Laborix

Laborix is an offline experiment-pipeline orchestrator that executes, tracks, and reports automated research programs.

Laborix is a fully offline orchestrator for autonomous experiment pipelines designed for automated research programs. It implements versioned plan schemas, dependency-safe deterministic execution, tamper-evident provenance ledgers, and budget-respecting scheduling. At runtime, the package depends only on NumPy, with PyTorch available as an optional extra. It provides a command-line tool with subcommands to validate plans, execute them, resume crashed runs, schedule experiments, generate ablation matrices, inspect ledgers, and synthesize reports. The software ensures executor determinism, crash recovery, ledger integrity, budget safety, schema discipline, and ablation completeness.

Laborix at a glance

Best for: Researcher
Runs on: CLI, self-hosted, open source
Pricing: Free
Released: September 2026
Category: AI research tool
Website: github.com/opsafari/laborix

Key features

Statically validate research plans
Execute plans deterministically with topological step order
Resume crashed or cancelled runs from the ledger
Run bandit-based experiment schedulers under budget constraints
Generate and execute ablation matrices
Inspect and verify tamper-evident provenance ledgers
Synthesize Markdown and HTML research reports

Use it for

Run autonomous experiment pipelines offline
Verify artifact hashes and ledger integrity
Generate ablation matrices from factor grids
Synthesize research reports from ledgers and result tables

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