Now Building in Public

Autonomous Intelligence,
Orchestrated.

We build AI agent systems that reason, plan, collaborate, and execute -- autonomously. Not chatbots. Not copilots. Agents with agency.

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// Orchestrate a fleet of specialized agents
const fleet = await Agentica.orchestrate({
  objective: "Analyze Q4 pipeline and draft board deck",
  agents: ["researcher", "analyst", "writer"],
  constraints: { deadline: "2h", accuracy: "verified" },
  mode: "autonomous"
});

// Agents reason, decompose, delegate, and converge
fleet.on("complete", (result) => {
  console.log(result.deliverables); // 14-page deck, sourced
});

// capabilities

From prompt to production.
Agents that actually ship.

Six core primitives that transform how work gets done. Each one battle-tested in production environments.

Multi-Agent Orchestration

Compose fleets of specialized agents that decompose objectives, delegate subtasks, and converge on results -- without human intervention.

fleet.orchestrate()

Structured Reasoning

Agents don't guess. They build chain-of-thought plans, evaluate tradeoffs, and explain their decisions with full audit trails.

agent.reason()

Tool Use & APIs

Agents wield tools -- databases, APIs, file systems, browsers, code execution. Any interface becomes an agent capability.

agent.use(tool)

Code Generation & Execution

Write, test, debug, and deploy code autonomously. Agents iterate against real test suites, not hypothetical outputs.

agent.code()

Guardrails & Governance

Policy-driven boundaries. Human-in-the-loop checkpoints. Cost controls. Agents operate within the lines you draw.

agent.constrain()

Memory & Learning

Persistent context across sessions. Agents remember past decisions, learn from outcomes, and improve over time.

agent.remember()

// architecture

Built for autonomy.
Designed for control.

A layered architecture where agents compose, communicate, and coordinate through a shared execution plane.

Orchestration Layer

Decomposes high-level objectives into directed acyclic graphs of subtasks. Handles agent selection, routing, and convergence.

Agent Runtime

Sandboxed execution environments with tool access, memory, and reasoning primitives. Each agent runs in isolation with defined capabilities.

Governance Mesh

Policy engine that enforces constraints, budgets, and approval workflows. Every action is auditable. Every decision is traceable.

Objectives

↓ decompose ↓

Orchestrator

↓ route ↓

Agent A

research

Agent B

analyze

Agent C

execute

↓ converge ↓

Deliverable

Governance

policy / audit / budget / approvals

// use cases

What agents do
when you let them.

Real workflows. Real autonomy. Real results.

Research & Intelligence

Agents crawl, synthesize, and distill -- turning raw data into actionable intelligence with cited sources.

Code & Deploy

From feature request to production deployment. Agents write, test, review, and ship code autonomously.

Document & Report

Generate board decks, technical docs, compliance reports -- with real data, real analysis, real citations.

Orchestrate Operations

Multi-step workflows across tools and teams. Agents coordinate across Slack, Jira, GitHub, databases, and more.

Autonomous Intelligence, Orchestrated.

From prompt to production.Agents that actually ship.