Accio Work

Agently is an AI Work OS that integrates with a company's software stack to build a centralized "company brain" and deploy autonomous agents to perform tasks and workflows. The platform describes an orchestration component named Jarvis that coordinates those agents across the stack.

Zapier is an automation and AI orchestration platform for connecting business applications, data, AI models, and agents. Its workflows use triggers and actions to move information between tools and perform tasks such as formatting new Asana projects, connecting incoming email to OpenAI for a customer-service workflow, scheduling recurring scrapes, and sending notifications when qualifying data appears. The Zapier site says it supports workflows and agents across more than 9,000 app integrations, with governed access, model management, and guardrails. It also provides Zapier MCP for connecting AI clients such as Claude, ChatGPT, Cursor, and OpenClaw to configured tools, plus a beta Zapier SDK and SDK CLI for building integrations.

Hyperagent is an AI agent platform for assigning work to a fleet of agents that research, build, deliver and maintain outputs using an organization's data, tools and working style. Its agents operate through real browsers and shells, can search, code, make decisions and generate artifacts such as live websites, videos, presentations, documents and dashboards. Agents run in individual computing environments, expose their execution as it happens, and can learn new memories and skills over time. Work is delivered through Slack, email, Telegram, webhooks or scheduled runs, and agents are deployed and managed from a central command center.

A serverless AI inference platform from Cloudflare that runs machine-learning models on Cloudflare's network and exposes them through the Workers platform. It supports tasks such as text generation, image generation, speech recognition, and text embeddings, making it usable for applications including semantic search.

OpenWorker is an open-source desktop AI coworker that produces finished deliverables from everyday tasks, including code-security reviews with proposed fixes, cloud-configuration audits, incident reports, documents, spreadsheets, drafted messages, and scheduled briefs. It runs on the user's machine through a native desktop app and a local Python agent server built on aisuite, working across local files, the terminal, connected applications, and more than 25 connectors. Specialist coworkers cover security review, cloud posture, incident triage, everyday work, and recurring automations; security review combines deterministic scanners such as Semgrep with model reasoning, then re-scans and diff-reviews proposed fixes before approval. The agent breaks requested outcomes into steps and uses models from providers such as OpenAI, Anthropic, and Google, open-weight providers, or a local Ollama deployment, with the user supplying model access. Consequential actions—including sending messages, changing calendars, and running commands—are approval-gated. Its governance design includes human-only floors for dangerous or irreversible operations, explicitly granted and revocable autonomy rules, circuit-breaker escalation for uncertain or repeatedly denied actions, and an audit trail recording tool calls, approval provenance, and reviewer reasoning; unattended runs cannot self-approve. The project is in open beta and provides downloads for macOS on Apple Silicon and Windows on x64.