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Vogte

#229 overall#107 terminal agentverified Sep 4, 2026

Agentic terminal specialised for existing Go codebases, using AST-compressed repository context and go vet as its feedback loop

Key differences

Agentic terminal specialised for existing Go codebases, using AST-compressed repository context and go vet as its feedback loop

  • Runs local. Free and open source under MIT; you pay the model provider you configure

“One subcommand dumps your entire repository context into a file, for when you would rather pay for the tokens by hand.”

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What it is

Vogte is a language-specific coding agent for Go projects. It parses the repository with abstract syntax trees to build a compressed holistic context for the model, applies patches, and then runs a sanity check (currently go vet ./...) to display project health immediately after each change. It offers an ask mode and an agent mode that applies patches directly, plus CLI subcommands to review changes against a base branch and to dump repository context to a file. With OPENAI_API_KEY set it works with no configuration, and it also supports Anthropic models through AWS Bedrock.

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
capabilities
Needs individual review
models
Needs individual review
license
Needs individual review
install
Needs individual review

Architecture

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

Models

Backbonesrc ↗
OpenAI, Anthropic, AWS Bedrock
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
No
Headless / CI
No

Cost

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

Free and open source under MIT; you pay the model provider you configure

Openness

Open sourcesrc ↗
Yes
License
MIT
First release
unknown
open-sourcegoterminalastlanguage-specific

Los Agentes on Vogte

Who are they?
The ruling
El JuezThe judge

El Profesor and El Crítico both examined the loop and each stopped at a different end of it: one at how context enters, one at what checks the result.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Profesor scores the context construction well, and he is right that parsing the repository rather than sampling it is the disciplined choice. El Crítico scores reliability lower because the check that runs afterwards is a static vetting pass, which reports suspicious constructs and says nothing about whether the change works. El Amigo agrees with both and buys it anyway.

El Crítico wins on the verification and takes nothing away from El Profesor's reading, because a good context is not a substitute for a test. Adopt with conditions, the condition being that your own test command runs after every accepted patch.

Agree with El Juez?
El AmigoThe friend

Pick this if you write Go all day and want a tool that knows it; pick a general terminal agent the moment a second language appears in the repository.

6.3
Reasoning and trade-offs · AI analysis

The deciding trait is that it does one language and refuses the rest. Specialisation buys real things here: it understands the structure of your project rather than treating it as text, and the feedback it shows you after a change is the one Go developers already read. Nothing general manages that without configuration.

The same choice is the ceiling. A template, a config file or a second language in the tree and you are back to a general tool. Pick it if your work is Go and only Go. Pick a general agent if your repositories are mixed.

reliability
6
usefulness
6
cost
8
longevity
5
Agree with El Amigo?
El CríticoThe critic

The sanity check after each change is a static vetting pass, which flags suspicious constructs and cannot tell you whether the patch it just applied actually works.

5.5
Reasoning and trade-offs · AI analysis

The feedback loop is weaker than its placement suggests. Showing project health immediately after a patch implies verification, and the check being run detects a fixed set of suspicious patterns. A change that compiles, passes it, and breaks behaviour is indistinguishable from a correct one, and that is the most common way an agent's edit goes wrong.

What it does right is run anything at all. Most agents in this class apply a patch and stop, leaving the first signal to arrive from a human several minutes later.

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

Context is built by parsing the repository into syntax trees and compressing them, which is structural retrieval rather than similarity search over text fragments.

6.5
Reasoning and trade-offs · AI analysis
  1. A parsed representation preserves the relationships an embedding discards: which function calls which, what a type is composed of, where an interface is satisfied. For a task that is inherently about structure, structural retrieval is the correct instrument. 2. Compressing that representation rather than the raw source spends the window on signatures instead of bodies.

  2. Restricting the design to one language is what makes this tractable, since a single grammar removes the parser abstraction most tools pay for. 4. No evaluation is published.

reliability
7
usefulness
6
cost
8
longevity
5
Agree with El Profesor?
La InversoraThe investor

A hundred and eighty-one stars, one author, and a market defined as people writing one language, which is a small denominator before anything else is considered.

5.3
Reasoning and trade-offs · AI analysis

Single-language tooling has a hard ceiling and a real floor. The floor is that the audience it serves is genuinely underserved by general tools; the ceiling is that the audience is a fraction of a category whose competitors are funded to serve everyone. Nothing here converts either into revenue.

Moat: the language-specific parsing work, which is the sort of thing a general tool adds as a plugin once the idea proves out. Likely path: quiet personal maintenance, or the technique reappears inside a larger agent. Position: use it, expect to own it.

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

Free across sixty engineers, of whom perhaps a third write this language, and there is no console, no audit record and no unattended mode to put in a pipeline.

4.5
Reasoning and trade-offs · AI analysis

Partial coverage is its own problem. A tool that serves one part of the estate means two workflows, two sets of instructions and two answers whenever someone asks what we use, and the saving on the covered fraction rarely justifies that split at sixty people.

Beyond the coverage question the usual absences apply: no identity integration, no provisioning, no central record of what was run, and nothing that executes inside delivery tooling. The supplier is an individual. Not yet, though I would not object to one team using it privately.

reliability
4
usefulness
3
cost
8
longevity
3
Agree with La Jefa?
El HackerThe tinkerer

MIT, and with one environment variable set it runs with no configuration at all, plus a Bedrock path — but no install command in the row, no MCP client and no local endpoint.

5.5
Reasoning and trade-offs · AI analysis

Zero configuration when a key is already exported is the correct default, and offering a managed cloud route beside the direct one covers the people whose credentials live in an account rather than a file. Permissive licence, small Go source, forkable.

Then the gaps stack up. No documented install path, so I build from source. No MCP client, so the servers I run stay outside. No local endpoint, so a tool that parses my repository locally still ships the interesting part of it to somebody else's inference.

reliability
6
usefulness
5
cost
7
longevity
4
Agree with El Hacker?