# agent-nexus

> agent-nexus — deepaksinghcs14-agent-nexus. Use this tool when you need to manage and orchestrate multiple AI agents across different large language models (LLMs) in a self-hosted environment. The agent-nexus platform solves problems of complexity and scalability in AI workflows by providing features such as agent groups, approval gates, and full run tracing. It takes in AI models and workflows as inputs and outputs observable, traceable, and manageable AI agent executions.

Canonical page: https://skillsregistry.net/skills/deepaksinghcs14-agent-nexus  
JSON: https://api.skillsregistry.net/v1/skills/deepaksinghcs14-agent-nexus

## Description

Self-hosted, model-agnostic AI agent orchestration platform. Build, run, and observe AI agents backed by any LLM (Anthropic, OpenAI, Gemini, Ollama). Features:   agent groups/pipelines, tool execution with approval gates, MCP server integration, vector memory, connector-based RAG, and full run tracing. Built with Go + PostgreSQL + Next.js 14.

## Trust

- **Trust score (0–1):** 0.37
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/deepaksinghcs14/agent-nexus)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "deepaksinghcs14-agent-nexus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deepaksinghcs14-agent-nexus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deepaksinghcs14-agent-nexus/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt