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hummbl-dev/README.md

HUMMBL

Governance infrastructure for AI agents.

HUMMBL builds small, inspectable control-plane primitives for agentic systems: delegation tokens, append-only receipts, kill switches, circuit breakers, capability fences, source-verification gates, and review workflows that create evidence while the system runs.

The bias is explicit:

  • libraries over platforms — controls should live in the execution path, not only in a dashboard after the fact
  • receipts over vibes — every governance claim should leave an audit trail
  • stdlib-first primitives — core safety controls should survive constrained, regulated, and air-gapped environments
  • human override preserved — automation assists governance; it does not become the sovereign
pip install hummbl-governance

PyPI License Runtime deps


Start Here

Need Repository
Runtime governance primitives hummbl-governance
Mental-model substrate base120
Source-verification gate evidence-gate
Code quality and governance scoring arbiter
MCP access to HUMMBL models and skills mcp-server
Agent orchestration patterns hummbl-agent
Research and citation corpus hummbl-bibliography
Public profile, tools, and repo inventory hummbl-dev

Current Work

Area What is shipping
Agent governance hummbl-governance, agent-governance-demo, hummbl-agent, mcp-server
Evidence and review evidence-gate, arbiter, governed PR review protocols, source-verification rules
Cognitive substrate base120, hummbl-theory, hummbl-bibliography, arcana
Operator infrastructure founder-mode, claude-config, hummbl-iac
Product research fractional-bench, coaching, hummbl-production
Experimental public repos autoresearch, governed-compression, sint-protocol, bif

Some repositories are private while they contain operator workflows, client-sensitive research, or active product work. Public repositories are the durable reference surface.


What HUMMBL Means by Governance

Governance is not a policy PDF. It is a runtime property:

  1. Who is acting? Agent identity, trust tier, and delegation scope.
  2. What authority do they have? Signed capability tokens and bounded tools.
  3. What happened? Append-only receipts, bus messages, and evidence logs.
  4. What should stop the system? Kill switches, circuit breakers, cost governors, and review gates.
  5. What can be audited later? Source manifests, PR reviews, test evidence, and structured findings.

That is the spine across the org: small primitives that make governance observable, testable, and reviewable.


By The Numbers

Inventory captured on 2026-05-08:

Metric Count
Total repositories 54
Active public repositories 35
Active private repositories 17
Archived repositories 2
Primary language family Python-heavy, with TypeScript, HTML, Shell, TeX, Go templates, Java

Latest repo inventory: docs/GITHUB_REPO_INVENTORY_2026-05-08.md

Latest branch cleanup audit: docs/BRANCH_CLEANUP_AUDIT_2026-05-08.md


Research

HUMMBL's public thesis is that AI governance will move from abstract policy to runtime evidence. The research corpus tracks:

  • AI-generated code risk and liability
  • agentic control-plane design
  • source verification before publication
  • governance receipts and audit trails
  • mental-model infrastructure for agent reasoning
  • practical compliance mapping across NIST AI RMF, ISO 42001, EU AI Act, OWASP, and related frameworks

Useful entry points:


Tools

Free self-assessments and references:

Tool Purpose
Tool index Landing page for the public tools in this repo
EU AI Act readiness Governance posture check
NIST AI RMF readiness Framework-aligned assessment
ISO 42001 readiness AI management system checklist
Singapore agentic AI readiness Agent governance architecture assessment
Colorado AI Act readiness State-level algorithmic decision compliance
Compliance calendar AI governance timeline
Governance crosswalk Framework comparison

Contact

HUMMBL, LLC is founded by Reuben Bowlby in Atlanta, GA.

Governed agents need receipts, not slogans.

Pinned Loading

  1. base120 base120 Public

    Base120 is a deterministic governance substrate for system design, validation, and execution. It defines executable mental models, failure modes, and guardrails to enforce correctness, escalation, …

    Python 1

  2. mcp-server mcp-server Public

    HUMMBL MCP Server

    TypeScript 4 1

  3. hummbl-governance hummbl-governance Public

    Governance runtime for AI agent orchestration — kill switch, circuit breaker, cost governor, delegation tokens, audit log, identity registry, schema validator. Zero dependencies. 583 tests.

    Python

  4. arbiter arbiter Public

    Agent-aware code quality scoring — cyclomatic complexity, dependency analysis, test coverage, governance compliance. Grades repos A through F with evidence-backed findings.

    Python

  5. hummbl-bibliography hummbl-bibliography Public

    HUMMBL Bibliography repo

    TeX 1

  6. hummbl-theory hummbl-theory Public

    Theoretical foundations for HUMMBL, Base120, HCC, and BKI — provenance corpus, BibTeX citations, position papers