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Agent frameworks · AI · Los Angeles

AI agents on LangChain, n8n or Zapier, built for your team

Code, low-code or no-code. The right answer depends on your people more than the model.

An agent framework is the scaffolding around a language model: it decides which tool to call, keeps track of each step and pauses when a person has to sign off. We build AI (now also called SI, super intelligence) agents in LangChain and LangGraph when developers will own them, in n8n when an ops lead will, and in Zapier when the business team wants to edit them. Each one reads and writes your Zoho data within limits you choose.

  • LangGraph for code-first teams
  • n8n, cloud or self-hosted
  • Zapier for business-owned automations
Zoho Zoho Advanced PartnerAlso an AWS Partner
You’ll talk to our senior team, not a call center.300+ projects · serving US clients since 2025
SampleOne refund agent, three ways to build it: the steps stay the same while the names change with the framework.

01What an agent framework is

Do you need an agent framework at all?

A model on its own only answers. A framework lets it act: call a CRM, search a help center, retry a failed step, remember where a run stopped and wait for a person. LangChain, n8n and Zapier sit at three points on a line from pure code to pure clicks, and all three can run the same kind of agent.

Worth building when

  • The job repeats and needs judgmentSorting inbound requests, drafting replies, deciding which record to update. Rules alone keep missing the odd cases.
  • It touches three or more systemsA ticket, the customer record, the billing history and a chat channel all play a part in one decision.
  • Some steps need a sign-offRefunds, discounts or emails to a client wait for a named person, and the framework holds the run until they answer.
  • You want a record of every stepEach tool call, input and output kept, so a wrong answer can be traced back to the step that caused it.

Skip it when

  • A fixed rule already worksIf “when a deal closes, create an invoice” never changes, a plain workflow in Zoho Flow is cheaper and easier to trust.
  • Everything lives inside ZohoZia and Zia Agents may cover it with no outside platform to pay for or patch.
  • Nobody will own itAgents drift as prompts, apps and data change. Without an owner and a monthly look at the logs, we’d rather not start.

02Agent framework services

What we build with LangChain, n8n and Zapier for US companies

Most engagements start with one agent doing one job well, then grow. Here is the work, listed with what you have in hand at the end of each piece.

  1. Framework choice and agent design

    We write down the job, the tools the agent may call, what it must never do and where a person approves. Then we recommend code, low-code or no-code with reasons tied to your team.

    Agent spec + framework pick
  2. LangChain and LangGraph builds

    Graphs with typed state, tool functions, checkpoints so a paused run resumes where it left off, and tests that replay real sample cases before each release. Hosted in your AWS account or on Zoho Catalyst.

    Repo, tests, deploy pipeline
  3. n8n agent workflows

    AI Agent nodes with Zoho, Slack and database tools, credentials stored in n8n, error workflows, and a self-hosted install on your own server when data has to stay with you.

    Exported workflows + runbook
  4. Zapier agents and Zaps

    Zapier agents and multi-step Zaps that the business team can read and adjust, with folders, naming and ownership set up so they don’t sprawl after the third month.

    Organized Zapier account
  5. Guardrails, traces and handover

    Approval gates on risky actions, spend caps on model calls, tracing in LangSmith or the platform’s own run history, and a walkthrough so your owner can read a failed run without us.

    Alerts, trace views, training

03One run, read like a trace

What happens inside one agent run, including the part where it waits for a person?

This is a sample refund request handled by a LangGraph agent, drawn the way a tracing tool shows it: every model call and tool call on one time axis. Six seconds of work, then a pause while a manager decides.

  1. runTicket #4471 arrives from Zoho Desk

    A customer in Raleigh, NC asks for a refund on an annual plan bought 41 days ago. A webhook starts the graph with the ticket text and ID.

  2. llmRead the ticket, plan the next steps

    The model labels it a refund request outside the 30-day window and decides it needs the account history and the refund policy before replying.

  3. toolget_contact in Zoho CRM

    Back comes the account: customer since 2023, two seats, no earlier refunds, and an open upsell deal the sales rep cares about.

  4. toolsearch_help_center “refund after 30 days”

    The policy article says late refunds are a manager’s call, and account credit is the usual offer.

  5. llmDraft the reply and propose a $240 credit

    The draft is polite, cites the policy and offers credit for the unused months. The amount is over the $100 limit set for this agent.

  6. interruptPaused for a manager’s approval

    The graph saves its state and posts the draft to the manager in Zoho Cliq. Nothing is sent and no credit is issued while it waits. The manager changes one sentence and taps Approve.

  7. toolsend_reply and add_note

    The run resumes from the saved checkpoint. The edited reply goes out from Zoho Desk and a note lands on the CRM account so the rep sees it before the upsell call.

  8. endRun closed, trace kept

    Seven spans, two tools that changed data, one human decision on record. If a customer disputes it later, this trace is the answer.

Sample run, names and amounts. In n8n the pause is a wait-for-approval step; in Zapier it is an approval step in the Zap.

04Try it · sample guidance

Code, low-code or no-code: which agent framework fits your team?

Answer five questions about your people, the job and your data. The scores move as you click, and the card on the right explains the pick, what to watch for and what we would build first.

1Who looks after the agent once it’s live?
2How tangled is the job?
3Where must the data stay?
4Runs per month, roughly?
5What does it need to reach?
  • Code · LangChain0
  • Low-code · n8n0
  • No-code · Zapier0

Sample pick

Watch for
First build

Sample guidance only. On the first call we also look at who signs off on what, your model provider and the systems behind each tool before recommending one.

05Agent frameworks + Zoho

How do LangChain, n8n and Zapier agents work with Zoho?

Each framework reaches Zoho by a different door. Code agents can call Zoho MCP or the Zoho REST APIs directly, n8n ships Zoho nodes and an HTTP node for the rest, and Zapier has ready-made Zoho triggers and actions. The pattern we pick depends on where the agent runs and whose Zoho access it borrows.

LangGraph agent through Zoho MCP

The graph connects to a Zoho MCP server and only sees the tools switched on there, such as searching deals or creating tasks in Zoho CRM. For anything MCP doesn’t expose, a small tool calls the REST API with an OAuth client limited to the right scopes.

n8n on your server, Zoho as tools

A self-hosted n8n instance runs the AI Agent node with Zoho CRM as a tool, plus HTTP Request nodes for Zoho Desk and Cliq. Ticket text and customer records never pass through a third-party automation cloud.

Zapier agent watching Zoho CRM

A new Zoho CRM lead triggers a Zapier agent that researches the company, scores the fit and writes a summary back to the lead, then pings the owner in Zoho Cliq. Sales ops can tune the instructions in plain English without filing a ticket with IT.

If the logic can live entirely inside Zoho, Zoho Flow or a function on Zoho Catalyst is often simpler than any of the three. Choosing the model behind the agent is its own decision, covered on our LLM models page.

06Agent framework pricing

What do LangChain, n8n and Zapier cost?

Three very different meters. LangChain charges nothing for the libraries and bills for its LangSmith tracing service by seat. n8n is free to self-host and sells cloud plans by workflow executions. Zapier bills by tasks, so cost follows volume. On top of all three, the model provider bills you per token.

LangChain

LangChain and LangGraph libraries
Open source, no license fee
LangSmith Developer
$0 per month, 1 seat, 5,000 base traces a month
LangSmith Plus
$39 per seat per month, 10,000 base traces a month, extra traces pay as you go
Enterprise
Custom quote from LangChain

n8n

Community Edition
Self-hosted with no license fee; you pay for the server it runs on
Cloud plans
Starter, Pro and Business, priced by monthly workflow executions
Enterprise
Custom quote, cloud or self-hosted

n8n publishes its plan prices in euros, so we quote the current dollar figure on the call instead of printing a number here.

Zapier

Free
$0, 100 tasks a month
Professional
From $19.99 a month billed yearly, or $29.99 month to month, for 750 tasks
Team
From $69 a month billed yearly, or $103.50 month to month, for 2,000 tasks
Zapier Agents
Metered in activities, separate from tasks, with a monthly allowance on each plan

Building the agent with us is one number: the job, the tools it may touch, the approval rules and the test cases go into a BRD, and you sign that fixed price before we write a line of code. Platform and model bills stay in your name, paid straight to the vendor. The first call costs nothing.

US list prices in USD, before tax. LangChain and Zapier both revise plans and task tiers during the year, so we re-check them against your expected run volume before you subscribe.

07Agent framework questions

Questions about AI agent frameworks, answered

LangChain versus LangGraph, self-hosting n8n, Zapier tasks and how agents touch Zoho. Bring a job you want an agent to do and we’ll sketch it with you.

What is an AI agent framework?

It is the software layer that turns a language model into something that can act. The framework hands the model a list of tools, runs the tool the model picks, keeps the state of the run, retries failed steps and can pause for a human decision. LangChain with LangGraph, n8n and Zapier are three popular choices, from code-first to no-code.

LangChain vs n8n vs Zapier: which is best for AI agents?

It depends on who maintains it. LangChain and LangGraph suit teams with developers who want full control, tests and hosting in their own cloud. n8n suits a technical ops person who likes a visual canvas and may need to self-host. Zapier suits business teams that want to change an agent themselves and mostly connect well-known SaaS apps.

What is the difference between LangChain and LangGraph?

LangChain is the library of building blocks: model wrappers, tool definitions, retrievers and agents. LangGraph, from the same company, models an agent as a graph of steps with shared state, which makes loops, branching, saved checkpoints and human approval pauses easier to control. For production agents we usually build with LangGraph and use LangChain parts inside it.

Is LangChain free to use?

The LangChain and LangGraph libraries are open source with no license fee. LangSmith, the company’s tracing and evaluation service, has a Developer plan at $0 for one seat with 5,000 base traces a month and a Plus plan at $39 per seat per month with 10,000 base traces. You still pay your model provider for usage.

Can n8n be self-hosted for free?

Yes. The n8n Community Edition can run on your own server or AWS account with no license fee, so your cost is the hosting and the time to keep it patched and backed up. n8n also sells cloud plans priced by workflow executions, plus enterprise options with features such as single sign-on.

How does Zapier charge for AI agents?

Zaps are billed by tasks: the Free plan includes 100 a month, Professional starts at $19.99 a month billed yearly for 750 tasks, and Team starts at $69 a month billed yearly for 2,000. Zapier Agents are metered separately in activities, with an allowance on each plan, so agent use does not eat into your task count.

Can an AI agent safely update records in Zoho CRM?

Yes, with limits in place. We give the agent only the tools and OAuth scopes it needs, route risky actions such as refunds, deletes or client emails through an approval step, and keep a trace of every call. Zoho MCP adds per-tool switches and runs actions with each user’s own Zoho permissions.

Should we use Zoho Flow instead of n8n or Zapier?

If every system involved is a Zoho app and the steps are fixed rules, Zoho Flow is usually the simpler and cheaper home. When the job needs a model to decide what to do, touches many outside apps or must run on your own server, an agent built in n8n, Zapier or LangGraph fits better. We often use both side by side.

What is SI?

SI stands for super intelligence. In September 2026 a US executive order asked federal agencies to use “super intelligence” or “SI” in place of “artificial intelligence” in official communications. Most businesses still say AI, so we use both terms.

How do you price an AI agent project?

The first conversation is free. Once we know the job, the tools and the approval rules, we write them into a BRD with a fixed price and a delivery schedule, and you sign before the build begins. Larger multi-agent work may start with a short paid design phase, quoted up front. Platform and model fees are billed to you by each vendor.

08How an agent project starts

One job, one agent, then we pick the framework

Choosing LangChain, n8n or Zapier comes third, after the job and the approval rules are clear. A single agent with a handful of tools can often be scoped on the first call; several agents sharing data across Zoho and in-house systems may need a short paid design phase, priced before it starts.

Agent builds happen over screen share with your team anywhere in the US, Canada or Latin America, and we can sit down with the people who’ll approve the agent’s actions at our Glendale office.

  1. Discovery callThe task you want off people’s plates, who does it today and the systems involved
  2. Agent specTools allowed, actions that need approval, things the agent must refuse
  3. Framework and test setCode, low-code or no-code, plus real sample cases the agent has to get right
  4. BRD sign-off Our promiseScope, guardrails and handover in writing, at a fixed price

From sign-off, the build follows our dated, step-by-step delivery plan. See how we work →

09Let’s talk

Tell us what you’re building. We’ll map the fix.

Book a free consultation with Elite Tech Global. We review your Zoho, AWS, Shopify or WordPress setup, show where AI / SI agents can save time, and agree the next step. If we work together, every requirement and a fixed price go into a signed BRD before the build starts.

Real people, one team. Led by co-founders Ikramul Karim and Khris Kakosimidi, and a 40+ member team across Zoho, AWS and AI.

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