Superagent and Gravity both have the word "agent" in their pitch, and that is roughly where the overlap ends. Superagent in 2026 is an open-source framework for AI agent safety: it blocks prompt injections, redacts PII and secrets, enforces what tools an agent may touch, and runs red-team scenarios so developers can prove an agent is safe before it ships (Superagent, retrieved 2026). Gravity is a marketplace where someone who is not a developer runs an expert-built agent and never sees a guardrail. These are two different jobs.

I think Superagent is solving a real and underserved problem. Agent safety is genuinely hard, and a focused open-source layer for it is welcome. But if you landed here trying to decide between the two for the same use, the honest answer is that you probably only need one, and which one depends entirely on whether you are building agents or running them.

What Superagent is in 2026

Superagent is an open-source SDK and framework, backed by Y Combinator, aimed at making AI applications safe in ways traditional software guardrails miss (Superagent on GitHub, retrieved 2026). The problems it targets are the ones that break agents specifically: prompt injection, data leakage, unsafe tool actions, and workflow failures. Coverage in late 2025 described it as a framework for putting guardrails around agentic AI (Help Net Security, 2025).

What it actually does

The framework can block prompt injections, redact PII and secrets before they reach a model or a tool, scan repositories for threats, and run red-team scenarios against an agent. A "safety agent" acts as a policy enforcement layer, evaluating an agent's intended action against rules for data sensitivity, tool usage, and operational boundaries before that action executes. In plain terms, it is the seatbelt and the crash test for agents you are building yourself.

Where Superagent is genuinely valuable

If you ship agents into production and a security or compliance team is going to ask hard questions, a dedicated safety layer is exactly what you want, and an open-source one you can inspect and self-host is even better. This maps directly onto the concerns I cover in AI agent security best practices and AI agent guardrails and safety. Superagent is a serious tool for serious agent builders.

What Gravity does differently

Gravity is not a safety SDK and not a developer tool at all. It is a marketplace. You describe an outcome in plain language and run an expert-built agent that executes it in about 60 seconds. You do not write code, you do not configure policies, and you do not run red-team tests. An expert already built and tested the agent, and the platform enforces controls before you ever touch it. You pay per use, where one dollar buys 1,000 credits, with no subscription. See how Gravity works for the full shape.

The crucial point for this comparison: on Gravity, safety is not your project. It is the builder's and the platform's. That is a feature, not an omission. A user running an invoice-chasing agent should no more assemble injection defenses than a passenger should install the airbags.

The three-sided marketplace

Gravity has three sides. Users run agents and pay per run. Builders publish agents and earn 20% of every run as pure profit. Creators earn 10% on runs from people they refer. A builder hardening an agent before publishing is exactly the moment a tool like Superagent could fit into the workflow, which is the opposite of competing with it. For the builder economics, see how to monetize AI agents.

Side-by-side comparison

Mapped across the dimensions that matter, the two products barely contest the same ground. Where I am unsure of a current Superagent detail, I flag it rather than guess.

DimensionSuperagentGravity
CategoryOpen-source agent-safety frameworkMarketplace of task agents
Layer in the stackGuardrails, policy, complianceFinished outcomes
Primary userDevelopers and security teamsNon-technical operators
What you produceA safer agent you builtA completed task
Who handles safetyYou configure itBuilder and platform handle it
LicensingOpen source, free on GitHub Pay per use, $1 = 1,000 credits
Self-hostableYesNo, runs on Gravity
SetupIntegrate the SDK into your stackDescribe outcome, run in about 60 seconds
Earning modelBuild safer agents for yourselfBuilders earn 20%, creators 10%

Almost every row resolves to the same split: Superagent is for people building agents and answering for their safety; Gravity is for people running finished agents. The table mostly helps you confirm which sentence describes you.

Safety layer vs outcome layer

Think of the agent stack as a tower. At the bottom are models and tools. Above that sits a safety and policy layer that decides which actions are allowed. Above that sits the finished agent, and above that sits the outcome a person actually wants. Superagent lives in the safety-and-policy layer. Gravity lives at the outcome layer and abstracts everything below it away from the user.

This is why "Superagent vs Gravity" is a slightly mismatched query. It is like comparing a building's fire-suppression system to a furnished apartment you can move into tomorrow. Both relate to the building, but only one is something a resident chooses to live in, and the other is something the developer is responsible for installing. For the broader category confusion this taps into, see AI agent vs chatbot vs assistant.

Who owns agent safety

The deepest difference is responsibility. With Superagent, agent safety is explicitly your job, and the framework is the tooling that helps you do it well. That is the right model for a team that is building and shipping its own agents and needs to defend those choices to auditors and customers.

With Gravity, safety is deliberately taken off the user's plate. Builders test agents across many scenarios, and the platform enforces controls, so the person running an agent inherits that work rather than redoing it. Neither model is universally better. If you want to own and prove safety, Superagent supports that. If you want safety to be someone else's accountability so you can focus on the result, that is the marketplace promise. I expand on the build-versus-buy version of this in build vs buy AI agent.

Pricing reality

Superagent's core is open source and free to use from GitHub, which is a strong point for teams that want full visibility into their safety layer and the ability to self-host (Superagent on GitHub, retrieved 2026). There may be commercial or hosted offerings alongside the open-source SDK, so verify current terms on the project's own site before you plan a budget.

Gravity is in pre-launch waitlist in 2026 and prices per use rather than per seat: one dollar buys 1,000 credits, spent only on runs you trigger. The cost models are not comparable line-for-line because the products are not comparable; one is infrastructure you operate, the other is outcomes you consume. For more on agent cost structures, see AI agent cost models explained.

When Superagent is the right choice

Three signals point to Superagent. First, you build your own agents and intend to keep doing so. Second, you have, or need to satisfy, a security and compliance function that will ask how injections, data leakage, and unsafe tool calls are handled. Third, you value open source and self-hosting because you want to inspect and control the safety layer yourself.

If that is you, Gravity is not your tool, and Superagent is squarely aimed at your problem. Pair it with the practices in AI agent security best practices.

When Gravity is the right choice

Three opposite signals point to Gravity. First, you want a task done, not an agent built; you have no interest in writing or securing code. Second, you would rather a finished agent arrive already tested and governed than be responsible for that yourself. Third, you want to pay only for the runs you use, with no platform to operate.

The marketplace bet underneath this is that as experts publish more tested, governed agents and earn per run, the value of building and hardening each one yourself falls. For why I made that bet, see about Gravity, and for closer category rivals, our Gravity vs Lindy comparison.

Using both together

The natural relationship is sequential, not competitive. A builder developing an agent for a marketplace can use Superagent-style guardrails to harden it during development, then publish the tested result on Gravity for operators to run. Safety tooling and distribution are different problems; using a focused tool for each is the sensible path, and the marketplace user benefits from the hardening without ever seeing it.

Frequently asked questions

What is Superagent in 2026?

Superagent is an open-source framework focused on AI agent safety. It gives developers and security teams a layer that blocks prompt injections, redacts PII and secrets, enforces tool-use policies, and runs red-team scenarios against agents before they ship. It is a guardrails and compliance tool for agents you build, not a finished agent for end users to run.

Is Superagent the same as Gravity?

No. Superagent secures agents that developers build. Gravity is a marketplace where a non-technical user runs an expert-built agent and never touches the code or the guardrails. On Gravity, the safety and reliability work is the platform's and the builder's job, not yours. They sit at different layers of the agent stack.

Is Superagent free?

Superagent is open source and available for free on GitHub, which is a real strength for teams that want to inspect and self-host their safety layer. Commercial and hosted options may exist alongside the open-source SDK, so check the project's own site for current terms. Gravity is in pre-launch waitlist in 2026 with pay-per-use pricing.

Do Gravity's agents have guardrails if I do not add Superagent?

Yes. The point of a marketplace is that safety, testing, and reliability are handled before an agent reaches you. Builders test agents and Gravity enforces platform-level controls, so a user running an agent does not assemble their own guardrails. With Superagent, by contrast, wiring those guardrails is the developer's responsibility.

When should I use Superagent instead of Gravity?

Use Superagent when you are a developer or security engineer building your own agents and you need to prove they are safe: block injections, redact sensitive data, and pass red-team tests. Use Gravity when you are an operator who wants a finished, already-secured agent to run a task, with no build and no security engineering on your side.

Can Superagent and Gravity work together?

Yes, conceptually they are complementary. A builder publishing an agent on a marketplace could use Superagent-style guardrails during development to harden it before submission. The marketplace then distributes the tested result. Safety tooling and distribution are different problems, and using a strong tool for each is sensible.

Three takeaways before you close this tab

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