Acknow vs Hiveflow
Acknow
acknow.ai
Hiveflow
hiveflow.aiSide by side
| Figure | Acknow | Hiveflow |
|---|---|---|
| Price from | $499/mo | $33.08/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Plans published | 4 | 3 |
| Spec score · AI Workflow Automation Software | 7.7 (#17) | 9.2 (#2) |
| Channels | Acknow says agents can work across chat, email, and webhooks. | Flows can be triggered by chat widgets, public forms, WhatsApp, HTTP webhooks, browser extension, desktop and mobile apps, CLI, MCP clients or schedules. |
| Integrations | The integrations page lists GitHub, GitLab, Jira, Linear, Slack, PagerDuty, Datadog, Zendesk, Intercom, Freshdesk, HubSpot, Salesforce, and Notion. | The homepage names OpenAI, Anthropic, Gemini, Mistral, Groq, WhatsApp, Slack, Gmail, Notion, Airtable, PostgreSQL and Salesforce integrations. |
| Product | Acknow describes itself as a multi-agent orchestration platform for automating customer support, bug triage, documentation, and operational workflows. | Hiveflow describes itself as a visual platform for building, running and monitoring AI workflows and agents. |
| Security | Acknow describes strict access controls, audit trails, configurable autonomy levels, and a zero-trust architecture. | The Trust Center states that stored sensitive data uses AES-256-GCM encryption, connections enforce TLS 1.2+, and user code runs in isolated Firecracker micro-VMs via E2B. |
| Support | The contact page offers a 30-minute platform walkthrough and lists [email protected] for email inquiries. | The Professional plan includes priority email support. |
Plans
Acknow
- Starter$499 a month
- Growth$999 a month
- Scale$2,499 a month
- EnterprisePriced on request
In their own words
Hiveflow
Hiveflow is a visual platform for building, running and monitoring AI workflows and agents. Its drag-and-drop canvas lets users assemble workflows from nodes, connections, prompts and model settings. The catalog includes 44+ node types, such as LLM agents, HTTP, database, memory, loops, human-in-the-loop and MCP nodes. Triggers can be scheduled or respond to events, webhooks, file changes or custom conditions; flows also support branching logic, loops and retries. Named model options include OpenAI, Anthropic, Gemini, Vertex, Bedrock, Groq and Mistral, with managed or bring-your-own keys. Hiveflow lists 100+ integrations, including messaging, productivity and database services. Monitoring covers execution metrics, errors, debugging, alerts and cost analysis, while team workspaces support sharing, comments, reviews and role permissions. It runs on Android, iOS, Linux, macOS, Windows, web, API and extension platforms. A free option is available. Professional is listed from $397/mo, billed annually, with 25,000 executions/month and up to 25 workflows.