Open-Kritt vs Tab Council

Open-Kritt and Tab Council 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.

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.

Tab Council

Orbit wraps agent coding work in a bounded loop: it selects a dependency-ordered task, hands it to whichever agent you've wired up, then requires passing tests, lint, and type checks before the task closes. Every run produces structured JSON — what the agent returned, how it scored against a rubric, and a human-readable progress log. Nothing advances on the agent's word alone. The ceiling appears when your workflow needs anything beyond single-task validation loops: multi-repo coordination, branching logic between tasks, or a hosted dashboard for non-engineering stakeholders all require you to build on top of Orbit yourself.

Attribute	Open-Kritt	Tab Council
Pricing	Paid	Free
Free trial	No	No
Open source	Yes	Yes
Has API	No	Yes
Self-hosted option	Yes	Yes
Platforms	Local, GitHub, self-hosted	Linux, macOS, Windows (Python 3.7+)
Released	2026-07	—
Pros	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.	Validation gates run real tests, lint, and type checks before a task closes, so an agent cannot mark work complete without machine-verifiable proof — which eliminates the entire category of 'it worked on my machine' agent claims. Agent-neutral adapter contract means swapping the underlying coding model is a configuration change, not a rewrite, so you can compare two agents on identical tasks using the same artifact rubric instead of gut feel. Dependency-ordered backlog execution advances one verified task at a time, so large refactoring or migration projects do not accumulate unvalidated state across dozens of agent runs. Every run writes structured JSON artifacts — result, evaluation, review recommendation, and a human-readable progress log — so audits, rollbacks, and post-mortems have a durable evidence trail rather than reconstructed memory. MIT licensed and self-hosted with a four-command local install, so there is no vendor dependency, no data leaving your environment, and no paid tier gating any part of the validation loop.
Cons	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.	Orbit enforces validation through your existing test suite and lint rules — codebases with sparse coverage get toothless gates, and the harness has no mechanism to generate or scaffold the tests it needs; teams in that position must build coverage before Orbit adds value. There is no hosted runner, web dashboard, or notification layer; non-engineering stakeholders cannot monitor progress without someone piping the JSON artifacts into a separate reporting tool — at which point you are maintaining Orbit plus that layer. The harness handles one task per orbit sequentially; workflows that need agents running in parallel on independent branches, or that need branching logic based on what a previous step returned, require you to build a coordination layer on top — teams whose primary need is multi-agent parallelism will reach for a different tool before the first sprint ends.

Bottom line

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

Frequently asked questions

What is the difference between Open-Kritt and Tab Council?

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

Is Open-Kritt better than Tab Council?

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.