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AGEF vs Dike

AGEF and Dike are both guardrails & safety tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

AGEF

AGEF

The specification defines a content-addressed, Merkle-linked event structure so every decision in an agent session can be hashed, bundled, and checked offline — no live service required. The reference implementation is Akmon (v2.0.0 and later), which handles bundle export, import, and journaling via akmon-journal. AGEF is a format standard, not a deployed platform: there is no SaaS, no API, and no hosted verification service. Teams adopting it are taking on the work of building or integrating bundle-producing substrates into their existing agent infrastructure. At v0.1.1, the spec is pre-stable — conformance profiles and bundle structure are defined, but tooling outside the Akmon reference implementation is essentially absent.

Dike

Dike

Route your OpenAI-compatible traffic through Dike and every prompt, retrieval step, and completion becomes a sealed, cryptographically verifiable audit record — the kind an auditor can check, not just a log you printed yourself. PII is stripped before anything touches storage, flagged responses queue for human sign-off, and when a serious incident fires, Dike opens the Article 73 case and starts the 15-day reporting clock automatically. The gateway is fail-open, so if audit storage goes unreachable, your requests still reach the model. The ceiling appears when your compliance requirements go beyond what a passive proxy can enforce — custom risk-scoring logic, multi-jurisdiction rules, or on-premises data residency all require architecture Dike does not currently offer.

AttributeAGEFDike
PricingFreePaid
Price€49/mo
Free trialNoNo
Open sourceYesNo
Has APINoYes
Self-hosted optionYesNo
PlatformsCross-platform (specification language-agnostic)Web gateway
Released2024
Pros
  • Offline, cryptographic bundle verification — no live service required — so an auditor or regulator can independently confirm session integrity without access to your internal systems or trusting your logging infrastructure.
  • Merkle-linked event structure means the record is tamper-evident by construction, which means you hand a regulator a bundle and the math proves whether it was altered, rather than asking them to take your word for it.
  • Deterministic session replay against recorded tools and providers, so incident responders can reconstruct exactly what the agent did during an outage or compliance event without relying on mutable runtime state.
  • Apache-2.0 code license and CC BY 4.0 spec license, which means regulated organizations can adopt, implement, and distribute the format without commercial licensing friction or vendor lock-in.
  • Two defined conformance profiles (Bundle and Substrate) give implementers a clear contract for what 'compliant' means, so independent tools from different vendors can interoperate around the same audit record.
  • Hash-chained, tamper-evident audit records generated automatically for every call, so when an auditor asks for cryptographic proof that logs were not altered, you export a file instead of defending a claim.
  • PII redacted at the gateway before anything is written to storage, which means GDPR exposure from prompt contents does not accumulate in your audit logs over the legally required 6-month retention window.
  • Article 73 incident reporting opens a case and tracks the 15-day regulatory clock automatically, so serious incidents do not slip past the deadline while your team is still triaging.
  • RAG-specific retrieval logging records which documents the model actually used per response, satisfying the Article 12(2) evidence requirement that a plain chat transcript cannot meet.
  • Fail-open gateway design means an audit storage outage does not take down your production service — requests still reach the model provider, so compliance infrastructure does not become an availability liability.
Cons
  • The only shipped bundle exporter is Akmon v2.0.0 and later — teams not running Akmon must implement the spec themselves from SPEC.md, which means committing engineering time to build and maintain a conforming substrate before a single audit bundle gets produced.
  • At v0.1.1, the spec is explicitly pre-stable, so the bundle structure and conformance requirements are subject to change before a stable release; teams that ship a production implementation against v0.1.1 inherit the maintenance cost of tracking and absorbing breaking changes.
  • There is no SaaS verification service, no hosted tooling, and no API — organizations that need a drop-in audit trail solution with minimal integration lift will abandon AGEF for a commercial agent observability platform that ships its own tamper-evident logging and verification UI out of the box.
  • No self-hosted deployment option exists; all traffic routes through Dike's hosted infrastructure. Teams whose security policy prohibits third-party proxies on the production inference path, or whose legal team requires data residency guarantees beyond EU-region cloud storage, cannot use Dike without a policy exception — and teams in that position typically move to building the compliance layer in-house or evaluating enterprise gateway vendors that offer on-premises deployment.
  • The gateway is a passive proxy: it redacts, logs, blocks, and routes, but does not evaluate custom compliance rules. Teams needing per-user-role flagging logic, multi-jurisdiction rule sets, or dynamic risk scoring based on response content will reach the proxy's ceiling quickly and find themselves maintaining custom middleware on top of Dike — at which point they are running two systems.
  • Dike is in closed beta at the time of writing; the vendor states teams must join a waitlist. Production availability, SLA commitments, and enterprise support terms are not publicly documented, which makes procurement sign-off harder for teams with formal vendor assessment requirements.
Bottom line

AGEF is free while Dike is paid; AGEF is open source; only Dike exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AGEF and Dike?

AGEF is Free and open source, while Dike is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AGEF better than Dike?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

AGEF vs Dike: which should I pick?

Pick AGEF if its pricing model, openness, or platform fit matches your constraints; pick Dike otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.