Developing for the Autonomous Future

Get early access to the Paranet Developer Kit.

The language and network for building deterministic, persistent actors that network effortlessly—without the headaches of general-purpose code.

The Paranet is your network; Paraflow is your language—with built-in guardrails for stronger guarantees on execution. Create stateful actors that are software, hardware, human-interfaced, or domain based. Our protocol makes communication trivial—any actor can request or respond, enabling complex, distributed orchestrations that persist through failures.

Technical Advantages

Durable, Resilient, Long-Running Workflows — Without the Boilerplate

Paraflow automatically persists state, resumes execution after failure, and handles rollback with compensating actions across even the most complex plans. The result: workflows that are safer, easier to write, and closer to the way business processes are actually described.

Workflow Language

Paraflow 3 is deterministic and persistent—handling stateful logic with ease. With language SDKs for familiarity.

Actor Model

Inclusive and flexible—software bots, hardware integrations, human tasks, all as persistent nodes on the network.

Guardrails as Benefits

Enforce reliability; no “off the rails” moments—stronger than general langs, with clear dos/don'ts.

Networking Protocol

Seamless actor-to-actor comms—build decentralized apps where domains (orgs/persons) interact without central auth.

Ledger

Every bit of historical and real-time communication data stored in a persistent RDS backed ledger.

The Paranet vs Others

Explore the differences in these multi-agent ecosystems.

	The Paranet	Temporal.io	Akka	LangChain (LangGraph)
Language Support	Paraflow (native language); language SDKs; Python; YAML deployment config	Full SDKs for Go, Java, Python, TypeScript; code-first APIs for custom logic implementation	Primarily Scala and Java (JVM-based); .NET support via Akka.NET; Agentic Platform integrations	Primarily Python (core SDK); JavaScript port; LLM and tool integrations; 2025 focus on LangGraph
Orchestration Style	Goal-driven autonomous workflows with reasoning and memory capabilities. Native human-in-the-loop integration, brokering, and skill matching. Ideal for developers building adaptive, distributed systems.	Code-based durable workflows with event sourcing. Designed for long-running processes via timers and retries. Perfect for completion in failure-prone microservices environments.	Actor-based concurrent orchestration via message-passing with multi-agent supervision trees. Ideal for elastic, real-time concurrency without traditional locking mechanisms.	Modular agentic chains and graphs for stateful multi-agent systems with LLM reasoning via LangGraph. Designed for AI developers prototyping adaptive pipelines with human-in-the-loop capabilities.
Durability & Scalability	Stateful persistence for failure recovery; scalability through skill matching; unified network architecture.	Fault-tolerant replay system for crash and infrastructure resilience. Horizontal scaling with years-long executions. 2025 worker versioning and cloud enhancements.	Supervision trees provide fault tolerance with clustering and remoting for elastic scaling. Durable execution across crashes and delays.	Checkpoints and retries via LangGraph with cloud scaling through LangSmith deployment. Durable agent runtime; short-term memory.
Actor Model & Persistence	Actorizes bots, hardware, and humans as persistent nodes with defined skills and goals. RDS-backed ledger for communication and data logs. Historical and real-time auditing.	Workflow instances function as pseudo-actors with event sourcing and history for state management. Database persistence enables replay (no hardware or human inclusion).	Independent actors with mailboxes; Akka Persistence plugin for event-sourced state management. 2025 agentic memory additions (less focus on hardware/human integration).	Agent memory modules; stateful graphs for multi-actor persistence; tool-based simulations (no full hardware inclusion).
Networking & Real-Time Communications	PnCP (Layer 8 semantic pub-sub) for skill-based task requests and fulfillment (e.g., “move pallet”) with deterministic execution. Persistent, semantic, hierarchical messaging unlike MQTT, ROS2, Kafka, or Redis. Dynamic actor addition via skills with real-time adaptability.	Asynchronous and eventual consistency with limited real-time capabilities via add-ons like WebSockets. Central server/cluster coordination without native peer-to-peer support.	Remoting for distributed actors with adaptive protocols for real-time systems. Streaming for event-driven communications. Peer-to-peer-like functionality via actor references (JVM-tied).	Streaming and asynchronous real-time capabilities (first-class in LangGraph) with event-driven integrations. Centralized and extensible for provider communications.
Security Features	Built on zero-trust principles with secure persistent communications.	TLS/mTLS for communications with authentication and authorization through role-based access control.	Configuration-based security with TLS and authentication plugins. Enterprise-grade solutions for resilient services. 2025 secure agent moderation features.	API keys and environment variables; prompt guards for LLM reliability. 2025 secure integration guidance.
Developer Tools & Guardrails	Para CLI for Docker/Kubernetes deployments and management. Paracord UI for monitoring and analysis with actor hub and ledger capabilities. VSCode extension. Paraflow guardrails that enforce do’s and don’ts for reliability.	CLI and UI for monitoring and replay. SDK examples and tutorials; deterministic constraints for consistent behavior. 2025 AI debugging tools.	Console for inspection, tracing, and debugging. IDE plugins. Supervision strategies for fault-handling. 2025 orchestration tools for state visualization.	LangSmith for debugging, monitoring, and evaluation. Jupyter integration. Tutorials (including LangGraph introduction). Prompt/checkpoint guardrails for reliability.

FAQ: Developing on the Paranet

What is Paranet, and how does it work for developers?

Paranet is a decentralized network where actors (software agents, hardware wrappers, humans, or nodes) communicate via skills to achieve goals. As a developer, you build actors using Paraflow, which defines workflows through goals, events, rules, and tasks. Actors register on Paranet, enabling real-time collaboration.

How do I get started with Paraflow development?

Join our waitlist using the form below. We’ll send you an invitation email when we expand access to our developer kit.

What tools are available for Paranet development?

Para CLI: Foundational tool. Supports Docker/Kubernetes deploys, platform management, and more.

Paracord (Web App): A web interface connected directly to your paranet. Design, monitor, analyze, and manage your node from here.

VSCode Extension: Our extension is a helpful complement to every project developed in VSCode.

How do I build and deploy actors on Paranet?

We leverage containerization through Docker for local development and Kubernetes for production nodes. We have built-in commands via our CLI for straightforward deployment and more resources within our docs.

Where can I find more resources or support?

First, sign up for access to the kit above. Once you’re in, we offer extensive technical documentation, starter kits, playgrounds, and ticket support.

Get early access to the Paranet Developer Kit