LotsAgent
EARLY ACCESS IS LIVE·

From idea to working agent
in minutes.

LotsAgent is the platform where you build, deploy, and run AI agents that do real work — with built-in memory, 100+ tools, and deployment across every channel. No infrastructure. No setup.

@lotsagent
Any model, no lock-in·100+ integrations·Durable execution·MCP & API
The core insight
Most AI projects don't fail on ideas.
They fail on setup.

Teams spend weeks wiring memory, tools, channels and retries — before the agent does anything useful.

How it works

Three steps. Production-ready from day one.

No YAML. No config files. No orchestration layer. Describe what you need, add tools, deploy — your agent is running across every channel you use.

01

Create

Describe your agent in plain English. The built-in Agent Builder configures identity, role, goals, and system prompt — you review before anything runs.

you › I need an agent that triages incoming support email.
agent-builder › drafting identity, tools needed: gmail, linear, slack…
02

Configure

Add memory, tools (100+ integrations), and skills via chat. Mix Gmail, Slack, GitHub, Calendar, Drive — your agent takes action across your actual stack.

+ gmail.read, gmail.send, linear.create
+ memory: per-customer (vector)
+ skill: response-library
03

Deploy

Run in LotsAgent. The same agent is instantly available via email, Telegram, API, MCP, and webhooks — from one setup.

▸ web acme.lotsagent.app
▸ email triage@acme.lotsagent.email
▸ mcp wss://mcp.lotsagent.com/acme
See it working

Watch an agent go from request to completed result

See how quickly you can create an agent, give it capabilities, and run a real workflow end to end.

Trusted providers behind every run

Vercel logo
Supabase logo
Composio logo
Inngest logo
Tinyfish logo
Platform stats

Usage you can actually track.

A simple snapshot of LotsAgent activity: agents, requests, tokens, and worked time.

30
Agents created

Agents created on LotsAgent.

5,442
Requests

Agent requests recorded across chat, tasks, API, and webhooks.

170.7M
Tokens

Total model tokens processed.

57h 53m
Worked time

Total measured agent runtime.

The platform

Everything built in. Nothing to wire together.

Memory, tools, channels, scheduling, retries, audit trails. The infrastructure underneath every LotsTech product — and now yours.

◉

Persistent memory

Agents remember context across every run. User-specific, agent-specific. Continuity improves over time — no repeating yourself.

run #1Sarah asked about annual pricing
run #7Sarah's team size: 12 · billing: credits
run #24Sarah's trial ends Apr 30 — renew offer ready
◈

Any model, no lock-in

OpenRouter, OpenAI, Anthropic, or bring your own key. Swap per agent.

defaultclaude-sonnet-4.5
byokuser_openai_key
⇄

100+ integrations, ready

Gmail, Slack, GitHub, Calendar, Drive, Notion, Linear, Stripe — hundreds more via Composio.

Gm
Sl
Gh
Cal
Dr
No
Li
St
Sf
Hs
Ai
+92
☍

Multi-channel by default

One setup. Every channel. Build once, reach users where they already are.

WWeb UI@Email✈Telegram{}APIMMCP→Webhooks
◷

Tasks & scheduling

Cron schedules, email triggers, webhooks — orchestration without an orchestration layer.

0 9 * * MON→ weekly.digest()
on email→ triage.run({from, subj})
on push→ release.reporter()
◆

Durable execution

Every run is checkpointed. If something fails, it retries from the last step — not from scratch. Powered by Inngest.

step 1/5✓ fetch_lead
step 2/5✓ enrich
step 3/5↻ gmail.draft retry 1/3
⌘

Subagents

Break complex work into focused agents that hand off to each other.

▸ intake
├ classifier
├ enricher
└ responder
✦

Agent Improver — agents that get better with use

Agents analyse their own execution feedback and propose improvements to their own configuration. You review every change before it's applied. Capable agents, accountable to humans.

proposalAdd clearbit.company — missed ARR on 18% of leads last 7d
proposalReduce max tokens to 2k — avg response uses 1.6k
statusawaiting your review · 2 pending
Why teams choose LotsAgent

Capable enough for real work. Accountable to humans.

We call it HTTL — Human-to-the-Loop. Every agent has a complete identity, full execution history, and an audit trail. Not a black box.

α

Fully flexible

Any model, any prompt, any tool. Credits-backed model routing and BYOK are both supported. No vendor lock-in at any layer.

β

Chat-first building

Configure instructions, tools, memory, and skills in chat. Refine as your workflows evolve.

γ

Real tool access

100+ app integrations. Agents complete work across your actual stack — not just generate responses.

δ

Clear control

Every action is logged. Full run history, tool traces, and approvals. You always know what it did and why.

Built for

One platform. Different missions.

Operators outgrowing Zapier. Founders who want outcomes, not infra. Developers shipping agent workflows without re-building the platform underneath.

01 · For founders & operators

Automate recurring work without expanding headcount

  • Handle inbox triage, summaries, and follow-ups consistently
  • Deploy one agent across customer, team, and leadership workflows
  • Turn ideas into production-ready automations in minutes, not weeks
hit the ceiling of Zapier→
02 · For ops teams

Run reliable cross-tool workflows at scale

  • Coordinate multi-step processes without brittle glue code
  • Durable execution with retries and lifecycle controls built in
  • Memory, skills, integrations and scheduling in one system
orchestration, without the orchestration layer→
03 · For developers

Ship agent workflows into products and internal systems

  • Full API, MCP endpoint, and webhooks out of the box
  • Keep flexibility — any prompt, any model, any tool
  • The same infra powering LotsSocial, LotsBlog, and LotsTeam
infra already done→
Not workflow. Not a framework.

What LotsAgent actually is.

A complete platform to build, deploy, and operate agents that do real work — with everything a production agent needs, already wired up.

ToolCategoryWhy it falls shortLotsAgent's edge
Zapier / MakeWorkflow automation"If-this-then-that." Can't reason, decide, or handle unstructured input.→ Agents that think, not just trigger
Langchain / LangGraphDev frameworkRequires engineering. No built-in deployment, memory, or channels.→ Production-ready, no engineering overhead
n8nOpen-source automationSelf-hosted complexity. Still workflow-logic based, not agent-native.→ No infra. True agent behaviour.
Claude / ChatGPTAI assistantNo persistent memory per workflow, no tool execution, no scheduling.→ Agents that run and take real action
Building in-houseCustom developmentWeeks of setup. Memory, tools, channels, retries — all from scratch.→ Same outcome. Fraction of the time.
Pricing

Start small. Only pay for work done.

Buy credits, assign work to agents, and see what each run cost. Simple enough for the first workflow, flexible enough when the team starts relying on it.

Prepaid credits
$1 = 1,000 credits
prepaid
From $10

Your first $10 top-up gives you 10,000 credits. Use them across agents for everyday runs, deeper research, tool actions, and browser automation.

  • +$1 gives you 1,000 credits; $10 gives you 10,000 credits to start
  • +Use credits for model calls, agent runtime, tools, browser work, and email work
  • +See the exact credit breakdown after every run
  • +Top up when work picks up; credits stay in your shared Lots balance
  • +Bring your own provider key when you want model spend routed directly
What you can run

Credits are the meter. The platform is built for people who want agents to actually finish operational work, not just answer prompts.

  • +Launch agents for sales follow-up, content ops, research, support, and internal workflows
  • +Reach agents from chat, API, webhooks, MCP, email, Telegram, and scheduled jobs
  • +Give each agent memory, connected tools, skills, files, and approval points
  • +Review every run with messages, tool traces, output, usage, and credits

Credit use varies by model, run length, connected tools, browser automation, and email work.

Need provider-level control? Connect your own model key where BYOK is enabled.

The LotsTech ecosystem

The infrastructure every LotsTech product runs on.

LotsAgent isn't a new platform hoping to work. It's already the engine behind live products in the ecosystem — production-tested at scale.

— Platform · you are here

LotsAgent

The agent platform. Builds, deploys, and runs agents across every channel.

— Product

LotsSocial

Social media platform with a built-in agent that plans, drafts, and schedules across every channel.

— Product

LotsBlog

Blog platform with a built-in agent that plans, writes, interlinks, and publishes SEO content.

— Product

LotsTeam

Product ops platform — feedback, support, tasks, changelog, and roadmap — with built-in agents.

— Every other

LotsTech product

Every product with agentic features in the ecosystem runs on LotsAgent under the hood.

Questions

Before you launch.

Clear answers for operators and builders evaluating LotsAgent for real work.

Zapier and Make are rule-based: "if this, then that." They can't reason over unstructured input or make judgment calls. LotsAgent agents reason — they read a lead, enrich it, decide what to say, draft a reply, and wait for your OK. Setup is in chat, not a rule editor.

Stop wiring infrastructure.
Ship the agent.

Describe the workflow. Your agent handles the logic — across every channel you use.

Read the API docs

NO INFRASTRUCTURE REQUIRED · PRODUCTION-READY · BUILT TO SCALE