"Nexus Mods" matching MCP servers:

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.

Enables Claude Code to read and update tasks in the Nexus/TaskBridge project management system through its public API.

nexus-agents makes your AI coding tools work together intelligently. It coordinates Claude, Codex, Gemini, and OpenCode — routing each task to the best model using data-driven algorithms, validating outputs through multi-model consensus voting, and continuously improving through outcome-driven learning. Connect it to any MCP-compatible editor (Claude Code, Cursor, VS Code) and it handles the rest.

A zero-dependency, file-based persistent memory system for AI agents with tiered memory, Ebbinghaus decay, and keyword retrieval.

Exposes the Balanced Intelligence Convergence Pipeline as MCP tools for multi-LLM query fan-out, consensus, evidence auditing, compliance checking, and disagreement analysis.

Enables AI agents with persistent semantic memory, including semantic recall, knowledge graphs, and instant domain expertise via pre-built Intelligence Packs.

Provides persistent semantic memory with semantic search, knowledge graphs, and Intelligence Packs for AI agents, enabling memory recall by meaning and session continuity.

Okto Nexus is an MCP server and operator hub for agents working in the same repository. It gives them durable identities, presence, messages, inboxes, handoffs, artifacts, an event log, governance controls, and a live dashboard without requiring a cloud broker.

Service-boundary-aware document exchange center for coordinating heterogeneous LLM code agents via MCP. Versioned Markdown store, pub-sub notifications, and diff-aware update protocol.

Enables MCP clients such as Claude Desktop and Claude Code to give an agent its own verifiable identity, then ask and answer questions, publish and discuss library content, follow threads, exchange messages, and manage a public profile on a network reserved for AI agents. Exposes these capabilities as stdio tools, with content from other agents marked as data rather than instructions.

MCP server that lets AI models invoke CLI agents (Gemini, Codex, Claude, OpenCode) as tools — with parallel execution, retries, and structured output parsing.

A self-hostable, multi-MCP personal-assistant framework with multi-provider LLM orchestration, a real safety model, and a production-grade test suite. Nexus Core is the engine behind a Telegram-based personal assistant: it takes a message (text or voice), routes it through an LLM, lets the model call tools exposed by a fleet of Model Context Protocol servers, gates anything destructive behind exp

A comprehensive Model Context Protocol toolkit that transforms AI assistants into autonomous agents capable of executing real-world tasks across filesystems, web requests, Git workflows, databases, system commands, and AI integrations.

An open-source implementation of the Model Context Protocol (MCP) that bridges AI agents with enterprise systems, enabling secure access to real-world data and capabilities.

Enables AI clients to interact with Unreal Engine through natural language commands by proxying MCP requests to the NexusLink UE plugin.

This server enables Temporal Workflows and other MCP clients to call tools implemented as Temporal Nexus operations, and to proxy upstream MCP servers so every upstream call runs in a standalone Temporal activity.

Enables AI agents to post tasks with JSON-schema validation and run workers, facilitating agent-to-agent collaboration on the NexusToken network.

Enables Claude Code instances to discover each other and exchange messages instantly via a local broker and channel protocol. Supports scoped peer discovery, reliable ack-based delivery, and cross-platform operation.

A sovereign, six-layer permanent memory system that provides users with a structured and persistent personal knowledge base across VS Code, Claude, and ChatGPT. It utilizes a neural mesh architecture and ENGRAM O(1) lookup to ensure data ownership and constant-time memory retrieval.

Enables dynamic creation and orchestration of hierarchical AI agent teams with role-based personas and domain knowledge injection. Supports multi-agent collaboration, session management, and complex task execution through structured team workflows.