LarAgent is live · free · last verified 25 Oct 2026 · viability monitor
LarAgent
LarAgent is an open-source PHP package for building AI agents in Laravel with Eloquent-style syntax and Artisan scaffolding.
If Laravel is already your stack, LarAgent is the shortest path from an idea to a working agent, because onboarding is `php artisan make:agent` instead of learning a new runtime. Ollama support means you can iterate locally for free and only pay when you deploy. Pass if you're not on PHP, or if you want a hosted dashboard doing the orchestration for you.
Verdict generatedVerified 5d ago · liveness 50/100 · cite: rightaichoice.com/tools/laragent
- Laravel developers adding an AI agent to an existing app
- PHP teams that want agents sharing their Eloquent models, jobs and queues
- Developers prototyping against local Ollama models to avoid cloud token spend
- Teams that need lifecycle hooks for logging and custom agent behavior
- Non-Laravel or non-PHP projects
- Developers without PHP or Laravel experience
- Teams wanting a hosted agent dashboard and managed orchestration
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Skip LarAgent if your backend isn't Laravel — the whole value proposition is composer-native agent classes, artisan scaffolding and PHP attribute tools, which you get none of in a Python, Node or .NET stack.
LarAgent itself is free, but every OpenAI call in production comes out of your own API account, so token spend scales with usage rather than with a subscription.
LarAgent is an open-source package, so the software cost is zero and the real budget line is your model provider. Compare against framework-agnostic agent SDKs (also free, but they pull in a separate runtime) and against managed agent platforms that bundle hosting and charge per seat or per run — LarAgent is cheaper on license, but you pay that saving back in your own infrastructure and provider tokens.
In short
LarAgent — LarAgent is an open-source PHP package for building AI agents in Laravel with Eloquent-style syntax and Artisan scaffolding. Best for Laravel developers adding an AI agent to an existing app, PHP teams that want agents sharing their Eloquent models, jobs and queues, Developers prototyping against local Ollama models to avoid cloud token spend. Free to use.
What is LarAgent?
LarAgent — LarAgent is an open-source PHP package for building AI agents in Laravel with Eloquent-style syntax and Artisan scaffolding. Best for Laravel developers adding an AI agent to an existing app, PHP teams that want agents sharing their Eloquent models, jobs and queues, Developers prototyping against local Ollama models to avoid cloud token spend. Free to use.
LarAgent is an open-source PHP package that lets you build AI agents inside Laravel using the conventions you already know. You scaffold one with `php artisan make:agent YourAgentName` and configure it through per-provider config files or class-level attributes per agent, then tune temperature, context and token limits globally or on a single agent. Tools go directly inside agent classes via PHP attributes, so APIs, queued jobs and custom tasks get wired up without leaving your editor. An events and hooks system exposes every stage of the agent lifecycle for logging, interception and custom behavior, and structured output schemas return parseable data instead of free-form text you have to regex out of a response. The package supports OpenAI and Ollama, which means you can develop against local LLMs with no API keys and no cloud token spend, then flip to a hosted provider when you ship. A vendor-published tutorial walks through exactly that Ollama workflow. LarAgent is backed by Redberry, an Official Premier Laravel Partner, and the maintainer is its AI lead, which is the main reason to expect this to still be maintained in two years. This is a composer package, not a platform. You own the API keys, the hosting and the scaling. That puts it next to the language-first agent SDKs rather than next to managed agent builders — the trade is full framework integration in exchange for doing your own infrastructure.
Key features
- Eloquent-style agent class syntax for Laravel
- Artisan scaffolding with php artisan make:agent
- Tool integration via PHP attributes inside agent classes
- Global per-provider config and per-agent class settings
- Events and hooks for every stage of the agent lifecycle
- Structured output schemas for clean, parseable responses
- Local LLM development with Ollama and no API keys
- OpenAI provider support
- Tunable temperature, context and token limits
- Custom response schema definition per agent
- Alternative tool creation methods documented beyond attributes
- Open-source package under a permissive license
- Discord community for help, ideas and contribution
- Backed by Redberry, an Official Premier Laravel Partner
- Vendor-published tutorial for local Ollama agents
Behind the verdict
We'd reach for LarAgent when the agent is a feature inside an app we already run on Laravel, not a separate product. Concretely: a support triage agent that needs to call your existing jobs, an internal assistant that reads from Eloquent models, or a background agent that has to respect your queue workers and event system. In those cases the value isn't the agent logic itself, it's that tools, hooks and config all live where the rest of your code lives. The events and hooks layer is the part that matters more than it sounds. Being able to log, intercept and mutate behavior at each lifecycle stage is what makes an agent debuggable in production instead of a black box that occasionally returns nonsense. Structured output schemas do the same job on the data side, cutting out the parsing layer that usually grows around free-form model responses. The Ollama story is the other practical win. Building against local models means no API keys in dev, no per-token spend while you iterate on prompts and tool definitions, and a straightforward switch at deploy time. If your team is prompt-tuning heavily, that loop is where most of the cost savings actually land. Where it bites: you are the infrastructure. Rate limiting, retries, cost tracking, observability beyond the built-in hooks, and multi-tenant key management are all yours to build. None of that is a flaw in the package, it's just what a composer library delegates to you. Budget for it before you promise a delivery date. The closest alternative isn't another Laravel package, it's the general-purpose agent SDKs from OpenAI or the LangChain-adjacent Python tooling. Those give you broader provider and ecosystem coverage, plus a much larger pool of examples and hiring signal. What they don't give you is Laravel-native config,
Models under the hood
as of 2026-10-25
Limitations
- LarAgent is an open-source PHP package that orchestrates AI calls; it does not host or scale anything for you.
- You must supply your own OpenAI API key or run a local model through Ollama, so provider-level concerns like rate limits and autoscaling remain your responsibility.
- Tools are integrated within agent classes and configuration via PHP/Laravel code, so practical use assumes Laravel and PHP development familiarity.
as of 2026-10-08
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Is LarAgent still active?
LarAgent is live · free · last verified 25 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is LarAgent? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about LarAgent?
What people actually say about LarAgent — is it worth it?
Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about LarAgent— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 25 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified LarAgent 12 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing tiers, description, who should skip it, summary, our verdict, who it suits, features
- — changed limitations
- — changed who should skip it, switching in, our verdict, summary, switching out, features, who it suits, setup time, pricing fit, hidden costs, use cases, pricing tiers, models, description, limitations
- — changed SSL certificate
- — changed setup time, features, hidden costs, switching in, switching out, models, pricing fit, who should skip it, summary
- — changed domain expiry
Showing the 6 most recent of 12 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does LarAgent cost in 2026?
LarAgent: Free to use. Pricing last verified 25 Oct 2026.
Plans compared
Every published LarAgent tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Open Source | Free | — | Laravel developers and teams who are comfortable owning their own API keys, hosting and scaling while using the package itself at no license cost.Adds: Starting point: full package access with no license fee — you pay only for whatever model provider you point it at. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where LarAgent's pricing actually pencils out — and where peers do it cheaper.
LarAgent is an open-source package, so the software cost is zero and the real budget line is your model provider. Compare against framework-agnostic agent SDKs (also free, but they pull in a separate runtime) and against managed agent platforms that bundle hosting and charge per seat or per run — LarAgent is cheaper on license, but you pay that saving back in your own infrastructure and provider tokens.
Has LarAgent's pricing changed?
No plan price for LarAgent has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick LarAgent?
Pick LarAgent if you are Laravel developers adding an AI agent to an existing app, PHP teams that want agents sharing their Eloquent models, jobs and queues, Developers prototyping against local Ollama models to avoid cloud token spend, Teams that need lifecycle hooks for logging and custom agent behavior.
Look elsewhere if you are Non-Laravel or non-PHP projects, Developers without PHP or Laravel experience, Teams wanting a hosted agent dashboard and managed orchestration, Products needing multi-language SDK coverage or AI agents outside a PHP runtime.
Skip it if Skip LarAgent if your backend isn't Laravel — the whole value proposition is composer-native agent classes, artisan scaffolding and PHP attribute tools, which you get none of in a Python, Node or .NET stack.
GeneratedReal-world workflow fit
Concrete scenarios for the personas LarAgent actually fits — and what changes day-one when you adopt it.
Run php artisan make:agent SupportTriageAgent, define a structured output schema for category and priority, and register a tool that fetches the customer's latest order.
Outcome: A working triage agent running inside the existing Laravel app, returning schema-validated JSON you can act on without parsing free text.
Point the agent's provider config at a local Ollama model so no OpenAI key is required while iterating on prompts and tool definitions.
Outcome: Iteration costs nothing in API fees, and switching the config to OpenAI later is a config change rather than a rewrite.
Hook the agent lifecycle events to log each step and capture tool calls for later review.
Outcome: An audit trail of what the agent did and which tools it invoked, without forking the package.
Use cases
- Add an AI agent step inside an existing Laravel job queue
- Build support flows that log every interaction via the events and hooks system
- Generate structured records (JSON-shaped output) for database writes
- Prototype agents locally against Ollama before switching to a paid provider
- Automate classification or extraction tasks that must return a fixed schema
Setup time & first value
How long it actually takes to get something useful out of LarAgent — broken out by persona, not the marketing-page minute.
For a Laravel developer: minutes to a first agent — composer require, run php artisan make:agent, set the provider, and you have a callable agent class. Pointing it at Ollama for key-free local development adds a little configuration time. If you're wiring tools and structured output, budget an afternoon; if you're new to Laravel, expect much longer because the whole design assumes fluency with
Switching to or from LarAgent
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From raw OpenAI PHP calls in a Laravel service class: wrap the logic in an agent class and move prompts into config or attributes.
- →From a Python LangChain prototype: reimplement the chain as a Laravel agent class, reusing the same tool definitions as PHP attributes.
- →From hardcoded prompt strings in controllers: extract them into provider-level config plus per-agent class settings.
- ↗To a framework-agnostic agent SDK: wrap each Laravel agent's prompt and tools behind that SDK's tool interface.
- ↗To a managed agent platform: replace the agent class with the platform's hosted agent definition and move tool calls to webhooks.
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “LarAgent”, and we withheld 6: 6 could not be judged, because “LarAgent” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about LarAgent.
Official links
What are the best LarAgent alternatives?
The closest alternatives to LarAgent we list are Semantic Kernel, TaskWeaver and Inngest. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Semantic Kernel | Free | Free | — |
| TaskWeaver | Free | Free | — |
| Inngest | Freemium | Pricing not published | — |
Alternatives to LarAgent
View all
Semantic Kernel
Microsoft's open-source SDK for building AI agents and copilots with plugins, memory, and multi-agent orchestration.
TaskWeaver
Microsoft's open-source, code-first Python framework for building stateful, data-intensive conversational AI agents.
Tools that pair well with LarAgent
Common stack mates teams adopt alongside LarAgent, with the specific reason each pairing earns its keep.
Semantic Kernel
Microsoft's open-source SDK for building AI agents and copilots with plugins, memory, and multi-agent orchestration.
TaskWeaver
Microsoft's open-source, code-first Python framework for building stateful, data-intensive conversational AI agents.
Inngest
Open source durable execution SDK for background jobs, workflows, and AI agents — wrap code in step.run() and get retries, flow control,
LarAgent vs its closest rival
LarAgent's closest head-to-head is with Locus Robotics — Choose Locus Robotics if you run a physical warehouse needing robotics for 2-3x productivity gains in picking and fulfillment. Choose LarAgent if you're a Laravel developer wanting to build AI agents into your app with minimal friction. They serve completely different markets, so decision hinges on whether your need is physical automation or software AI. Verdict generated
Head-to-head comparisons
Laragent vs Locus Robotics
Choose Locus Robotics if you run a physical warehouse needing robotics for 2-3x productivity gains in picking and fulfillment. Choose LarAgent if you're a Laravel developer wanting to build AI agents into your app with minimal friction. They serve completely different markets, so decision hinges on whether your need is physical automation or software AI.
GeneratedLaragent vs Presto Voice
Choose Presto Voice if you operate a QSR drive-thru chain and need a turnkey voice AI solution with proven upselling ROI; opt for LarAgent if you're a Laravel developer building custom AI agent features and want a free, self-hosted package.
GeneratedLaragent vs Truleo
Choose Truleo if you are a law enforcement agency needing to unify siloed data with automated intelligence and report writing. Choose LarAgent if you are a Laravel developer building custom AI agents with familiar syntax and no upfront cost. These tools serve entirely different domains – your choice depends on your role and technical stack.
GeneratedFrequently asked questions
Used LarAgent? Help shape our editorial sentiment research.