Smarter agents designed to work as a team

Each agent is carefully scaffolded from your SOPs and operating knowledge base and data, with its own memory, model, and detailed telemetry.

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Corin workspace / Agents
Agent profileProcedures and relevant history

Pricing analyst

Checks pricing rules and escalates exceptions for review.

Independent model
01 / CONTEXT
Declared knowledgePricing SOPs & examplesProcedures supplied by the team
Operating historyRelevant prior casesWithin permitted data access
02 / AGENT
Pricing analyst
MODEL ASSIGNMENTSelected per agentMay be from another vendor
Margin check · scoped tools
03 / RUN TRACE
  1. 01
    Context retrievedSOPs and relevant cases
  2. 02
    Rule checkedSkill and tool use recorded
  3. 03
    Review requestedException held for a person
Retained telemetryModel · tools · tokens · latency · cost · outcome

What shapes the team

What the business says. What it actually does.

Corin combines declared knowledge with operating history to propose the right roles and relationships. You review the design and control what each agent can use.

Agent context
Agent scaffoldPricing analyst
Context in useProcedures and examplesRelevant prior cases
ModelAssigned per agent
AccessWithin its permissions
The agent can follow the procedures your team supplies.Relevant history can inform its next decision within access boundaries.

Agent DNA

Create smarter, data-driven agents with unparalleled telemetry.

Each agent comes fully equipped with your business knowledge and operations data, the best model fit to its goal, and a wealth of performance and contextual data to share. Through the Agent2Agent (A2A) protocol, it can collaborate with compatible agents from other vendors when connected.

Telemetry & evaluation

Take away the guesswork when fine-tuning agents.

Every agent comes with a history you can inspect and changes you can test. Built-in Langfuse retains detailed logs of agent and model choices, tool calls, handoffs, tokens, latency, cost, and outcomes. Use that history to debug a run and backtest a proposed change against past work.

Explore debugging and traces ↗Explore backtesting and restoration ↗

Agent telemetry
Pricing analystModel evaluation

I would like to change the model to Qwen3.8-Max. What are the implications?

Select representative past casesRun the candidate on the same workInspect changes before switching

Keep reviewed outcomes where available.

Preserve the original trace for comparison.

Tokens, latency, cost and task quality where measured.

Token useSpeedCostAccuracy*
* Accuracy is evaluated where reviewed outcomes are available.

Durable work

One task can last weeks or months.

A schedule starts a new task each time. Corin can keep the same work item open across agents, people and external waits.

Temporal stores its state. When a reply or approval arrives, work resumes at the pending step.

Open source for builders

Inspect the agent. Adapt the parts that matter.

Start with an example. Review its configuration and traces, then adapt the model, memory, skills, tools and permissions to your work.

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