Connect composable agent graphs to any software.
Connect composable agent graphs to any software.
Connect composable agent graphs to any software.
Add agency to new and existing systems with agents written in any language or framework. Keep your models and cloud providers, or route through Coral. Agent communication and orchestration built in.
Add agency to new and existing systems with agents written in any language or framework. Keep your models and cloud providers, or route through Coral. Agent communication and orchestration built in.
Add agency to new and existing systems with agents written in any language or framework. Keep your models and cloud providers, or route through Coral. Agent communication and orchestration built in.
Use with
Claude
Codex
1/plugin marketplace add Coral-Protocol/coral-skill-set2/plugin install coral-skills@coral-skill-set3/reload-pluginsUse with
Claude
Codex
1/plugin marketplace add Coral-Protocol/coral-skill-set2/plugin install coral-skills@coral-skill-set3/reload-pluginsFrom coding agent to application
Turn a system brief into a running agent team.
1 · Design
Build the graph that fits
Use supervisors and pipelines for known sequences. Use topic threads, negotiation or temporary coalitions when the work changes as agents learn.
Use supervisors and pipelines for known sequences. Use topic threads, negotiation or temporary coalitions when the work changes as agents learn.
Use supervisors and pipelines for known sequences. Use topic threads, negotiation or temporary coalitions when the work changes as agents learn.
2 · Bound
Give agents clear responsibility
Define who can communicate, what each agent owns and which actions require approval. Keep durable product data in your application.
Define who can communicate, what each agent owns and which actions require approval. Keep durable product data in your application.
Define who can communicate, what each agent owns and which actions require approval. Keep durable product data in your application.
3 · Connect
Run it inside your product
Create an isolated session for each request. Pass in custom tools, surface progress through the API and receive results through webhooks.
Create an isolated session for each request. Pass in custom tools, surface progress through the API and receive results through webhooks.
Create an isolated session for each request. Pass in custom tools, surface progress through the API and receive results through webhooks.
4 · Inspect
See and control the work
Inspect agents, threads and message telemetry. Route models, configure fallbacks and control cost from one runtime.
Inspect agents, threads and message telemetry. Route models, configure fallbacks and control cost from one runtime.
Inspect agents, threads and message telemetry. Route models, configure fallbacks and control cost from one runtime.
FROM RESEARCH TO APPLIED AI
From Coral Research to real-world engineering.
CORAL AI LABS · RESEARCH
AUTORESEARCH
Autoresearch with mandatory coordination
Run parallel research agents against a measurable evaluator. Every 16 evaluations, the team stops in one Coral thread to compare evidence, assign non-overlapping directions and resume the search. In Coral AI Labs’ reported runs, this cleared the prior record on all three tasks.
Run parallel research agents against a measurable evaluator. Every 16 evaluations, the team stops in one Coral thread to compare evidence, assign non-overlapping directions and resume the search. In Coral AI Labs’ reported runs, this cleared the prior record on all three tasks.
APPLIED AI
PROCESS ENGINEERING · EPC · INDUSTRIAL MANUFACTURING
Optimise a process route across a compressor skid
Route a DN50 two-phase process line across an 8-metre reciprocating-compressor skid. Coral evaluates candidate routes against 14 hard engineering constraints, then compares feasible solutions across pipe, elbows, supports and pumping energy.
Route a DN50 two-phase process line across an 8-metre reciprocating-compressor skid. Coral evaluates candidate routes against 14 hard engineering constraints, then compares feasible solutions across pipe, elbows, supports and pumping energy.
CORAL AI LABS · SOFTWARE RESEARCH
AGENT RADIO
Keep agents aware without stopping their work
Agent Radio studies how coding agents share findings during long-horizon repository work. In the reported SWE-Atlas QnA study, the full four-agent setup reached 62.1% versus 32.3% for one agent under the stated Claude Code and Opus 4.6 configuration.
Agent Radio studies how coding agents share findings during long-horizon repository work. In the reported SWE-Atlas QnA study, the full four-agent setup reached 62.1% versus 32.3% for one agent under the stated Claude Code and Opus 4.6 configuration.
APPLIED AI
CORAL CODE · SOFTWARE ENGINEERING
Turn one Codex task into a task-shaped agent graph
Coral Code turns a developer-directed Codex task into a task-shaped agent graph. Short-lived scouts work from live IDE semantics and recorded execution paths; useful branches are promoted into bounded roles, while owned changes return with evidence, attribution, unresolved checks and model usage visible.
Coral Code turns a developer-directed Codex task into a task-shaped agent graph. Short-lived scouts work from live IDE semantics and recorded execution paths; useful branches are promoted into bounded roles, while owned changes return with evidence, attribution, unresolved checks and model usage visible.
CORAL AI LABS · GENERAL AGENT RESEARCH
GAIA · ANEMOI · BEYOND WORKFLOWS
Replace fixed workflows with agent-directed information flow
ANEMOI tested direct specialist collaboration on GAIA. Beyond Rule-Based Workflows then let an information-flow orchestrator redirect the team as evidence arrived. With roles and models held constant, the reported dynamic Coral configuration reached 63.64% GAIA pass@1 versus 55.15% for OWL.
ANEMOI tested direct specialist collaboration on GAIA. Beyond Rule-Based Workflows then let an information-flow orchestrator redirect the team as evidence arrived. With roles and models held constant, the reported dynamic Coral configuration reached 63.64% GAIA pass@1 versus 55.15% for OWL.
APPLIED AI
RENEWABLE ENERGY · OPERATIONS
Coordinate a renewable-energy operating plan
Coral coordinates generation forecasting, demand planning, storage and grid, and asset-health specialists in one session. As conditions change, agents share updates and return one operating plan for operator review.
Coral coordinates generation forecasting, demand planning, storage and grid, and asset-health specialists in one session. As conditions change, agents share updates and return one operating plan for operator review.
Take long, connected work beyond one agent.
Take long, connected work beyond one agent.
Take long, connected work beyond one agent.
Take long, connected work beyond one agent.
Build the graph with Coral Skills. Run it inside your application with CoralOS. Move hosted workloads to Coral Cloud, or use coral-code when the application is your codebase.
Build the graph with Coral Skills. Run it inside your application with CoralOS. Move hosted workloads to Coral Cloud, or use coral-code when the application is your codebase.
Build the graph with Coral Skills. Run it inside your application with CoralOS. Move hosted workloads to Coral Cloud, or use coral-code when the application is your codebase.
Controlled enterprise deployment
Bounded autonomy for regulated environments.
For enterprise teams operating under the EU AI Act and adjacent requirements, Coral supports on-prem deployment, isolated sessions, scoped tools and explicit approval boundaries. It gives engineers deterministic controls around probabilistic models, with inspectable threads and execution records for review.
For enterprise teams operating under the EU AI Act and adjacent requirements, Coral supports on-prem deployment, isolated sessions, scoped tools and explicit approval boundaries. It gives engineers deterministic controls around probabilistic models, with inspectable threads and execution records for review.
The research behind CoralOS
Coral AI Labs tests whether coordination helps agent systems complete more work with the models developers already use. The research spans software engineering, tool-using knowledge work and autonomous experimentation.
Across 124 SWE-Atlas Q&A tasks, structured coordination raised Opus 4.6 task resolution from 32.3% to 62.1%.
Across 124 SWE-Atlas Q&A tasks, structured coordination raised Opus 4.6 task resolution from 32.3% to 62.1%.
Read the methods, task-level results and reproducibility materials at Coral AI Labs.
Explore Coral Research
Explore Coral Research
FAQ's
Is it secure? How do you ensure security?
How scalable is the platform?
What level of expertise is required to use it?
Can we use our own agents?
How fast can we get onboarded?
What ongoing support will we need?
Subscribe to our newsletter
Join the waitlist to keep up with Coral OS.
©2026 CoralOS Inc, Delaware, USA
FAQ's
Is it secure? How do you ensure security?
How scalable is the platform?
What level of expertise is required to use it?
Can we use our own agents?
How fast can we get onboarded?
What ongoing support will we need?
Subscribe to our newsletter
Join the waitlist to keep up with Coral OS.
©2026 CoralOS Inc, Delaware, USA
FAQ's
Is it secure? How do you ensure security?
How scalable is the platform?
What level of expertise is required to use it?
Can we use our own agents?
How fast can we get onboarded?
What ongoing support will we need?
Subscribe to our newsletter
Join the waitlist to keep up with Coral OS.
©2026 CoralOS Inc, Delaware, USA