Isnad vs Open-Kritt

Isnad and Open-Kritt are both agent frameworks 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.

Isnad

Isnad attaches provenance metadata to individual claims as they move through agent pipelines, borrowing the narrator-grading logic from classical hadith transmission scholarship to score source reliability at each hop. The vendor describes it as claim-level auditing — you get a trustworthiness grade per claim, not a flat event log. It installs via pip and ships with Docker support and Alembic-managed migrations, which means it slots into existing Python stacks without standing up a separate service. The ceiling appears when your pipeline is not Python-based or when you need a hosted dashboard rather than a library you integrate yourself. Teams outside that boundary are building their own wrapper before they can use the core grading logic.

Open-Kritt

The tool runs parallel AI agents across a codebase, so vulnerability discovery that would serialize into hours on a single-context scan distributes across concurrent analysis threads. It targets security researchers and bug bounty teams who need to sweep repositories at scale, not review a function at a time. Self-hosting is supported under AGPL-3.0, which means your code and findings never leave your infrastructure — a requirement for any org with compliance constraints. The open-source core is inspectable and forkable, but managed scans are a paid-only feature, so teams that want the hosted workflow face a significant spend threshold. The page describes GitHub integration as a first-class path, making it a practical fit for teams already running security workflows inside existing CI infrastructure.

Attribute	Isnad	Open-Kritt
Pricing	Free	Paid
Free trial	No	No
Open source	Yes	Yes
Has API	Yes	No
Self-hosted option	Yes	Yes
Platforms	Python	Local, GitHub, self-hosted
Released	—	2026-07
Pros	Claim-level provenance rather than request-level logging, so when an auditor asks which source a specific fact came from, you can answer with a chain — not a timestamp. Narrator reliability grading at each pipeline hop, which means you catch a systematically unreliable agent before its output reaches a downstream model or a human reviewer. pip-installable with Alembic-managed persistence, so integration into an existing Python pipeline does not require standing up a separate service or rewriting data access logic. Apache-2.0 license with self-host support, which means no vendor lock-in on the provenance store and no usage-based fees as claim volume grows. Prometheus integration included in the repository, so provenance metrics can feed into an existing monitoring stack without a separate instrumentation pass.	Parallel agent analysis across large codebases, so security researchers are not bottlenecked by single-context limits that cause coverage gaps on repositories too large for one model pass. AGPL-3.0 open-source license with self-hosting support, which means organizations with compliance requirements can audit the tool's behavior and keep all code and findings on their own infrastructure rather than routing through a third-party service. Direct GitHub repository integration, so teams can point the tool at existing repos without building a separate code ingestion or preprocessing step. Support for Codex and Claude Code model backends, so teams can align the analysis engine with the model their organization already has access to or trusts for security-sensitive tasks. Inspectable agent orchestration code under an open license, which means a security team can verify exactly what the agents are executing — a requirement that opaque SaaS tools cannot satisfy.
Cons	No non-Python SDK exists, so any pipeline component written in Node, Go, or another runtime cannot call Isnad natively — teams in polyglot stacks end up building an HTTP shim around the library, which is a second system to maintain. No hosted dashboard or UI is described in the source material, which means non-engineering stakeholders who need to review claim trust scores must either query the database directly or wait for a team member to build a reporting layer — at which point the integration cost rivals adopting a more opinionated provenance platform. The project has four stars and no open pull requests, which signals limited community validation at scale; teams building production systems with strict SLA requirements on the provenance layer will likely migrate to a more established audit framework once volume or compliance stakes rise, because there is no commercial support path and no documented production deployments in the source material.	Managed scans are a paid-only feature with a spend threshold the validator context confirms is substantial; independent researchers and small bug bounty teams operating on limited budgets hit this wall immediately and are forced to self-host, which shifts the burden of infrastructure provisioning, scaling, and maintenance entirely onto the team. Self-hosting the agent infrastructure requires operational capacity that security research teams — typically focused on findings, not DevOps — often lack; teams without a dedicated infrastructure engineer end up spending sprint time on setup and uptime instead of auditing, and those teams frequently abandon self-hosted options for managed security tooling that absorbs that operational cost. No API is available per the tool's current documentation, which means teams that want to embed Kritt.ai's analysis into an existing CI/CD pipeline or trigger scans programmatically from another system face a hard integration ceiling; teams requiring API-driven automation switch to tools with exposed endpoints.

Bottom line

Isnad is free while Open-Kritt is paid; only Isnad exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Isnad and Open-Kritt?

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

Is Isnad better than Open-Kritt?

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.