What is A.R.C.?
A.R.C. (Agentic Reasoning Core) is a distributed intelligence orchestration engine—an open-source framework that transforms weeks of infrastructure setup into a single command.
Platform, Not Library
A.R.C. is a complete ecosystem. One CLI cmd build your entire platform with battle-tested open-source working in harmony.
Minutes, Not Months
From idea to production deployment. Skip the infrastructure assembly and focus immediately on your agent's unique logic and capabilities.
Your Stack, Your Rules
Built on open standards. Every component is swappable. No proprietary cores, no vendor dependencies—just pure, open source.
Why Choose A.R.C.?
The complete platform for building production-ready AI agents
Truly Open-Source
100% of our core stack is FOSS (Apache 2.0, MIT, MPL). No BSL, no source-available, no non-compete clauses.
Platform-in-a-Box
A.R.C. provides foundational services like auth, messaging, and observability out of the box, so you can focus on building.
Modular & Pluggable
Built on open standards, A.R.C. is designed to be flexible and extensible, allowing you to bring your own tools.
Polyglot Architecture
Best of all worlds: high-performance Go CLI and gateway, powerful Python AI ecosystem. Use the right tool for each job.
Cloud-Native
Built with cloud-native patterns, fully containerized, horizontally scalable, and ready for any deployment environment.
Event-Driven
Durable streaming with Apache Pulsar and ephemeral messaging with NATS for real-time, distributed intelligence.
Distributed Intelligence
A.R.C. is the scalable backbone for creating and orchestrating powerful AI agents and intelligent systems.
Stateful Agents
Long-term memory and persistence with PostgreSQL + pgvector for agents that remember and learn over time.
Self-Hosted
Complete control over your data and infrastructure. Privacy-first with no vendor lock-in or external dependencies.
The A.R.C. Journey
From design to deployment in four steps
1. Design Your Agent
Define your agent's capabilities, context windows, and reasoning patterns using A.R.C.'s declarative configuration—no infrastructure setup required.
2. Orchestrate Services
A.R.C. automatically provisions your tech stack—message queues, databases, observability tools—all pre-configured and working together seamlessly.
3. Implement Intelligence
Focus on your agent's unique logic while A.R.C. handles state management, context persistence, and distributed coordination across your agent network.
4. Deploy & Scale
Ship to production with built-in monitoring, tracing, and scaling capabilities. Your agents run reliably from day one—no DevOps expertise needed.
Traditional vs A.R.C.
See the difference in approaches
Other Way
- ⏰ Days of infrastructure setup
- 🔧 Manual service integration
- 🔒 Vendor lock-in risks
- 🐛 Complex debugging process
- 📈 Scaling challenges
- 👓 Limited observability
- 💸 High maintenance costs
- 📚 Steep learning curve
The A.R.C. Way
- ⚡ Single command deployment
- 🔗 Pre-integrated services
- 🆓 Open source freedom
- 🔍 Built-in debugging tools
- 🚀 Auto-scaling infrastructure
- 📊 Full observability
- 💰 Cost-effective solution
- 🎯 Production-ready instantly
Powerful Use Cases
See how A.R.C. powers real-world applications
Build AI Agents
Leverage A.R.C. to create sophisticated AI agents that can reason, learn, and interact with the world.
Scalable AI Platforms
Use A.R.C. as the foundation for your own AI platforms, providing a robust and scalable environment for development.
Intelligent Automation
Automate complex workflows and processes with intelligent agents built on top of A.R.C.'s distributed architecture.
Get Up and Running in Minutes
Start building production-ready AI systems today
Explore the Docs
Follow our guides to understand the core concepts and start building your own intelligent systems.
Explore Documentation