An open-source context retrieval layer for AI agents and RAG systems, supporting unified connection to 50+ data sources, real-time sync, multi-modal semantic search, and native MCP protocol support.
A community-curated comprehensive index of MCP servers covering 38 categories and 7,260+ entries, serving as a one-stop discovery hub for AI tool integration.
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