Proof of Concept · BETA

Orchestrator Index

aka Orchid

A SOLID, YAML-driven multi-agent framework built on LangGraph.

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The Ecosystem

Five separable packages with a one-direction dependency graph.

Built on four pillars

Every design decision stems from these four principles.

YAML-first

Define agents, skills, tools, and prompts entirely in agents.yaml — no code required for most use cases.

Hierarchical RAG

Five-level scoped retrieval (root→tenant→user→chat→agent) with pluggable query strategies and Qdrant built-in.

MCP-native

Connect any MCP server. Supports none, passthrough, and OAuth auth modes out of the box.

Multi-LLM

OpenAI, Anthropic, Google Gemini, Groq, Ollama — switch providers by changing a single YAML field.

One config. Three runtimes.

The same agents.yaml works with the API, CLI, and MCP gateway.

version: "1"

defaults:
  llm:
    model: "ollama/llama3.2"
    temperature: 0.2

agents:
  basketball:
    description: >
      NBA basketball expert with player stats,
      team rosters, and head-to-head comparisons.
    tools:
      - get_player_stats
      - compare_players
      - get_team_roster

  psychologist:
    description: >
      Sports psychologist for player motivation,
      mental toughness, and team dynamics.
    tools:
      - assess_motivation
      - suggest_mental_strategy

curl -X POST http://localhost:8000/chats/my-chat/messages \
  -H "Content-Type: application/json" \
  -d '{"content": "Tell me about LeBron James"}'

Run it locally

One command starts the demo with Ollama-powered models.

docker compose -f docker-compose.demo.yml up --build

Full quickstart →