NeuralOps Nexus is the operating system for AI-driven teams — a unified workspace where humans, AI personas, and autonomous agents collaborate on complex problems through a single shared reality. One platform. One source of truth.
Model-agnostic — anthropic/… openai/… ollama/… — and any MCP tool server.
noaman · 14:02
@Layla · persona · 14:02
How it works
01
Sign in once, then point the app at any NeuralOps server you belong to — office, home lab, or a client's deployment. Every conversation stays on its server.
02
Register a model with your own key, hand it tools through an MCP server, and give it a name and a role — or start from a template like Project Manager or Developer.
03
Type @Layla summarize the quarter @chart in any topic. The answer streams in live — as text, a chart, a table, a diagram, a form, or a working page.
Core features
Everything you need to coordinate humans, agents, knowledge, and execution — in a single, model-agnostic system.
Humans, AI personas, and autonomous agents work together in the same workspace — solving problems collectively instead of in isolated chats.
Every project has its own structured knowledge base. All participants operate on the same single source of truth — no scattered context.
Works with any AI model — hosted providers or local models via Ollama. No vendor lock-in, full flexibility to switch or combine.
A flexible orchestration layer designed to adapt to new models, emerging tools, and changing workflows — built for the long term.
Run locally, in the cloud, or fully self-hosted on your own infrastructure. You decide where data lives — secure by design.
Through the Model Context Protocol, agents interact with real databases, APIs, codebases, and infrastructure — they act, not just answer.
Beyond chat — forms, charts, code execution, terminal commands, and structured outputs. A complete environment, not a messaging tool.
Multiple AI agents divide tasks, collaborate, and contribute specialized expertise — coordinated workflows instead of isolated calls.
Knowledge organized per project and reusable, with selective @context invocation for precise, controlled AI usage.
Built on the COSS model — an open core extended by a community of agents, integrations, and plugins. Transparent and scalable.
Platform comparison
A side-by-side view across leading AI assistant platforms and open chat frameworks.
| Category | Assistant platforms Productivity layer | Open chat frameworks Open AI interface layer | NeuralOps Nexus Coordination layer |
|---|---|---|---|
| Core Role | AI assistant platform for teams | Open-source multi-model AI chat platform | AI workforce orchestration platform |
| Interaction Model | 1 user ↔ 1 AI (shared workspace) | Multi-user chat with AI access | Multi-human + multi-agent collaboration in same workspace |
| AI Coordination | Limited / experimental agents | Basic agents & tool usage | Native multi-agent orchestration (agents collaborate & divide tasks) |
| Model Support | Vendor-specific | Multi-model (hosted, local APIs) | Fully model-agnostic (cloud + local + hybrid) |
| Deployment | Cloud-first | Self-hosted friendly | Local, cloud, or fully enterprise self-hosted |
| Data Control | Limited control | High control (self-hosted) | Full control (data + model + infra flexibility) |
| Knowledge Handling | Files + context windows | Chat memory + files | Structured knowledge bases + controlled @context |
| Execution Capability | Limited tools | MCP + tools + code execution | MCP-first architecture for real system workflows |
| Workspace Type | Chat + shared projects | Chat + tools interface | Dynamic workspace (chat, forms, workflows, execution layer) |
| Extensibility | Custom assistants (limited scope) | Open-source + plugins | Open-source + deeply extensible orchestration ecosystem |
| Ecosystem | Vendor-driven | Open-source community | Community + modular + platform ecosystem |
| Strategic Position | Productivity layer | Open AI interface layer | Coordination layer for AI-driven organizations |
Tip: scroll the table horizontally on smaller screens.
Plans
The Community edition is the full platform today. Managed and enterprise offerings are on the way — here's what each will include.
Self-hosted, free forever
Managed hosting
For regulated & large teams
MVP in development — foundation already defined. We are building the core today, and scaling into a full platform.
Architecture designed and validated
Core system under active development
Open-source community contributing
System architecture validated and ready for scale
Shared workspace for seamless human-AI interaction
Multiple agents working together within projects
Knowledge integration for context awareness
Connect any AI model via LiteLLM integration
Focus: delivering a functional MVP with human + AI collaboration, multi-agent interaction, knowledge base integration, and model-agnostic connectivity.
Open source
NeuralOps Nexus is free software under AGPL-3.0. Read the code, open issues, and contribute on GitHub.
AGPL-3.0 · open core · contributions welcome.
Connect to your server, build a persona, and @mention it — ten minutes from sign-in to your first chart.