Canvas MCP Client is an open-source, self-hostable dashboard application built around an infinite, zoomable, and pannable canvas. It provides a unified interface for interacting with multiple MCP (Model Context Protocol) servers through a flexible, widget-based system.

Universal infinite memory layer for Developer AI assistants. One shared brain across Claude, Cursor, Windsurf & more. 100% local, built on MCP standard. Stop re-explaining context

Unified Context MCP is a memory and retrieval layer for AI agents that turns conversations and tool outputs into structured, reusable context. It reduces prompt bloat by retrieving only relevant past knowledge, enabling agents to maintain continuity and grounding across chats, tools, and models.

Virtual Infinite Context MCP Server

infinite context mcp server for each agent product

The Local-First AI Memory Layer. Bridges VS Code, Terminal, and any MCP-compliant AI. Features Strategic Forgetting (SF-V2) for infinite context without the cloud.

Orchestration runtime for infinite-context LLM agents — checkpoints, RAG, and replay via MCP

A high-performance Model Context Protocol (MCP) server in Rust that generates infinite, context-aware environmental soundscapes and professional audio using Gemini 2.0 Multimodal Live API.

A programmable safety layer for the Model Context Protocol (MCP). It detects and breaks agentic infinite loops, preventing "token-burn" and protecting downstream SaaS APIs (Salesforce, Zendesk, Stripe) from repetitive, autonomous failures. Injects semantic overrides to force human intervention when agents hit hallucination thresholds.