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WrongStack

#85 overall#38 terminal agentverified Sep 4, 2026v1.0.30

From-scratch coding agent with 70 built-in tools and six surfaces, from a plain REPL to a cross-machine HQ, all behind a permission gate

Key differences

From-scratch coding agent with 70 built-in tools and six surfaces, from a plain REPL to a cross-machine HQ, all behind a permission gate

  • Runs local. Free and open source under MIT; sign in with a ChatGPT/Codex, Claude Pro/Max or GitHub Copilot subscription over OAuth, or bring an API key
  • Supports headless CI workflows. Listed for 55 of 125 tools in this category.
  • Runs local models. Listed for 66 of 125 tools in this category.
  • Keep in mind: One-command presets exist for Ollama, vLLM and LM Studio, and any custom base URL can be used to run fully on localhost.

“It ships six different user interfaces, so there is now a wrong way to run it to suit every mood.”

Website Docs 356 starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

WrongStack is a coding agent written top to bottom rather than layered on another CLI: its own kernel, provider transports, tool executor, permission policy, memory system and multi-agent runtime. It reads code, edits files, runs commands and verifies work from a readline REPL, an Ink TUI, a browser WebUI, a SimpleUI, an Electron desktop shell and an HQ command centre that aggregates sessions, agents, cost and worktrees across machines. A 77-role subagent roster fans out under a Director with per-agent budgets and JSONL transcripts, a Brain policy layer auto-decides, denies or escalates risky choices, project-wide SAGE memory persists in SQLite across sessions, and Kanban boards gate tasks on atomic verification. Around 140 providers are pulled live from models.dev, and `--no-features` boots the kernel fully offline.

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
website
Needs individual review
install
Needs individual review
license
Needs individual review
pricing
Needs individual review
capabilities
Needs individual review
models
Needs individual review
protocols
Needs individual review

Architecture

Type
Terminal agent
Runssrc ↗
local
Platforms
macos, linux, windows
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
~140 providers via models.dev, Anthropic, OpenAI, GitHub Copilot, Ollama, vLLM, LM Studio
Bring your own model
Yes
Local models
Yes
One-command presets exist for Ollama, vLLM and LM Studio, and any custom base URL can be used to run fully on localhost.

Protocols

MCP clientsrc ↗
Yes
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
Yes
Multi-file edits
Yes
Git operations
Yes
Browser control
Yes
Browser and end-to-end testing are among the 61 first-party built-in tools listed in the comparison table.
Sandboxed execution
No
Multi-agent
Yes
Headless / CI
Yes

Cost

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

Free and open source under MIT; sign in with a ChatGPT/Codex, Claude Pro/Max or GitHub Copilot subscription over OAuth, or bring an API key

Openness

Open sourcesrc ↗
Yes
License
MIT
First release
unknown
open-sourcefrom-scratchsubagentspermissionsmemorymulti-surfacebyok

Los Agentes on WrongStack

Who are they?
The ruling
El JuezThe judge

El Crítico and La Jefa read the same enormous scope and land on opposite sides, because one is counting untested code and the other is counting the console she has never had.

Trial only
Reasoning and trade-offs · AI analysis

El Crítico scores reliability low because everything here was rebuilt from nothing, which means every failure the category already solved has to be rediscovered in this codebase. La Jefa scores usefulness high for a reason he does not contest: a command centre that aggregates sessions, agents, cost and worktrees across machines is the closest thing to a console anyone offers her.

El Crítico wins first, because an untested surface is a present problem and a console is a future convenience. Trial only, and the exit criterion is a month on one team with the per-agent budgets set and nothing having gone quietly wrong.

Agree with El Juez?
El AmigoThe friend

Pick WrongStack if you want one tool that owns the whole stack; pick a small terminal agent if you would rather have less software than more of it.

6.3
Reasoning and trade-offs · AI analysis

The deciding trait is that nothing here is borrowed. The kernel, the tools, the permission policy and the memory are all this project's own, which means the pieces fit together properly instead of being three tools taped at the edges. When it works, that coherence is something you can feel in a long session.

It is also an enormous amount of software written by a small project, and you will find rough edges. Pick it if you want one thing that does everything. Pick something small if you would rather it did less and did it reliably.

reliability
5
usefulness
7
cost
8
longevity
5
Agree with El Amigo?
El CríticoThe critic

It reimplements the kernel, transports, tool executor, permission policy, memory and multi-agent runtime from scratch, and offers a 77-role subagent roster on top of all of it.

5.3
Reasoning and trade-offs · AI analysis

Writing everything yourself means inheriting every bug the category already found. Provider transports, streaming recovery, partial tool output and interrupted edits are each a long tail of failures the established tools discovered slowly and in public, and none of that learning transfers to a fresh implementation. Seventy-seven declared roles is breadth published as depth; no small project has exercised that many paths.

What it does right is escalate rather than assume. A policy layer that can refuse or ask is the correct default in front of this much reach.

reliability
4
usefulness
6
cost
6
longevity
5
Agree with El Crítico?
El ProfesorThe professor

Tasks are gated on atomic verification before advancing, and a policy layer classifies each risky choice as automatic, denied or escalated, which are two different control mechanisms.

6.8
Reasoning and trade-offs · AI analysis
  1. Requiring a verification step before a task may advance places the check in control flow rather than in a prompt, which is the difference between a rule and a suggestion. 2. Classifying decisions into three outcomes rather than two is the useful refinement, because escalation preserves the case a binary gate has to guess at.

  2. Neither mechanism has a published false-positive or false-negative rate, and for a policy layer those numbers are the entire question. The architecture is stated carefully and its behaviour is uncharacterised.

reliability
7
usefulness
7
cost
7
longevity
6
Agree with El Profesor?
La InversoraThe investor

277 stars for a project rebuilding an entire category single-handedly under a permissive licence: extraordinary engineering ambition attached to no commercial structure at all.

5.8
Reasoning and trade-offs · AI analysis

The effort here is far larger than the attention it has attracted, which is the shape of a project driven by conviction rather than by demand. That produces remarkable software and a difficult sustainability question, because the maintenance load of owning every layer scales with the ambition while the contributor pool stays at whoever showed up.

Moat: none commercial; the asset is one person's willingness to keep going. Likely path: it remains a magnificent personal system, or the pace becomes unsustainable. Position: enjoy it, pin the version, and do not make it the only way your team works.

reliability
5
usefulness
6
cost
8
longevity
4
Agree with La Inversora?
La JefaThe CTO

Nothing per seat, and a command centre aggregates sessions, agents, spend and worktrees across machines with per-agent budgets, which is the closest thing to a console anyone here ships.

6.0
Reasoning and trade-offs · AI analysis

A view across machines is the feature I have been asking every vendor for. Seeing which agents are running, on whose hardware, against which repositories and at what cost turns a collection of individual habits into something I can actually manage, and per-agent spend limits mean the ceiling is set before the invoice rather than discovered on it.

Identity is still absent. No single sign-on, no provisioning and no audit trail, so the console shows what is happening without proving who authorised it. Approved with conditions: one team, budgets set centrally, and a review before it spreads.

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

MIT, roughly 140 providers pulled live from a public catalogue, presets for three local serving stacks, and a flag that boots the kernel fully offline with the extras switched off.

8.3
Reasoning and trade-offs · AI analysis

An offline boot flag is a promise nobody else on this board makes in writing. It means the thing genuinely runs with no network, rather than running until some optional feature quietly reaches out, and the fact that the protocol client is one of the features it disables tells me somebody thought about what offline actually requires.

Three local serving stacks have one-command presets and any base URL works besides, so the weights stay on my hardware. Permissive licence on a codebase that owes nothing to anyone else, which is the cleanest fork position here.

reliability
8
usefulness
8
cost
10
longevity
7
Agree with El Hacker?