AgentMesh.help
Freemium
Developers integrating AI agents into task workflows
Finance shipped an app on a personal Vercel account. Marketing is running Claude Code sessions nobody can audit. Someone committed an API key to GitHub. Tines 3B exists for the moment after you told everyone to use AI and realized you have no idea what they built or where it's running.
Tines 3B is an agent and automation platform aimed at IT and security teams who need to give the rest of the organization room to build without losing visibility or governance. The core loop is this: non-technical teams build workflows and agents on a shared canvas, while IT and security retain a control layer — approving what goes live, governing which LLMs are used, and monitoring what those agents touch. The vendor-agnostic LLM routing means you can swap models without rebuilding workflows. Anomaly detection flags potential breaks and surfaces suggested fixes, but the docs are clear: nothing goes live without you signing off. Self-hosted deployment is available for teams whose data cannot leave their own infrastructure.
Bottom line: Pick Tines 3B when your security team needs to govern employee-built automations at scale — and plan for friction when a data science team wants low-level Python control over agent logic that the no-code canvas was never designed to express.
Unlimited users, spaces, and connectors. 3 live workflows. One time $50 AI allowance.
Unlimited workflows and flexible deploy options.
View full pricing on tines.com →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
More options in AI Agent Apps. Compare pricing, platforms, and features side by side.
Freemium
Developers integrating AI agents into task workflows
Freemium
Agencies and consultancies
Finance shipped an app on a personal Vercel account. Marketing is running Claude Code sessions nobody can audit. Someone committed an API key to GitHub. Tines 3B exists for the moment after you told everyone to use AI and realized you have no idea what they built or where it’s running.
Non-technical teams build workflows and agents on a shared canvas. IT and security keep an approval layer before anything goes live, pick which models run, and watch what the agents touch. The routing works across different LLMs so a model swap stays a settings change rather than a rebuild. Anomaly detection flags breaks and suggests fixes. A self-hosted option exists for teams with data rules that block shared cloud tools. The free tier starts at three live workflows and a one-time $50 AI allowance.
IT service delivery, security operations, and cross-team automations are the stated use cases. Teams that need governance over employee-built tools get the strongest match. The same approval steps that protect production add steps for groups that want to ship and tweak daily. Complex branching and sub-agent logic also hit limits on the visual canvas, often pushing teams to add scripting.
Best for IT and security teams that must keep control while the rest of the organization builds, and for groups that need self-hosted deployment. Skip it if fast iteration without sign-offs is the main requirement or if security workflows quickly outgrow the canvas.
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