HyperAgentClosed-Beta PartnerAgent fleets that learn, deliver, scale.
HyperAgent is the platform for teams that want to operate not a chatbot but an entire workforce of autonomous agents – with skills, roles, fleet management, and LLM-as-Judge evaluation.
Skill Library
How work gets done – reusable
Role Deployment
System prompt + skills + tools + trigger
Fleet Management
Usage, performance, cost in one place
What sets HyperAgent apart from ChatGPT & co.
Six building blocks that together form a platform – not the next chat app.
Out-of-the-Box Power
Browser, shell, code execution, file system, and hundreds of integrations from second one. No plugin setup like ChatGPT.
Learnable Skills
Skills codify how work gets done – e.g. your refund process or your press-release voice. They improve with every run.
Deployable Roles
A tested agent becomes a role: system prompt, skills, tools, model, budget – bundled and triggerable from Slack.
Fleet Management
Monitor all agents centrally: usage, performance, cost. Every run is scored by LLM-as-Judge against eval rubrics.
A/B Testing built-in
Any change to model, prompt, skill, or tool can be compared systematically – instead of trial and error.
Enterprise-Ready
Granular tool permissions, per-role budget limits, and an audit trail across every agent run.
Four fleets we build today
HyperAgent scales where a single agent isn't enough – but excellence must become reproducible.
Sales Fleet
Outbound research, CRM hygiene, first-touch drafts – multiple agents in parallel, each with their own skill library.
Support Fleet
Tier-1 triage in Slack, tier-2 escalation with tool access. Every run is measured against quality rubrics.
Research Fleet
Market analysis, competitor tracking, quarterly briefings. Skills for source validation deliver reproducible quality.
Ops & Eval
Improve existing agents systematically: A/B tests for prompts, swap in new models, ship skill updates safely.
HyperAgent vs. Manus AI vs. Lindy vs. ChatGPT: which agent platform fits which team?
Four tools, four philosophies. This matrix shows where each platform is strong – and which gaps HyperAgent closes that a classic workflow builder or single-task agent structurally cannot.
Skills, roles, fleet & eval. Closed beta.
Autonomous single tasks. Strong at browsing.
Pre-built flows. Fast entry point.
Chat & tool use. No fleet model.
Learnable skills
Reusable, versioned capabilities instead of one-off prompts.
- HyperAgent
- Manus AI
- Lindy
- ChatGPT
Multi-agent / fleet
Orchestrate multiple roles without them blocking each other.
- HyperAgent
- Manus AI
- Lindy
- ChatGPT
A/B testing built-in
Compare skill variants objectively head-to-head.
- HyperAgent
- Manus AI
- Lindy
- ChatGPT
LLM-as-Judge eval
Score quality per run – instead of guessing.
- HyperAgent
- Manus AI
- Lindy
- ChatGPT
Slack trigger deployment
Trigger the role where the team already works.
- HyperAgent
- Manus AI
- Lindy
- ChatGPT
Available now
HyperAgent is closed beta, the others are GA.
- HyperAgent
- Manus AI
- Lindy
- ChatGPT
Best for
Where each platform plays its structural advantage.
- HyperAgent
- Agent teams
- Manus AI
- Solo tasks
- Lindy
- Workflow teams
- ChatGPT
- Individuals
Summary in one sentence
If you need an autonomous single task, pick Manus AI. If you want fast workflow automation, pick Lindy. If you want to run multiple agents as a team with skills, evaluation, and budget control, build on HyperAgent.
All 5 building blocks of an AI agent – covered
Runtime · Channels · Memory (skills) · Tools · Self-scheduling. Most platforms cover 2–3. HyperAgent delivers all five.
See the 5 building blocksContinue the journey
HyperAgent is just the platform. What to read before and after:
FAQ
We get you on the beta list.
As closed-beta partners we can fast-track teams that are seriously building an agent fleet – including skill library, eval rubrics, and rollout plan.
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