Clixad
Freemium
Developers who prefer terminal workflows
Unspaghettit
FreeOpen SourceSelf-HostedAgentic
Agent runs that produce no evidence of what they actually did — no structured output, no validation, no replay — are almost impossible to debug when something ships broken. Orbit exists to close that gap.
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Get This Tool
License: MIT Any use incl. commercial
Local-run terms: MIT license permits unlimited commercial and private use, modification, and distribution with attribution.
Screenshots 1
Pricing
- Model
- Free
Summary
Orbit wraps each coding-agent invocation in a bounded loop: it selects a dependency-ordered task from a backlog, runs the agent, then gates advancement on passing tests, lint, and type checks — not on the agent's self-report. Every run writes structured JSON artifacts and a human-readable progress log, so you can inspect what changed and why a task closed or stalled. The deterministic replay demo runs without an API key, which means you can verify the harness behavior before committing any agent credits. The ceiling appears when your workflow needs anything beyond CLI-compatible agents — there is no API and no visual interface.
Bottom line: Orbit is the right harness when you need proof-gated, reproducible agent runs on a test-disciplined repo — and the wrong fit when your team needs a hosted interface, a REST API, or agents that don't speak JSON over CLI.
Find your fit
Before you choose Unspaghettit
More options in CLI Coding Agents. Compare pricing, platforms, and features side by side.
Airuncode
Freemium
Developers preferring fully local agent execution
Pros
- Proof-gated task closure — tests, lint, and type checks must pass before an orbit advances — which means you stop shipping agent output that looked correct in the diff but broke downstream.
- Structured JSON artifacts on every run (agent-result.json, evaluation.json, review.json, progress.md), so debugging a failed orbit means reading a file rather than reconstructing what the agent did from memory.
- Agent-neutral adapter contract, so you can run Claude and Codex against the same task backlog and compare evaluation scores instead of arguing from anecdotes.
- Deterministic replay demo requires no API key, which means the harness itself is verifiable in CI before any live agent is connected — reducing the risk of paying for agent credits on a broken setup.
- Dependency-aware backlog selection keeps each agent invocation scoped to one task, which means you avoid the compounding errors that come from letting an agent chain across unverified intermediate states.
Cons
- Orbit requires agents that speak JSON over CLI. Agents with proprietary APIs, browser-based interfaces, or non-CLI outputs cannot be connected without writing a custom adapter — a task the docs acknowledge but leave entirely to the contributor.
- There is no hosted option, no REST API, and no web interface. Teams that need to hand off agent monitoring to non-engineering stakeholders, integrate Orbit into an existing SaaS workflow, or run it without local infrastructure have no path forward within the current scope.
- The harness assumes a test suite exists and is the source of truth for correctness. Repositories without meaningful test coverage get validation gates that pass trivially, which defeats the proof model entirely — at that point teams are back to trusting agent self-reports.
- Teams that need agents running in parallel across multiple tasks, conditional branching based on intermediate outputs, or cross-agent handoffs will hit the single-orbit-at-a-time design ceiling quickly. When that happens, the documented response is to build on top of Orbit or move to a more full-featured orchestration layer — at which point Orbit becomes a sub-component rather than the primary harness.
About
- Platforms
- Linux, macOS, Windows (Python-based)
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- June 1, 2026
Best For
Who it's for
- Teams developing AI coding agents
- Projects requiring reproducible agent workflows
- Engineers comparing agent behavior and outputs
- Teams needing human-in-the-loop validation
- Repositories with strong test-driven discipline
What it does well
- Running end-to-end test-driven workflows with AI agents
- Building self-healing repositories with validated commits
- Comparing multiple coding agents on standardized tasks
- Tracking and replaying agent execution for debugging
- Enforcing proof-based task completion in agent teams
Integrations
Frequently Asked Questions
- Is Unspaghettit free?
- Unspaghettit offers a free option. Hosting, model usage, or optional services may have separate costs; check the pricing details and official terms.
- Is Unspaghettit open source?
- Yes. Unspaghettit is open source.
- Can I self-host Unspaghettit?
- Yes. Unspaghettit supports self-hosting on your own infrastructure.
- What platforms does Unspaghettit support?
- Unspaghettit is available on: Linux, macOS, Windows (Python-based).
Curated lists that include this category
Most coding-agent setups amount to a prompt, a run, and a hope. Orbit replaces that with a structured harness: it pulls a task from a dependency-ordered backlog, invokes whichever CLI-compatible agent you point at it (Claude, Codex, Cursor, or any JSON-speaking tool), then runs your actual test suite, lint, and type checks before marking the task complete. If the agent cannot prove its output passes validation, the orbit does not close. The artifacts — agent-result.json, evaluation.json, review.json, and progress.md — are written to disk on every run, giving you a durable, inspectable record of what happened.
The differentiating design choice is the proof gate. Orbit does not accept the agent’s word that a task is done. Validation is structural: tests either pass or they don’t, and the orbit advances only when they do. This makes Orbit specifically useful for self-healing repository workflows — point it at a backlog of failing tests or lint violations, and it will drive agent loops until each item is provably resolved or explicitly stopped. The evaluation.json rubric scores task focus, diff signal, and completion, so you can compare two agents on the same task by reading artifacts rather than re-running everything from memory.
Orbit fits teams that already have test-driven discipline and want to extend it to agent work — the harness assumes tests exist and are the arbiter of correctness. It does not fit teams that need a hosted product, a visual canvas, or a REST API surface: the vendor page describes no API and no SaaS offering. The project is described as intentionally small, and the contribution guide explicitly asks for changes that make the harness easier to verify or replay — not for feature expansion. Teams that need multi-agent parallelism, complex branching across heterogeneous task types, or a web UI will find the current scope limiting and reach for a more full-featured orchestration layer.
Orbit is MIT licensed and self-hosted. The replay demo is fully deterministic and requires no API key, which means CI integration and local verification are straightforward from the first clone. Adapters follow a shared JSON contract, so swapping agents for comparison experiments does not require rewriting the harness — only contributing or configuring a new adapter.
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