idun-agent-platform

Open localhost:3000. Create an account. Deploy your first agent in 3 clicks.

[!TIP] Don't need the full platform? Run a standalone agent with no Manager and no database:

pip install idun-agent-engine && idun init

The interactive TUI configures framework, memory, observability, guardrails, and MCP in one pass. See the CLI docs.

What's inside

Observability

Langfuse · Arize Phoenix · LangSmith · GCP Trace · GCP Logging

Trace every agent run. Connect multiple providers at the same time through config.

Guardrails

PII detection · Toxic language · Ban lists · Topic restriction · Bias checks · NSFW · 9 more

Apply policies per agent on input, output, or both. Powered by Guardrails AI.

MCP tool governance

Register MCP servers and control which tools each agent can access. Supports stdio, SSE, streamable HTTP, and WebSocket.

Memory and persistence

PostgreSQL · SQLite · In-memory · Vertex AI · ADK Database

Conversations persist across restarts. Pick a backend per agent.

Prompt management

Versioned templates with Jinja2 variables. Assign prompts to agents from the UI or API.

Messaging integrations

WhatsApp · Discord · Slack

Bidirectional: receive messages, invoke agents, send replies. Webhook verification handled.

[!NOTE] SSO and multi-tenancy — OIDC with Google and Okta, or username/password. Role-based workspaces (owner, admin, member, viewer). Every resource is scoped to a workspace.

[!NOTE] AG-UI streaming — Every agent gets a standards-based streaming API, compatible with CopilotKit clients. Built-in chat playground for testing.

Architecture

| | | |---|---| | Engine | Wraps LangGraph/ADK agents into a FastAPI service with AG-UI streaming, checkpointing, guardrails, observability, MCP, and SSO. Config from YAML or Manager API. | | Manager | Control plane. Agent CRUD, resource management, multi-tenant workspaces. Serves materialized configs to engines. | | Web UI | React 19 admin dashboard. Agent creation wizard, resource config, built-in chat, user management. |

flowchart LR
  subgraph Actors
    Users["End users / Apps"]
    Admin["Admin / DevOps"]
    CICD["CI/CD"]
  end

  subgraph Platform["Idun Agent Platform"]
    direction TB
    UI["Web UI"]
    MGR["Manager API"]
    subgraph Engines["Engines"]
      ENG1["LangGraph"]
      ENG2["ADK"]
    end
    DB[(PostgreSQL)]
  end

  subgraph Infra["Your stack"]
    OBS["Observability"]
    MEM[(Memory)]
    LLM["LLMs"]
    TOOLS["MCP tools"]
  end

  Admin --> UI --> MGR --> DB
  Engines -- "config" --> MGR
  CICD --> Engines
  Users --> Engines --> Infra

Integrations

Idun vs alternatives

| | Idun Platform | LangGraph Cloud | LangSmith | DIY (FastAPI + glue) | |---|:---:|:---:|:---:|:---:| | Self-hosted / on-prem | ✅ | ❌ | ❌ | ✅ | | Multi-framework (LangGraph + ADK) | ✅ | LangGraph only | ❌ (observability only) | Manual | | Guardrails (PII, toxicity, topic) | ✅ 15+ built-in | ❌ | ❌ | Build yourself | | MCP tool governance | ✅ per-agent | ❌ | ❌ | Build yourself | | Multi-tenant workspaces + RBAC | ✅ | ❌ | ✅ | Build yourself | | SSO (OIDC, Okta, Google) | ✅ | ❌ | ✅ | Build yourself | | Observability (Langfuse, Phoenix, LangSmith, GCP) | ✅ multi-provider | ❌ LangSmith only | ✅ LangSmith only | Manual | | Memory / checkpointing | ✅ Postgres, SQLite, in-memory | ✅ | ❌ | Build yourself | | Prompt management (versioned, Jinja2) | ✅ | ❌ | ✅ Hub | Build yourself | | Messaging (WhatsApp, Discord, Slack) | ✅ | ❌ | ❌ | Build yourself | | AG-UI / CopilotKit streaming | ✅ | ✅ | ❌ | Manual | | Admin UI | ✅ | ✅ | ✅ | ❌ | | Vendor lock-in | None | High | High | None | | Open source | ✅ GPLv3 | ❌ | ❌ | — | | Maintenance burden | Low | Low | Low | High |

[!NOTE] Idun is not a replacement for LangSmith (observability) or LangGraph Cloud (hosting). It is the layer between your agent code and production that handles governance, security, and operations, regardless of which observability or hosting you choose.

Configuration

Every agent is configured through a single YAML file. Here is a complete example with all features enabled:

server:
  api:
    port: 8001

agent:
  type: "LANGGRAPH"
  config:
    name: "Support Agent"
    graph_definition: "./agent.py:graph"
    checkpointer:
      type: "sqlite"
      db_url: "sqlite:///checkpoints.db"

observability:
  - provider: "LANGFUSE"
    enabled: true
    config:
      host: "https://cloud.langfuse.com"
      public_key: "${LANGFUSE_PUBLIC_KEY}"
      secret_key: "${LANGFUSE_SECRET_KEY}"

guardrails:
  input:
    - config_id: "DETECT_PII"
      on_fail: "reject"
      reject_message: "R