Now in Beta — Join the Waitlist

Compose
Intelligent Agents
at Any Scale

AssembleAgent is the modular infrastructure for building, orchestrating, and deploying AI agent workflows — without duct tape, without sprawl.

40+ Agent Modules
10ms Avg Routing Latency
99.9% Uptime SLA
Any LLM Model Agnostic

From prompt to
production in minutes

A clean three-step model that stays out of your way and scales with your complexity.

// 01

Define Your Agents

Declare agent roles, capabilities, and constraints using our YAML-based config or visual builder. Each agent is an isolated, testable module.

// 02

Wire the Workflow

Connect agents into pipelines using conditional logic, parallel execution, and feedback loops. The orchestrator handles state, retries, and timeouts.

// 03

Deploy & Observe

Push to any cloud or self-host. Monitor every agent invocation in real time with full trace logs, cost tracking, and performance dashboards.

Everything your agent
stack actually needs

Built for teams that ship, not demo. Every feature is production-hardened.

Multi-Model Routing

Route tasks to the optimal model based on cost, latency, or capability. Switch providers without touching workflow logic.

Parallel Execution

Fan out tasks to multiple agents simultaneously. Collect, merge, and arbitrate results with built-in consensus logic.

Persistent Memory

Agents retain context across sessions with pluggable memory backends — vector stores, Redis, or your own database.

Real-Time Observability

Full span tracing, token cost attribution, and latency histograms for every task. Debug production issues in seconds.

Tool & API Registry

Register external tools, APIs, and MCP servers once. All agents share the registry with automatic schema validation.

Guardrails & Safety

Input/output filters, prompt injection shields, and policy-as-code enforcement. Ship confidently in regulated environments.

Minimal config.
Maximum power.

Define complex multi-agent pipelines in clean, readable YAML or our TypeScript SDK. No lock-in, no black boxes.

Read the Docs
pipeline.yaml
# AssembleAgent pipeline definition
name: research-synthesizer
version: 1.2

agents:
  - id: researcher
    model: claude-sonnet
    tools: [web_search, browse]
    memory: vector

  - id: writer
    model: claude-opus
    depends_on: [researcher]

  - id: reviewer
    model: gpt-4o
    parallel_with: [writer]

flow:
  strategy: fan-out-merge
  timeout_ms: 30000
  on_failure: retry(3)

Ready to build
something intelligent?

Join teams already shipping production agent workflows with AssembleAgent. Free tier available. No credit card required.

Request Early Access