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@mindfulcto-labs

mindfulcto labs

Applied AI lab publishing reference implementations of patterns used at exec-engineering altitude. AI governance, agentic harnesses, Graph RAG, LLM control plan

mindfulcto-labs

Small, working tools for building and governing AI systems. I write these in my own time and publish the ones that turn out useful.

What is here

Governed agent runtimes, tools for auditing what agents actually did, infrastructure for running LLMs across providers, and the operational tooling around both. Each repository runs offline, ships tests, and says plainly what it does not do.

Repositories

Repository What it is
agentic-os An ontology-driven agentic operating system, as a reference implementation
agent-governance-kit Audits agent run traces against their governance claims, mapped to EU AI Act and ISO/IEC 42001 references
llm-gateway Multi-provider LLM gateway: routing, fallback chains, budgets and usage accounting
sre-copilot Alert triage and runbook execution with approval gates and an audit trail
confighub Schema-validated configuration service with environment overlays and audit history
apiloom-ce Open-source API management platform
agentic-harness A runtime harness pattern for agentic systems
compliance-as-code Compliance controls as code, with AIBOM
agentic-engineer-path Onboarding path and roadmap for engineers joining an agentic AI team
aidlc AI-driven development lifecycle playbooks
engineering-standards Engineering standards and checklists
awesome-ai-governance Curated AI governance list
awesome-rust-ai-governance Curated Rust crates for governance-flavoured work

How I work on these

  • Personal time only. No employer material of any kind: no internal designs, no client data, no proprietary architecture. Examples use synthetic or public data.
  • Everything runs offline. If a tool needs an API key to demonstrate anything, it also ships a deterministic path that does not.
  • Plain English in the READMEs, including about what each tool cannot do.
  • Small on purpose. These are reference implementations and working tools, not products.

Maintained by

@venkat-uk. I lead engineering teams building AI platforms, and I write about that at themindfulcto.com.

Licence

Unless a repository says otherwise, code here is Apache 2.0 and documentation is CC BY-SA 4.0.

Popular repositories Loading

  1. apiloom-ce apiloom-ce Public

    High-performance, open-source API gateway in Go. Routing, auth, rate limiting, unified LLM proxy, sub-millisecond overhead.

    Go 1

  2. apiloom apiloom Public

    Open-source API intelligence platform. One platform: gateway, portal, AI proxy, governance, management console. Built in Go on Lura + PostgreSQL.

    Go 1 1

  3. .github .github Public

    Organization profile + meta for mindfulcto-labs

  4. awesome-ai-governance awesome-ai-governance Public

    Curated, opinionated list of resources for building, governing, and operating AI systems under EU AI Act, ISO/IEC 42001, NIST AI RMF, and UK AI Cyber Code.

  5. agentic-harness agentic-harness Public

    Production-shape agent harness. Autonomy budgets, blast-radius controls, regulator-legible audit trails.

    Python

  6. compliance-as-code compliance-as-code Public

    ISO/IEC 42001 Annex A + EU AI Act Articles 12-15 as code. CLI + library + SPDX 3.0 AIBOM emitter. Plugs into agentic-harness and any LLM gateway.

    Python

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