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AgentsProof vs Tabby

AgentsProof and Tabby are both large language models 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.

AgentsProof

AgentsProof

AgentsProof is an evaluation SDK that wraps your LLM and tool calls with a decorator, grades each run against rules you define in plain English, and produces a shareable, scored report at a public URL. The core loop is: instrument with `run.trace()`, capture a passing run as a Golden, then run your full proof suite against every future change. That workflow catches regressions before users do — not after. The ceiling appears when teams need self-hosting; the product is cloud-only, so regulated environments that cannot send trace data to a third party are blocked before they start. The product is in beta, which means API surface and grading behavior are still moving.

Tabby

Tabby

Open-source, self-hosted AI coding assistant with code completion, chat, and agentic automation.

AttributeAgentsProofTabby
PricingPaidFree
Price$29/month
Free trialNoNo
Open sourceNoNo
Has APIYesYes
Self-hosted optionNoYes
PlatformsNode, edge runtimesLinux, macOS, Windows (via Docker); Cloud IDEs; AWS, GCP, Azure
LanguagesAll (language-agnostic; supports any language supported by underlying LLM)
Released2023
Pros
  • Decorator-level instrumentation — `run.trace()` wraps any LLM or tool call without restructuring your agent code — so teams avoid building a parallel observability layer just to get graded output.
  • Plain-English grader definitions mean you specify rules like 'the agent must never reveal user PII' and every subsequent run is checked automatically, which means you stop discovering policy violations in production.
  • Goldens convert a passing run into a live regression test, so a prompt change that silently breaks established behavior fails the suite before it ships rather than after a user reports it.
  • Deterministic trace assertions — `must_not_call:send_email`, `max_steps:10` — run without an LLM judge, which means they catch structural regressions that a scoring model grades past.
  • Framework-agnostic SDK across OpenAI, Anthropic, LangChain, CrewAI, Vercel AI SDK, and LlamaIndex, so a project that switches providers or adds a second framework does not require a separate evaluation integration.
  • Fully open-source and self-hosted with no vendor lock-in
  • No external databases or cloud services required
  • Agentic multi-step task automation with Pochi agent
  • Support for multiple popular IDEs and code editors
  • End-to-end stack optimization for fast completions under 1 second
Cons
  • No self-hosted deployment option exists: every agent trace is transmitted to AgentsProof's cloud. Teams in regulated industries — healthcare, finance, or any environment with data residency requirements — cannot use the product at all and will need an on-premise eval framework such as a self-hosted LangSmith instance or a custom harness.
  • The product is in beta: grading behavior, SDK contracts, and grader rule syntax are subject to change between releases. A proof suite that passes today can return different scores after a backend grading update, which means regression baselines are not stable enough to anchor a CI gate in a high-stakes pipeline.
  • Synthetic variant generation and advanced grader features are paid-only; teams on the free tier hit the ceiling of the test coverage those features provide and either accept reduced coverage or move to a paid tier — there is no open-source escape hatch since the product is not open-source.
  • Requires infrastructure management and GPU resources for optimal performance
  • Agent (Pochi) is in private preview, not fully released to general availability
  • Steeper setup complexity compared to cloud-based alternatives
Bottom line

AgentsProof is paid while Tabby is free. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AgentsProof and Tabby?

AgentsProof is Paid, while Tabby is Free. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AgentsProof better than Tabby?

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.

AgentsProof vs Tabby: which should I pick?

Pick AgentsProof if its pricing model, openness, or platform fit matches your constraints; pick Tabby 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.