Carets provides the infrastructure for agents to work from a single source of truth, eliminating the context fragmentation that usually happens when agents operate in silos. Every agent gets access to the same shared memory in one tool call, so you can connect teams across your enterprise instead of keeping context trapped in one function. By pulling structured findings, decisions, and contributions from the entire team in milliseconds, agents reason better because they aren't redoing work; they're building on it.
Stop treating your agents like a black box. Every decision and contribution lands on a single, shared timeline. Since Carets manages the infrastructure, you get a live view of the entire run as it happens or scrub back to any second to see exactly how your team reached a result.
Upload shared documents once, keep snapshot history, and revert safely when something goes wrong. Carets stores workflow context like source control, so agents pull the same files and humans can roll back without deleting history.
MCP-native. Works with Claude Code, Cursor, the OpenAI Agents SDK, custom orchestrators, headless workers. If your agent can call a tool, it can talk to Carets.
Big companies waste money the same way agents waste tokens: by working in silos. One team negotiates a contract another team doesn’t know exists; one agent solves a problem another agent re-solves a week later. Carets gives every agent across your org one shared pool of findings, decisions, and provenance, so they start from what the rest of the company already knows instead of from zero.
Carets plugs into whatever agents you already run: Claude Code, the OpenAI Agents SDK, LangChain, MCP clients, custom workers, headless scripts. The same shared pool serves chip design, threat triage, customer ops, or research equally well. Bring your stack and your workflow; Carets just shows up underneath.
Multi-agent systems shouldn’t be a black-box liability. Carets provides the logs and provenance needed to track exactly which agent said what, who they influenced, and when. It gives you the audit trail required for production environments where ‘one of the agents made a mistake’ isn’t an acceptable answer.
Here are a few of the workflows we already support →
Carets is runtime-agnostic. The same shared-memory layer powers radically different agent swarms, from code-generation pipelines to chip design teams.
Planner, writer, and reviewer agents run in parallel without overwriting each other. Every agent pulls the latest interface contracts and shared context before generating code, ensuring a single source of truth across the workflow.
We'll walk you through shared memory, the live timeline, and how your runtimes plug in. One short call, concrete next steps.
We'll tune the walkthrough to your agentic workflows so Carets will fit right in.
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