Get This Tool
MemPalace
Pricing
- Model
- Free
Summary
Coding agents produce output you cannot verify — a diff that looks right, tests that were never run, a completion claim with no evidence trail. Orbit exists to close that gap.
Orbit wraps agent runs in bounded loops: it selects one dependency-ordered task, hands it to your agent, runs tests and lint and type checks, and only marks work complete if validation passes. Every run produces structured JSON artifacts and a human-readable progress log, so you are reviewing evidence instead of trusting output. The agent-neutral contract means you can swap Claude, Codex, or Cursor behind the same harness and compare structured artifacts across runs. The tool is intentionally small — it handles the validation harness, not the full development lifecycle. Teams with sparse test coverage will find the validation gates have nothing to enforce.
Bottom line: Pick Orbit when your repo has real tests and you need proof that an agent's output actually passes them — skip it when your backlog has no test coverage, because the validation gates enforce nothing and you are back to trusting the agent's word.
Community Performance Report Card
No community ratings yet. Be the first to rate this tool!
Community Benchmarks Community
Sign in to submit a benchmarkNo community benchmarks yet. Be the first to share a real-world data point.
Pros
Sign in to edit- Validation gates enforce test, lint, and type-check passage before a task closes, which means you are not manually verifying agent output on every run — the harness rejects unproven work automatically.
- Structured JSON artifacts for every run — result, evaluation, review recommendation, and progress log — so comparing two agents on the same task is a file diff, not a judgment call.
- Dependency-aware backlog selection keeps each run scoped to one task in the correct order, which means agents do not start work that depends on incomplete prerequisites.
- Agent-neutral JSON contract lets you swap Claude, Codex, or Cursor without changing the harness, so agent evaluation is controlled rather than confounded by harness differences.
- MIT-licensed and self-hosted with no paid tier, which means audit logs and agent outputs stay in your infrastructure and there is no usage cost to running the harness at volume.
Cons
Sign in to edit- Repositories without a real test suite get no enforcement from the validation gate — the harness has nothing to run, tasks close on agent assertion alone, and teams are back to the trust problem Orbit was built to solve.
- The harness is intentionally scoped to single-task bounded loops: it does not handle pull request creation, CI integration, or agents running tasks in parallel. Teams who need those capabilities build a wrapper layer themselves, at which point they are maintaining Orbit plus custom tooling.
- There is no API and no hosted option — the tool only runs locally or on self-managed infrastructure. Teams that need a managed platform with a UI, team access controls, or webhook triggers will abandon Orbit for a hosted coding-agent platform before their second production deployment.
Community Reviews
Sign in to write a reviewNo reviews yet. Be the first to share your experience.
About
- Platforms
- Cross-platform (Python-based)
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- 2026-06-08T13:17:49.374Z
Best For
Who it's for
- Teams evaluating multiple coding agents
- Repositories with robust test suites
- Organizations requiring auditable agent actions
- Development teams managing complex backlogs
- Agentic workflow experimentation and prototyping
What it does well
- Validating AI agent task completion with real tests and type checks
- Running autonomous coding agents on backlog items in dependency order
- Comparing different coding agents using structured artifacts
- Self-healing repositories with failing tests as baseline requirements
- Auditable agent workflows with human-readable progress logs
Integrations
Discussion Community
Sign in to commentNo discussion yet. Sign in to start the conversation.
Compare MemPalace
Spotted incorrect or missing data? Join our community of contributors.
Sign Up to ContributeCommunity Notes & Tips Community
Sign in to contributeBe the first to contribute. General notes, observations, gotchas, and tips from people who use this tool day-to-day.
Frequently Asked Questions
- Is MemPalace free?
- Yes — MemPalace is fully free to use. There is no paid tier.
- Is MemPalace open source?
- Yes. MemPalace is open source.
- Can I self-host MemPalace?
- Yes. MemPalace supports self-hosting on your own infrastructure.
- What platforms does MemPalace support?
- MemPalace is available on: Cross-platform (Python-based).
Hours Saved & ROI Stories Community
Sign in to contributeBe the first to contribute. Concrete time/cost savings, with context. e.g. "Cut my code review backlog from 4h to 45m per week."
Curated lists that include this category
Most coding agent runs end the same way: the agent reports success, the diff looks plausible, and you spend the next hour figuring out what actually changed. Orbit is a self-hosted, MIT-licensed harness that turns agent runs into bounded, auditable loops. It selects a single task from a dependency-ordered backlog, routes it to your agent via a JSON-speaking CLI contract, runs your existing tests, lint, and type checks, and only closes the loop if validation passes. Four artifacts survive every run: a structured result file capturing what the agent returned, an evaluation scoring task focus and diff signal, a review recommendation, and a human-readable progress log.
The differentiating feature is the validation gate. The vendor states the design principle directly: if the agent cannot prove it, the orbit does not close. That means failing tests are not a soft signal — they are a hard stop. For teams running self-healing workflows where failing tests are the baseline requirement, this is the mechanism that makes agent output trustworthy rather than aspirational.
Orbit fits teams that already have strong test suites and want to run agents against a backlog without losing auditability. It also fits teams evaluating multiple coding agents — swap the adapter, run the same task, compare the JSON artifacts instead of comparing demos. Where it breaks: repositories with thin or no test coverage get no benefit from the validation layer, because there is nothing to enforce. The harness is also intentionally narrow — it does not manage CI pipelines, handle pull request creation, or coordinate agents working in parallel. Teams who need those layers are building them on top of Orbit or reaching for a broader platform.
The repo ships a deterministic replay demo that requires no API key, which the docs describe as running with a single shell command after a standard Python venv setup. The adapter contract is JSON-based, so any CLI-driven coding agent can be connected without modifying the core harness.
