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mangaba-jarvis

Mangaba-ai/mangaba-jarvis

JARVIS HUD for OpenClaw agents in Brazilian Portuguese with TypeSafe Jev.

Agent Decisions0.98Runner-up: Classification & RoutingGhostwriter
Automated README summary

Automatically summarized from the README on 4 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A JARVIS-style HUD for OpenClaw agents, in Brazilian Portuguese, with ElevenLabs voice, the mangaba-titan brain, and TypeSafe Jev deciding each turn. Based on openclaw-jarvis-ui by Jincoco.

How it uses Jev

One Jev call per turn measures intencao, precisa_agente, acao_arriscada, acao_clara, risco_de_inventar, complexidade, manipulacao, and fala_terminou. These govern the request path, confirmation, web checking, thinking, refusal, and voice turn-taking. Jev also interprets interruptions and checks task results.

Primitives:choicescorenoul

Technique worth stealing

Speculation: the direct titan path starts generating while Jev decides, so discarding is safe and Jev latency disappears.

Try it

git clone, ./setup.sh, fill .env, node --env-file=.env server/index.js, open http://localhost:9999.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.78
  • Shows a System One patternFound in material0.88
  • Describes handling uncertaintynot found in the excerpt0.10
  • Reports measured numbersFound in material0.79
  • Is a runnable toolFound in material0.82
  • Top-10 learning shortlist signalnot found in the excerpt0.33
  • Is a replica of the modelnot found in the excerpt0.05
  • Solves a common problem (0–2)score on a 0–2 scale0.87 / 2
  • About JevFound in material0.97
Signals
Jev is core to the project0.78Shows a System One pattern0.88Describes handling uncertainty0.10Reports measured numbers0.79Is a runnable tool0.82Top-10 learning shortlist signal0.33Is a replica of the model0.0500.51Solves a common problem (0–2)0.87 / 2012

no-judgment band (0.40–0.60)

Design patterns
Ghostwriter0.93Funnel0.56Question bank0.23Traffic light0.22Blind review0.2000.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 4 Oct 2026.