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HelixID
Open-source identity & trust layer for AI agents
HelixID is an open-source identity layer for AI agents. Most agent-auth tools stop at session-level access i.e. a token that gets an agent through one app, one time. HelixID goes further: every agent gets a W3C Verifiable Credential and DID, so its identity, authority, and actions can be proven across organizations, offline, and after the fact. Enforced with OPA/Rego, composes with your existing OAuth, self-hostable in 5 minutes. Apache 2.0, no vendor lock-in.
Hey Product Hunt 👋
We built HelixID because we kept hitting the same wall while building multi-agent systems: OAuth is great at getting an agent through one door, in one app, for one session. But the moment an agent needs to act across organizations, delegate a task to another agent, or prove after the fact what it did and on whose authority, the token runs out of road. There's no standard way to answer "who is this agent, who authorized it, and what was it actually allowed to do?" once you're outside a single trust boundary.
So instead of building another OAuth wrapper, we went one layer deeper. HelixID issues every agent a Decentralized Identifier and W3C Verifiable Credentials, verifies Verifiable Presentations at the execution boundary, and enforces scope with OPA/Rego, all backed by a tamper-evident audit trail. OAuth is the building pass and HelixID is the passport: it travels with the agent, and it's verifiable even offline.
A few things we cared about while building this:
Standards over lock-in: W3C VC Data Model v2, DID Core, OPA/Rego. No proprietary format you're stuck with.
Composability: this isn't a rip-and-replace. It sits alongside your existing OAuth/OIDC stack (you can exchange a Verifiable Presentation for an OAuth token via RFC 8693).
Zero friction to start: npx @helixid/cli init gets you running locally in under 5 minutes, no ledger or external dependency required.
Actually open: Apache 2.0, self-hostable, enterprise-legal-friendly (no AGPL headaches).
This is very much a v1, and we built it in the open because we think agent identity is a problem the whole ecosystem needs to solve together, not something any one vendor should own. We'd genuinely love your feedback about what breaks, what's missing, and what you'd want it to do that it doesn't yet. Contributions and "good first issue" PRs are welcome on GitHub.
Thanks for checking it out! 🙏
About HelixID on Product Hunt
“Open-source identity & trust layer for AI agents”
HelixID was submitted on Product Hunt and earned 32 upvotes and 9 comments, placing #21 on the daily leaderboard. HelixID is an open-source identity layer for AI agents. Most agent-auth tools stop at session-level access i.e. a token that gets an agent through one app, one time. HelixID goes further: every agent gets a W3C Verifiable Credential and DID, so its identity, authority, and actions can be proven across organizations, offline, and after the fact. Enforced with OPA/Rego, composes with your existing OAuth, self-hostable in 5 minutes. Apache 2.0, no vendor lock-in.
On the analytics side, HelixID competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how HelixID performed against the three products that launched closest to it on the same day.
Who hunted HelixID?
HelixID was hunted by Rejah Rehim. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of HelixID including community comment highlights and product details, visit the product overview.