Agent Studio · Create · Run · Host Early access

Your agents. Live in minutes.

Define an agent in YAML or code, point it at your tools, and deploy. Conqueror Studios handles the runtime, memory, observability, and hosting — you stay in the logic.

PythonTypeScriptLangGraphMCPE2BDocker
Supported runtimes
PythonTypeScriptLangGraphMCPE2B SandboxDocker
How it works

Create, connect, deploy.

Three steps from idea to running agent. No infra wrangling, no provider lock-in.

01

Define your agent

Describe the agent's role, tools, and memory in a YAML manifest or drop in a Python / TypeScript class. The Studio validates the schema and surfaces missing dependencies before you ship.

02

Connect tools & models

Attach MCP servers, REST endpoints, databases, or code sandboxes. Pick any LLM — GPT, Claude, Gemini, local Llama, or a fine-tune. Swap models per-step without touching the agent logic.

03

Deploy and observe

One command to host. Every run is traced — inputs, outputs, tool calls, retries, and token costs. Replay any run to reproduce bugs or create regression gates.

Platform features

Everything an agent needs to run in production.

Visual agent builder

Drag-and-drop topology editor for multi-agent graphs. Wire specialists, routers, and memory nodes without writing orchestration boilerplate.

Persistent memory

Episodic, semantic, and procedural memory layers shared across agents. Query, diff, and rollback memory state the same way you version code.

Hot-swap models

Assign a different LLM to each step. Mix GPT-4o, Claude Opus, Gemini Flash, and local Llama in a single run. Change models without redeploying.

Sandboxed execution

Each agent run gets an E2B-backed code sandbox. Run Python, bash, or browser automation in full isolation with automatic teardown.

Full trace replay

Every span, tool call, token, and decision is journaled. Replay any run to reproduce failures, build evals, or prove correctness to stakeholders.

MCP tool bus

Any MCP-compatible tool — databases, file systems, APIs, browsers — plugs in without custom adapters. The bus routes tool calls to the right server automatically.

Single agents

One agent, one job, done right.

Single-purpose agents are the easiest place to start. Pick a task — summarize inbound emails, monitor a Slack channel, run nightly research reports — define it once, and let the Studio handle the rest.

  • YAML or codeDefine the agent's system prompt, tools, and memory config in a single file.
  • Trigger anywhereHTTP webhook, cron schedule, queue event, or a button in the UI — same agent, any entrypoint.
  • Auto-scalingZero instances when idle, instant scale-up on demand. Pay only for active compute.
  • Secret managementAPI keys injected at runtime via Vault-backed secret store. Never in source control.
Multi-agent pipelines

Compose agents into production pipelines.

Chain specialists: a researcher hands off to a writer who hands off to a reviewer. Each agent stays focused; the Nexus router handles context transfer, retries, and escalation when any step needs a human.

  • OrchestrAI Nexus engineMulti-agent graphs run on the same orchestration engine powering the flagship Nexus product.
  • Cyclic state machinesLangGraph-backed loops, branches, and human-in-the-loop checkpoints — all visual.
  • Shared context graphEvery agent in the pipeline reads and writes a common, versioned memory graph. No stale context.
  • Per-step model routingQuantum-inspired router assigns the best model per step based on accuracy, cost, and latency targets.
What people build

From experiments to production ops.

Research assistant

Decompose a brief into sub-questions, run parallel retrieval agents, synthesize a cited report.

Code review bot

Triggered on PR open — checks style, security, and logic, then leaves line-level comments.

Customer triage

Classifies incoming support tickets, routes to the right team, and drafts first-response suggestions.

Data pipeline

Watches a source, transforms records through a chain of specialist agents, loads into the warehouse.

Nightly reporter

Pulls metrics, generates a natural-language digest, and posts to Slack at 7 AM.

Voice counselor

Multimodal agent that listens, reasons, and responds — wired to the AI Counselor product layer.

Hosting

Managed, serverless, or on your infra.

Every tier gets the same runtime — the difference is where it runs and who owns the compute bill.

TierRuntimeMemoryConcurrencyObservability
SandboxManaged serverlessSession-only1 concurrentLogs + replay
StudioManaged + persistentPersistent graph10 concurrentFull traces + evals
NexusBring your infraUnlimitedUnlimitedOTel export + custom sinks

Pricing launches with early access. Join the waitlist to lock in founder rates.

Agent Studio

Build the agents you've been describing.

Early access is open to teams with a concrete use case. Tell us what you're building and we'll get you running.