Overview / Description
AgentFlow is an AI agent orchestration platform that lets teams design, deploy, and run privacy-first multi-agent workflows for DevOps, lead generation, and research tasks. Built on the OpenClaw orchestration engine, it structures agents into coordinated clusters that execute deterministic and non-deterministic tasks reliably around the clock, with self-healing capabilities that keep workflows running without manual intervention.
The platform is built around a privacy-first architecture: agents run on self-hosted or managed infrastructure, no data is used to train models, and workflow configurations are fully portable so teams avoid vendor lock-in. Transparent logging shows exactly what data is processed, where, and when.
AgentFlow routes model usage intelligently — roughly 90% of a workflow runs on zero-cost open-source models, with fast-inference paths for speed-critical steps and frontier model routing reserved for the hardest reasoning problems. This keeps costs low without sacrificing output quality.
Plans start at $0 for the free tier and scale to $35/month (Pro, which includes a free managed VPS and 100M tokens per month at 1,500 RPM) and $100/month plus usage (Scale, with 12+ vCPU infrastructure and custom token limits). Staged rollback, roles and permissions, and a custom monitoring dashboard are included from the Pro tier upward.
A workflow marketplace and architect agent — for generating workflows from natural language — are on the public roadmap for Q2 2026. AgentFlow is aimed at prosumers, small teams, and enterprises that want agentic automation at a cost they can actually control.
Used For
DevOps pipeline automation, AI lead generation workflows, research and data extraction, multi-agent task orchestration, proprietary process automation, 24/7 unattended workflow execution, self-hosted AI agent deployment, LLM cost optimisation via model routing, team collaboration on agentic workflows, staged rollback for workflow versioning
Pricing
Pros & Cons
Pros
- OpenClaw orchestration engine runs deterministic and non-deterministic multi-agent clusters 24/7 with built-in self-healing
- Privacy-first by default: self-hosted infrastructure, no training on user data, no platform lock-in, and transparent logging
- Smart model routing runs 90% of workflow tasks on zero-cost open-source models, reserving frontier models for complex reasoning steps
- Pro plan includes a free managed VPS and 100M tokens/month (1,500 RPM) for $35/month, making it accessible for solo developers and small teams
- Staging and rollback support lets teams test workflow changes risk-free and revert instantly to previous versions
Cons
- Free tier does not include a managed VPS, staging/rollback, roles, or a custom dashboard — those require Pro ($35/month) or higher
- Architect Agent (natural language workflow generation) and the workflow marketplace are not yet live — both are listed as coming Q2 2026
- Scale tier pricing is usage-based ($100/month + usage), so costs are harder to predict for high-volume deployments
- No mention of native integrations with third-party SaaS tools (e.g. CRMs, ticketing systems) in current documentation
Alternatives
LangChain, n8n, Zapier, CrewAI, AutoGen