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Ringer

#61 agent harnessverified Sep 4, 2026v0.1.1

Runs a swarm of cheap CLI workers in parallel from a JSON manifest and decides pass or fail by executing your check command

Key differences

Runs a swarm of cheap CLI workers in parallel from a JSON manifest and decides pass or fail by executing your check command

  • Runs local. Source-available under the PolyForm Shield licence; you pay for the worker CLI subscriptions or API keys it drives
  • Supports headless CI workflows. Listed for 60 of 194 tools in this category.
  • Runs multiple agents. Listed for 165 of 194 tools in this category.
  • Keep in mind: Files are changed by the worker CLI Ringer spawns for each task, each in its own directory.

“A local page shows every worker's token burn as it happens, which is either observability or a very slow slot machine.”

Website 294 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

Ringer splits the roles: an expensive model writes the specs and reviews results while a swarm of cheaper workers — Codex by default, or any CLI you configure as an engine — does the implementation in parallel. Each task in the manifest gets its own directory, worker, log and verdict, and Ringer runs the task's `check` shell command against the artifact; exit 0 is the only thing it believes. Failures retry once with the failure output injected, every attempt is logged to JSONL or Postgres, and a baseline mode tests the checks themselves before any worker is spawned. Ringside, a local web page that opens with every run, shows every live swarm on the machine with per-worker status, elapsed time and token burn.

Specification

Source verification

Row snapshot checked 2026-09-04. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

overview
Needs individual review
install
Needs individual review
license
Needs individual review
pricing
Needs individual review
capabilities
Needs individual review
models
Needs individual review

Architecture

Type
Agent harness
Runssrc ↗
local
Platforms
macos, linux, windows
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
Codex, Grok, any CLI configured as an engine
Bring your own model
Yes
Local models
No

Protocols

MCP clientunsourced
No
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
No
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
Yes

Cost

Modelsrc ↗
byok
Starts at
$0/mo
Free tier
Yes
Bring your own key
Yes

Source-available under the PolyForm Shield licence; you pay for the worker CLI subscriptions or API keys it drives

Openness

Open sourcesrc ↗
No
License
PolyForm-Shield-1.0.0
First release
unknown
source-availableswarmverificationparallel-agentseval-logcodex

Los Agentes on Ringer

Who are they?
The ruling
El JuezThe judge

El Profesor gives this the highest architectural marks on the row and El Crítico still refuses to sign, because the part that is rigorous stops before the repository.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Profesor scores it near his ceiling because the pass condition is a command you wrote and the checks themselves are tested before any work starts. El Crítico agrees with all of that and marks reliability down anyway: many task directories, no commits, and nothing that brings the results back into one history.

Both are right and El Crítico is answering the question the reader asks second. Adopt with conditions: write the check before the task, and own a merge step of your own, because the tool deliberately ends at the verdict.

Agree with El Juez?
El AmigoThe friend

Pick it when you have forty similar tasks and a way to test each one; pick a conversational agent when the work needs judgement rather than volume.

7.3
Reasoning and trade-offs · AI analysis

The deciding trait is the division of labour. An expensive model writes the specifications and reviews the results, and a crowd of cheap workers does the actual typing in parallel, which is how you would staff the work if the workers were people. For a pile of similar tasks that shape is genuinely different from asking one model to do everything.

You are the wrong buyer if your work is one hard problem rather than forty small ones. Pick it for volume. Pick a conversation for judgement.

reliability
7
usefulness
8
cost
8
longevity
6
Agree with El Amigo?
El CríticoThe critic

Every task lands in its own directory and nothing commits or opens anything, so a successful swarm leaves you with forty results and no history.

6.5
Reasoning and trade-offs · AI analysis

The tool stops one step short. Each task runs in its own directory with its own worker and its own verdict, and nothing here commits, merges or opens a pull request. A run that succeeds completely leaves a pile of separate results and a manual reconciliation job whose size grows with the thing you were trying to parallelise.

What it does right is retry with the evidence. A failed task is attempted again with the failure output supplied, which is the correct way to spend a second attempt.

reliability
6
usefulness
7
cost
8
longevity
5
Agree with El Crítico?
El ProfesorThe professor

Pass and fail are decided by executing the task's own check command, and a baseline mode validates those checks before a single worker is spawned.

7.8
Reasoning and trade-offs · AI analysis
  1. The oracle is external to the model. A verdict is the exit status of a command the user wrote, not an assessment produced by the system being assessed, which is the distinction most tools in this category collapse. 2. A baseline mode exercises the checks themselves before any work is attempted, so a suite that passes trivially is caught in advance.

  2. Every attempt is recorded to a structured log, which makes a run reproducible and a failure rate computable. This is what evaluation discipline looks like applied to a product.

reliability
9
usefulness
7
cost
8
longevity
7
Agree with El Profesor?
La InversoraThe investor

280 stars and a media company as the vendor: the tool is credible, and tools published beside an audience are usually content before they are products.

6.3
Reasoning and trade-offs · AI analysis

280 stars, and the publisher is a media business rather than a software company. That is not a knock on the engineering, which is careful, but it does tell you what the tool is for commercially: it demonstrates expertise to an audience, and the audience is the asset.

Moat: none in the software. Pricing power: untested, since nothing is charged. Likely path: it remains a well-maintained companion to its author's other work, which is stable while that work continues and stops abruptly if it does not. Position: use the ideas, and assume the support model is goodwill.

reliability
5
usefulness
7
cost
8
longevity
5
Agree with La Inversora?
La JefaThe CTO

A JSON manifest with no interactive step and attempts written to Postgres, plus a mock engine so a pipeline can exercise it without an inference bill.

6.5
Reasoning and trade-offs · AI analysis

Three things here are unusual for this category and all of them matter to me. It is driven by a manifest with no human in the loop, so it schedules. Attempts can be written to a real database rather than a file, so there is something to query. And a mock engine exists, so my pipeline can test the integration without spending anything.

Against that: no SSO, no audit log tied to identity, and Windows only through a compatibility layer. Approved with conditions: attempts logged to our database, and a spend ceiling per swarm.

reliability
7
usefulness
7
cost
7
longevity
5
Agree with La Jefa?
El HackerThe tinkerer

PolyForm Shield is source-available, not open, and any CLI can be configured as an engine, so the workers are whichever tools I already pay for.

7.0
Reasoning and trade-offs · AI analysis

The licence is the compromise. PolyForm Shield lets me read, run and modify it and stops me competing with the author, which is a fair bargain honestly stated, and it still means the word open does not apply. I would rather know than guess.

What I like is the engine slot. Any command-line agent can be configured as a worker, so the swarm is built from the tools I already have logins for rather than from a vendor's list. There is no MCP, so tools stay inside whichever engine brought them.

reliability
7
usefulness
8
cost
8
longevity
5
Agree with El Hacker?