Technology
Queen Bee

Stop hardcoding brittle workflows. Define your outcomes and let the Queen Bee architect, deploy, and evolve your autonomous agent swarm.

The Outcome-Driven Development Engine (ODD)

Stop testing if your code runs - start validating if your problem is solved. Aden's ODD engine uses recursive goal-alignment to ensure your agents deliver outcomes, not just API calls.

Adaptive Worker Swarm

Deploy a "Hive" of agents that don't just follow scripts—they think in outcomes. Every worker is a self-adapting node capable of refactoring its own execution path to bypass obstacles that break traditional linear chains.

Filesystem Memory & State Layer

Move beyond volatile context windows. Aden provides a native filesystem abstraction that treats memory as a structured, searchable, and persistent environment. Give your agents the ability to read, write, and refactor their own state across workspaces and sessions.

DocumentationPricing
Resources
Services

Services

Agentic Cost Control (ACC) Unit Economic Tracking (UET) Traceability & Audit (TA) Deployment & Infrastructure (DI)
Customer

Customer

The “Agentic” SaaS The Vertical AI Wrapper Regulated AI Multi-Model Platform Builders
Blog

Insights, updates, and industry trends.

Case Studies

See how businesses succeed with Aden.

Alpha Vantage Snapi Lextract AI
Integrations

Seamlessly connect your favorite tools.

Developer Tools

Build, customize, and extend with ease.

Security Program

Enterprise-grade data protection and privacy.

Careers

Join us and shape the future.

Partners

Partners

Technology
Queen Bee
The Outcome-Driven Development Engine (ODD)
Adaptive Worker Swarm
Filesystem Memory & State Layer
DocumentationPricing
Resources
Services
Agentic Cost Control (ACC)Unit Economic Tracking (UET)Traceability & Audit (TA)Deployment & Infrastructure (DI)
Customer
The “Agentic” SaaSThe Vertical AI WrapperRegulated AIMulti-Model Platform Builders
Blog
Case Studies
Alpha VantageSnapiLextract AI
Integrations
Developer Tools
Security Program
Careers
Partners
GitHub Discord

Filesystem Memory & State Layer

Move beyond volatile context windows. Aden provides a native filesystem abstraction that treats memory as a structured, searchable, and persistent environment. Give your agents the ability to read, write, and refactor their own state across workspaces and sessions.

Zero

Pre-defined Static Edges

100%

SDK-Wrapped Autonomy

∞

Horizontal Scaling

Real - Time

Logic Refactoring

Problem & Solution

The "Stateless Amnesia" Gap

Stop Losing Critical Context on Restart

Traditional agents live and die by the context window. When an LLM session restarts or hits its token limit, the agent loses its "train of thought." This forces redundant API calls and causes agents to repeat mistakes they already solved in previous turns.

Problem & Solution

Unix-Inspired State Management

Everything is a File

Aden implements a "Semantic Filesystem." Instead of dumping raw history into a database, workers write structured logs, state-files, and memory-blobs to a 3-layer directory. Agents use familiar tools—list, grep, read, and apply_patch—to manage their own intelligence lifecycle.

Problem & Solution

Context Engineering at Scale

Precision Retrieval, Not Token Dumping

Rather than feeding an agent its entire history, Aden allows agents to "query" their memory like a developer queries a codebase. This reduces "Context Hunger," slashes token costs, and ensures the agent only reasons over high-relevance data-slices.

Module

Architect, Deploy, & Evolve Autonomous Swarms

Stop hardcoding brittle workflows. Aden uses a recursive, outcome-driven engine to synthesize agent logic from natural language goals. Build reliable workforces that self-correct and improve with every execution.

Queen Bee

Learn more

Outcome-Driven Development (ODD)

Learn more

Adaptive Worker Swarm

Learn more

Join the community of developers killing the "linear era" of AI. Deploy the Hive today.

How It Works

The Execution Engine for High-Agency Swarms

The complete infrastructure to deploy, audit, and evolve your AI workforce. Move from brittle, manual chains to validated, self-healing outcomes.

Initialize Directory

Aden automatically mounts a scoped filesystem for every new Goal Object.

Autonomous Journaling

As workers execute, they use the write_file and append tools to record their internal reasoning, tool outputs, and observed failures.

Intelligent Pruning

The framework identifies "routine chatter" versus "critical insights," moving factual data to the Long-Term Layer while purging transient state.

Cross-Session Retrieval

When a new session starts, the agent uses grep_search and locate_in_tree to find relevant historical context, effectively "remembering" how it solved similar goals in the past.

The Execution Engine for High-Agency Swarms

The complete infrastructure to deploy, audit, and evolve your AI agent workforce. Move from brittle code to validated outcomes.