// — Autonomous agents
An AI agent doesn't answer.
It gets the job done.
A chatbot talks. An agent takes a goal, breaks it into steps, uses your tools, writes into your systems and hands back finished work. It has memory, and it works on its own — supervised and logged.
Let's build you one →// 01 — More than a chatbot
The difference is a category, not a nuance.
// 02 — What they are good for
Where an agent earns its keep.
Sales
Qualify leads, enrich, follow up, keep the CRM clean, draft proposals.
Support
Close Tier-1 tickets, triage, reply in multiple languages, escalate correctly.
Finance
Process invoices, reconcile, move data between systems, prepare reports.
Operations
Monitoring, scheduling, cross-app data moves, the recurring admin nobody wants.
// 03 — A few examples from the market
The landscape, made concrete.
Illustrative examples, not an endorsement or an exhaustive list. These are independent, third-party tools — we bring them up to make the category tangible. We pick the right tool for each job.
Microsoft Copilot Studio
Low-code agents that live inside Microsoft 365 — Teams, SharePoint, Dynamics, Power Platform. The default when your company already runs on Microsoft.
Salesforce Agentforce
CRM-native agents for sales and service, built on Salesforce. Strong when your revenue and support teams already live there.
Google Vertex AI Agent Builder
Build and deploy agents on Google Cloud with Gemini, wired into your data. The Google-stack option.
UiPath
Agentic automation on top of enterprise RPA, with on-prem options and cross-vendor orchestration. Built for large, regulated operations.
n8n
Fair-code, self-hostable workflow-automation platform with native AI-agent nodes. You wire up models, tools and 400+ integrations visually to build multi-step, tool-using agents. Strong for process automation (e.g. email→CRM→ERP chains).
Make
No-code automation on a visual canvas with 2,500+ integrations and AI agents. Approachable and cost-effective for smaller teams.
Zapier Agents
Automation-first agents across 8,000+ apps. Unmatched integration breadth for connecting the tools you already use.
LangGraph
A developer framework for production-grade, stateful agents with human-in-the-loop control. Maximum control, written in code.
CrewAI
A popular open-source framework for multi-agent “crews” — role-based agents that collaborate. Fast to prototype, code-first.
Grok Bot (xAI)
Always-on agents that each get their own cloud computer — browser, filesystem, terminal — sign into your existing tools (20+ services), and run multi-step jobs on a schedule. "Teach a task" by screen-recording a workflow once.
OpenClaw
Open-source personal agent that runs locally, keeps context across sessions and actually acts on your machine — files, messaging apps — extended by 100+ ready-made AgentSkills. Bring your own API key, no subscription.
Hermes Agent
Open-source, self-improving agent from Nous Research that lives on your server, learns from experience and writes its own skills. One gateway to 20+ channels, 40+ tools, persistent cross-session memory, virtually any model.
// our own — inside Odoo
AI for Odoo
Our security-first AI assistant and autonomous agents, built natively into Odoo. Grounded in your own database, any major provider (OpenAI, Anthropic, xAI, Gemini…), with human-confirmed writes, access policies, skills, memory and full audit logs.
Docs →// our own platform
EYAS
Our own self-hosted, modular agent platform: any AI engine, five-tier memory, audit log, EU AI Act-ready. Your AI, your rules, your machine.
Visit →// built by a friend
Marveen
An open-source (MIT) framework built on Claude Code for running a whole team of agents on Telegram or Slack — each with its own personality, memory and channel, delegating to one another while you sleep.
Visit →// The point
Only a few of the options.
The right one depends on the job.
New agent tools launch every month — this list is out of date by the time you finish reading it. The trendiest tool is rarely the right one; the right one fits your workflow, your data, your team and your budget. Choosing it — and making it deliver — is exactly what we do.
Not sure which fits? Book a 60-min audit →The tool is not the hard part.
Making it work is.
Open-source agents are powerful — but a tool is not a solution. The hard part is three things, and we own all three:
01
Knowing what to build.
The first question is not which tool — it is which of your processes is worth automating, and how far. Most AI projects fail because they automate the wrong thing. We find the highest-leverage work before a line is built.
02
Making it work.
Picking the right agent for the job, wiring it into your systems, testing across models and providers, shipping it with guardrails and a measurable target — not a demo that impresses once.
03
Keeping it working.
The models change every week — providers retire them, prices move, better ones appear. An agent left alone quietly drifts or breaks. We monitor, re-test and re-tune it so it stays accurate and alive.
60 minutes.
0 €.
1 action plan.
In one hour we'll map your top three workflows to automate, what it costs, and what it returns. Not a sales call.
Book the audit →