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David C Cavalcante

David C Cavalcante

@davccavalcante

AI Governance · AI Infrastructure Engineer · Machine Learning Engineer · Open-Source Author · Python · TypeScript · React

Takk Innovate Studio Spain linkedin.com/in/hellodav@davccavalcante On GitHub since December 2023

8

Published Tools

54

Total Stars

0

Weekly Downloads

62

GitHub Followers

331

Public Repos

100/100

Avg Security

Published Tools

5 MCP Servers2 Skills1 Agentacross 2 categories

davccavalcante

Anthropic Claude Code CLI — Official CLI/TUI coding agent, rebuilt from a leaked source map v2.1.88 (March 2026).

Skillai
371 dir

💾 Model Context Protocol (MCP) Server Vercel for Zed Editor

MCP Serveruncategorised
51 dir

Designed for the future of AI development (2027-2030) and leverages the novel `.ah` (Teleological Semantic Format) for unparalleled efficiency and precision. The skill is built upon proprietary frameworks like MAIC™, HIM™, and NHE™, providing a robust ontological and teleological foundation.

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Skillai
41 dir

davccavalcante

TeleologyHI — A monorepo for controllable AI agents. MAIC (governance & audit), HIM (persistent personality), NHE (runtime). Tamper-evident logging, cryptographic owner control, pre/post action verification, EU AI Act mapping and local model support (HIM 3B distilled included).

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Agentai
31 dir

davccavalcante

Identity registry and lifecycle management for fleets of AI agents. Zero-dependency TypeScript IAM: cryptographic agent identity (Ed25519), declared capabilities with fail-closed authorization, an enforced lifecycle (provision, activate, suspend, revoke, expire, archive), A2A Signed Agent Cards, and a hash-chained audit trail.

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MCP Serverai
21 dir

davccavalcante

Exact Bayesian trust and reputation scoring for tools, MCP servers, skills, and agents. Zero-dependency, TypeScript-first: closed-form Beta-Bernoulli posteriors, calibrated credible intervals, Thompson-sampling routing, time-decay, and a tamper-evident audit trail.

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MCP Serveruncategorised
11 dir

davccavalcante

Observability and a transparent, auditable agent graph for Massive Intelligence (IM) swarms: OpenTelemetry-compatible span tracing, incremental drift detection, failure attribution, loop detection, thirteen alert channels, and SHA-256-chained, Ed25519-signed trace logs. Zero dependencies, node-free core, TypeScript-first.

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MCP Serverai
11 dir

davccavalcante

Cost governance for Massive Intelligence (IM) agent orchestration: hard per-request, per-task, and per-day USD budgets with depletion events, pre-flight cost forecasting, prefix-cache break-even planning across sixteen provider profiles, and cheapest-first cascade routing. Zero dependencies, node-free core, deterministic, TypeScript-first.

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MCP Serverai
11 dir