Superagent

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1. Should you try Superagent? Overview

What it is Superagent began as an open-source AI agent framework and has pivoted into an AI security service that continuously hunts and patches vulnerabilities in repositories, web apps and agents.
Country / HQ San Francisco, USA (Y Combinator-backed)
Best for Engineering and security teams that want continuous, agent-driven vulnerability research and auto-generated fix PRs rather than annual pen tests.
Check before buying The security product is priced per private repository; the older open-source agent SDK (MIT) is separate and no longer the main product.
Editor rating 4.0 / 5
Pricing signal Free for public repos; paid per private repo

2. Features What it does

Feature What it does
Agent framework lineage Open-source SDK (MIT) with memory, tool use, web browsing and multimodal support that powered early agent deployments.
Continuous vulnerability research Agents keep probing connected repos on a schedule, chaining weaknesses the way a real attacker would.
Auto-fix pull requests Opens PRs that patch discovered vulnerabilities for engineers to review and merge.
PR-time scanning New code is checked for vulnerabilities whenever a pull request opens or updates.
Triage and disclosure Sorts real issues from noise, including inbound reports, and hands you CVE/advisory ownership.
Contributor trust scoring Flags risky contributors before their code merges.
CI integration Hooks into CI and pull requests so findings land in the review workflow your team already uses.

3. Pricing Pricing (2026-10, USD)

Plan Price / mo Key limits & who it fits
Public repos $0 Free forever for open-source repositories on GitHub.
Private repos $10,000/repo/yr Per connected repository, billed annually; includes scanning, research, triage and fix PRs.
Custom Custom Incident response, one-off audits and scoped research campaigns via sales call.

Sources disagree because of the pivot: the historical open-source agent framework is free (MIT), while the current security service is priced per private repo. Verify scope on superagent.sh before buying.

4. Integration Access & integrations

Access type Details
Platform Web service connected to GitHub repositories; CLI for setup.
Code hosting GitHub (public and private repos).
Workflow CI pipelines and pull-request reviews.
Legacy SDK Node/TypeScript SDK, REST API, hosted vector memory (historical open-source framework).

5. Reviews & Sources External reviews

Source Rating What it says
G2 (framework era) 4.0 / 5 Reviewers liked the lightweight, developer-first agent framework; noted it lacked built-in governance and observability.
dotenvx maintainer Positive Superagent agents chained vulnerabilities into a real kill chain and patched them before a commercial scanner flagged the same issue.
Capchase engineer Positive Appreciated real guardrails while engineering work continues, though noted nothing is airtight.

6. Best for / Not for Fit

✔ Suitable ✘ Not suitable
• Open-source maintainers who want free, continuous security review
• Startups without a dedicated AppSec team
• Teams that want fixes as reviewable PRs, not scanner reports
• Teams looking for the original agent-building framework for new products
• Orgs needing per-seat or usage-based pricing rather than per-repo fees
• Companies outside GitHub-centric workflows

7. Competitors How it compares

Competitor How it differs Best for
Snyk Snyk is a mature commercial SAST/SCA scanner; Superagent runs autonomous research agents that patch issues for you. Enterprises wanting broad, compliance-grade scanning.
GitHub Advanced Security Native GitHub integration at org scale; Superagent adds deeper adversarial research and auto-fix PRs. GitHub-first orgs wanting built-in coverage.
Latta AI / bug-hunting agents Similar agent-driven debugging, but Superagent focuses on proactive vulnerability hunting. Teams comparing autonomous security agents.

8. Summary Verdict

Takeaway A credible autonomous security layer for GitHub repos: genuinely free for open source, but per-repo private pricing demands real security ROI.
Who should pick it OSS maintainers and lean engineering teams that ship fast and want continuous adversarial review.
Who should skip it Teams that need traditional compliance-driven scanning breadth or that wanted the old open-source agent framework for new builds.
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