The 88 Labs AI Agent Directory: Your Map to Production-Ready AI Agents

# The 88 Labs AI Agent Directory: Your Map to Production-Ready AI Agents

The AI agent space went from "interesting demo" to "core infrastructure" in about eighteen months. Devin, Claude Code, Manus, ChatGPT Agent, Cursor, ElevenLabs voice agents — every week a new one ships, every week another claims to be "the autonomous future." Picking the right one for an actual business is now harder than building with it.

That's why we built the [88 Labs AI Agent Directory](https://88labs.ai/agents) — a curated, always-current map of the agents that matter, organized by what they actually do.

What's Inside

The directory currently catalogues 69+ AI agents across the categories real businesses care about:

Each entry includes the tagline, what the agent actually does, pricing model (Free / Freemium / Paid / Open Source / Enterprise), category tags, and a direct link to the vendor — plus flags for Featured, Trending, and New so you can see what's moving this week.

Why a Directory Matters Right Now

Three problems make this market hard to navigate on your own:

1. The vocabulary is broken. Every vendor calls themselves an "AI agent." A glorified RAG chatbot, a workflow automation, a true autonomous coding agent, and a voice receptionist all share the same word. The directory separates them by what they do, not what they call themselves.

2. The space changes weekly. OpenAI ships ChatGPT Agent. Anthropic ships Claude Code and Computer Use. Cognition ships Devin. Manus comes out of nowhere. A blog post written six months ago is already wrong. We keep the directory current so you don't have to.

3. Vendor pages oversell. Every landing page promises 10x productivity. Side-by-side, in a neutral format with the same fields filled in for every agent, the real differences become obvious — and so does the right pick for your use case.

How Founders Use It

The directory is built for the way real buying decisions get made:

A senior operator can usually go from "I have a problem" to "here are my three finalists" in about ten minutes.

How We Curate

We don't list everything. The bar to be in the directory is simple:

When something stops meeting that bar, it comes off. When something new earns its way in (recent additions: Manus, Genspark Super Agent, Fellou, Comet, Dia), it goes on with the same field structure as everything else so comparisons stay apples-to-apples.

How It Fits With What We Do

88 Labs builds and deploys custom AI agents for businesses — voice receptionists, sales agents, support agents, internal automation — typically live in 14 days. The directory exists because the question we get most often from prospects isn't "can you build me an agent?" It's "should I use [vendor X] or build something custom?"

The honest answer is usually: try the off-the-shelf agent first. If a $20/month tool from the directory solves your problem, that's the right answer and we'll tell you so. The cases where custom wins are specific — deep integration with your existing systems, voice agents tuned to your brand and call flows, multi-agent workflows that span tools no single vendor covers. For everything else, the directory is the faster path.

Start Here

We update the directory continuously. Bookmark it — the agent landscape six months from now will not be the one you see today, and the directory is where we keep score.

Off-the-Shelf or Custom? A 60-Second Decision Aid

The directory tells you what exists. It doesn't tell you what to buy. Here's the rule of thumb we use with our own clients:

Buy a productized agent from the directory if…

Request a custom 88 Labs build if…

Still not sure?

A fast heuristic: start with the directory. Pick the closest off-the-shelf agent, run it for two weeks, and write down every place it fails. That list is your custom-build spec — and it's the conversation we'd rather have than a blank-page consultation.

When you're ready, see your free demo and we'll turn that list into a working agent in 14 days.

FAQ

Should a small business buy an off-the-shelf AI agent or commission a custom one?

For most small businesses, start off-the-shelf. If your workflow is generic (sales outreach, support triage, meeting notes, basic research) and your data lives in standard tools like Gmail, Slack, HubSpot, or Notion, a $20–$200/month directory pick will outperform a custom build on day one. Move to custom only when an off-the-shelf agent has failed the same way twice and you can name exactly what's missing.

What's the realistic monthly cost of a productized AI agent?

Most serious productized agents in the directory land between $20 and $500 per seat per month, with team plans for sales, support, and coding agents typically in the $99–$300 range. Voice agent platforms bill by the minute and usually run $0.05–$0.20/min plus a platform fee. If a vendor quotes you under $20/month for an "AI agent," it's almost always a chatbot, not an agent.

When does a custom AI agent actually pay for itself?

Custom builds make financial sense when (1) the agent replaces or massively augments a role costing $40k+/year, (2) it's customer-facing and brand voice matters, or (3) it integrates with internal systems no off-the-shelf agent supports. A typical 88 Labs custom voice or sales agent pays for itself in 1–3 months at that scale. Below that, off-the-shelf wins.

How long does an 88 Labs custom AI agent take to deploy?

Fourteen days from kickoff to a live, deployed agent in your stack. That includes discovery, integration with your systems (CRM, calendar, phone, email, etc.), brand-voice tuning, internal testing, and go-live. Anything claiming "instant" is usually a template; anything quoting 3–6 months is usually overscoped.

Can I switch from a productized agent to a custom build later?

Yes — and we recommend you plan for it. Use the productized agent as a spec generator: run it for 30–60 days and document every failure mode, missing integration, and brand mismatch. That document becomes the brief for the custom build, and your team has already validated that the workflow should be agentic at all. We've built almost every custom agent off the back of an off-the-shelf trial.

Are open-source AI agents (Aider, Cline, OpenHands) a viable alternative to paid ones?

For technical teams, absolutely. Aider, Cline, and OpenHands rival paid coding agents in capability if you're comfortable bringing your own LLM API key and managing the runtime. The trade-off is operational: you're on the hook for upgrades, model choice, and reliability. For non-technical buyers or production-critical workflows, a paid agent with SLAs is usually the right call.

How do you decide which agents make it into the 88 Labs directory?

Three filters: the agent must be shipping (no waitlists, no vapor), it must do agentic work (plans, takes actions, returns results — not just chat), and it must be something a serious team would actually deploy. We add new entries as the space moves and remove ones that stop meeting the bar — most recently we've added Manus, Genspark Super Agent, Fellou, Comet, and Dia.