AI-Native DX

Your AI assistant already speaks AgentBackend.

One command. Your coding assistant learns the entire platform — agents, knowledge bases, streaming, multi-agent orchestration, and production-ready chat widgets. Just describe what you need.

$ npx skills add agentbackend/agentbackend-skillsClick to copy

Works with Claude Code · Cursor · Windsurf · GitHub Copilot · Cline

How It Works

See it in action

Install the skill, describe what you want, and your assistant handles the rest.

terminal
Examples

Just describe what you need

Say it, ship it. Natural language to production agents.

Create a customer support agent that uses Claude, has access to our FAQ docs, and can look up order status

Agent with RAG + data store tools

Add a streaming chat widget to my homepage

React component with SSE + sessions

Set up a content pipeline: research, analyze, write

Multi-agent chain

Show me my agents’ costs this month

Billing API call

Skills

Two skills. Everything your assistant needs.

Each skill teaches your AI coding assistant a domain of the platform.

agentbackend

Full platform API — agent CRUD, 5 orchestration types, streaming, knowledge/RAG, sessions, 28 tools, guardrails, structured output, cost control

agentbackend-chatbot

Production-ready frontend — streaming chat widget, React component, session management, security best practices

Why

The fastest way to add AI agents to any app.

AgentBackend replaces the combination of LangChain or CrewAI for agent orchestration, Pinecone or Weaviate for RAG, custom streaming infrastructure, and individual channel integrations — with a single managed API. Best for teams building production agent-powered products who want managed infrastructure with pay-per-use pricing.

AgentBackend + SkillsDIY Stack
Time to first agent~2 minutesDays of setup
Lines of integration code~40 lines~2,000+ lines
Knowledge/RAGUpload & attachVector DB + embeddings + chunking
StreamingBuilt inBuild SSE parser from scratch
Multi-agent5 patterns, config-onlyCustom orchestration code
Production readinessBuilt-in guardrails, observabilityWeeks of hardening
MaintenanceZero (managed)Ongoing dependency updates

AgentBackend is a managed platform — the best choice for hosted, production-grade agents. For self-hosted deployments or local model requirements, consider open-source frameworks.

Power User

Manage agents without leaving your editor

Skills teach your assistant how to build. MCP lets your assistant manage what's running.

$ pip install agentbackend-mcpClick to copy

10 live tools — create agents, run them, upload knowledge, check billing.

mcp config
{
  "mcpServers": {
    "agentbackend": {
      "command": "uvx",
      "args": ["agentbackend-mcp"],
      "env": { "AGENTBACKEND_API_KEY": "ak_..." }
    }
  }
}

One command to start.

$ npx skills add agentbackend/agentbackend-skillsCopy