Managed agents
forany harness

Agent infrastructure to enable the right harness, model, and context for every task.

Harness-model fit

Choosing the right model is only part of the equation. Pairing it with the right harness, context, and taste is what makes an agent actually work.

Claude Code
Cline
Codex
Cursor
Deep Agents
OpenCode
Pi
Bring your own

Every agent gets a computer

Every agent runs on an isolated machine with a terminal, filesystem, and browser. Fully managed out of the box, with zero infrastructure to configure.

The right context at the right time

Easily mount git repositories, files, memory, and skills. Give your agents the exact context needed for each task.

Connect to any MCP or API

Give your agents tools across thousands of MCPs and APIs. With encrypted credentials, automatic token refresh, and permissions handled for you, focus on picking the best tool for the job.

Work & Communication

Team chat, workspaces, calendar schedules, and email automation.

Code & Product

Issue tracking, design tokens, error monitoring, and code repositories.

Web & Research

Deep research, web crawling, neural search, and live browsers.

Data & Infrastructure

Cloud databases, serverless platforms, edge compute, and metrics.

Business & Automation

Payments, CRM pipelines, storefront orders, and workflow triggers.

And thousands more

Every service with an MCP server or OpenAPI spec works out of the box.

Bring your agents to any channel : iMessage, Slack, Discord, Telegram, WhatsApp, Microsoft Teams, or your own over the API

Connect agents to your existing channels or integrate via API. Every session is saved to an exportable log, so you truly own your data and can continuously improve your agents.

maya09:22:31via slack #support
Acme’s nightly export has been sitting in `queued` since 02:10 and their CSM is asking for an ETA. Can you find out what’s wrong and get it moving?
Fizz09:22:31claude-code

Thought for 2.1s

Dead runner runner-11 held the lock on Acme’s export jobs. Releasing the claim and requeuing.

Found it, and it’s moving.

runner-11 died while holding the lock on Acme’s three export jobs. With maya’s approval, I released the claims and requeued the jobs. 1 of 3 finished; the rest will land in ~10 minutes.

Idle · replied in #support

Session

IDsesn_01J9A3RXK7QF2M8VZ0T4HDN6CE
StatusIdle
Workspacewrkspc_acme-prod
Channel
AgentFizz agent_fizz
Harnessclaude-code on frontier-lg
Environmentsupport-desk-env
Vaultsacme-replica-ro, sentry, slack
Memorysupport-runbook
CreatedThu, Jul 16 · 09:22:28
UpdatedThu, Jul 16 · 09:23:19

Run

Runrun_7f31
Attempts1
Approvals
Ledger22 events · exportable as JSON

Cost

Model (38.4k / 2.1k)$0.17Sandbox compute$0.02Total$0.19

Build AI-native products

From coding orchestrators and personal assistants to team coworkers and autonomous agents, build what’s next on Checkfu.

Coding Orchestrator

Fleets of parallel coding agents running inside isolated cloud microVMs with git worktrees and automated pull request generation.

  • Multi-agent dispatch with architect and coder roles
  • Ephemeral git worktrees & sparse repository checkouts
  • Automated test runs and feedback repair loops
  • Human approval gates before applying code changes

Personal Assistant

A 24/7 personal executive assistant with long-term memory, daily schedule triage, and proactive morning briefs.

  • Persistent scoped memory store across sessions
  • Google Calendar & Gmail integration via vaulted OAuth
  • Daily morning briefings & proactive schedule triage
  • Direct conversational channels in Telegram & Slack

Coworker

In-channel teammates collaborating with engineering and product teams inside shared Slack and Discord threads.

  • Native Slack thread bindings with live turn streaming
  • Linear issue creation & Figma spec verification
  • Shared team workspace memory & project handbooks
  • In-thread human approval buttons for write actions

Employee

Autonomous back-office agents classifying compliance documents, auditing risk factors, and tagging files in enterprise vaults.

  • Zero-data-retention (ZDR) isolated sandboxes
  • Automated PII detection and taxonomy extraction
  • Enterprise cloud storage & Box vault writeback
  • Cryptographic audit trails for governance

Bot

A crew of lightweight bots you message like contacts, each with its own durable computer, coordinated as one crew and reachable over A2A.

  • One bot per line, each on its own harness and model
  • A durable computer and browser per bot that outlive any session
  • Crew threads through a coordinator, visible in the ledger
  • Routines on a schedule, a human for the yes, an A2A card for everyone else

Everything your agent needs, managed

Focus on what differentiates your product experience with the right choice of model, harness, context, and taste.

Durable sessions

Survive crashes and resume runs from the event log.

Sandboxes

Isolated cloud or local compute decoupled from the loop.

File mounts

Stage Git repos and files with zero app-side git.

Credentials

Vaulted tokens with auto-refresh. Secrets stay hidden.

Permissions

Personal vs. workspace scopes with human ActionApprovals.

Connectors

Call MCP tools and APIs without custom protocol glue.

Automations

Proactive runs triggered by schedules and webhooks.

Memory

Scoped memory stores that auto-update from sessions.

Channels

Bind Slack and Telegram threads with delivery queues.

Multiagent

Coordinators delegating tasks to subagent teams.

Outcomes

Grade runs against success rubrics before closing.

Skills

Versioned prompts and scripts agents load on demand.

Managed agents for any harness

Pick the harness and model. Checkfu runs everything around them.