01 / NODE
Discover resources
Describe CPU, GPU, memory, network, and local policy constraints.
Experimental research system
RACoN
Reciprocal Agentic Compute Network
An experimental coordination layer for discovering, evaluating, and assigning computational workloads across heterogeneous machines.
FIG. 01 / COORDINATION MODELRACoN
Research question
Can idle and distributed compute resources be coordinated dependably while accounting for capability, network conditions, trust, and workload requirements?
Related research ↗Download / Quick start
Start with a verified release.
macOS
Release package not yet published.
Windows ARM64
Release package not yet published.
Conceptual architecture
Discover. Coordinate. Evaluate.
The research model separates resource discovery, workload decisions, and observation. These are design objectives, not a claim of released capabilities.
02 / COORDINATOR
Assign workloads
Investigate scheduling decisions that account for capability, locality, trust, and availability.
03 / OBSERVABILITY
Measure the system
Evaluate latency, utilization, failures, and fairness against defined baselines.
Technical reference
Documentation
Getting Started
Not yet published
Architecture
Not yet published
Node Setup
Not yet published
Coordinator
Not yet published
Scheduling
Not yet published
Network Model
Not yet published
Security
Not yet published
CLI Reference
Not yet published
Developer Guide
Not yet published
API Reference
Not yet published
Contributing
Not yet published
Learn the system
Video tutorials
Evaluation before claims
Benchmarks & limitations
Results need a reproducible method.
Benchmark results will be published with hardware details, workload configurations, comparison baselines, and limitations. No performance figures are currently published.
Development record
News & changelog
RACoN Preview 0.1 — Sample
Sample release record showing where verified packages, checksums, compatibility notes, and change summaries will appear.
Release ↗RACoN Preview 0.1 — Sample
Sample Windows release entry for layout and metadata testing. Replace with an actual package before public release.
Release ↗Build with the laboratory
A shared engineering effort.
Explore the source
Contribute to reproducible experiments, resource models, documentation, and evaluation.
The public repository will be linked when available.Join the discussion
Share research questions and help examine the assumptions behind the system.
Community access will be announced here.RACoN · Assistant
Chat with the MetaDemic Lab assistant
Ask about RACoN, the research areas, or how to collaborate — answers stream in as they are generated, and you can attach images for visual analysis.
Community perspectives
What people say
Sample community quote: the research notes make assumptions and limitations easy to inspect before discussing performance.
Sample Research Collaborator ↗
Sample community quote: the project structure connects technical implementation with the research question it is intended to test.
Sample Engineering Contributor ↗
Support open research
Help sustain the work.
Contributions help maintain research infrastructure, experiments, documentation, open-source development, and public technical resources.
Financial contributions are not available yet.Contribute your expertise ↗