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jmanhype/README.md

Straughter Guthrie

Systems engineer. Elixir/OTP, Erlang, Python.

Building agent infrastructure that treats LLM orchestration as a distributed systems problem, not a prompt engineering problem.

Current work

VAOS (Viable Autonomous Operating System) — an Elixir/OTP framework for epistemic agent orchestration. Three libraries, one runtime:

Library What it does Size Tests
vas-swarm Agent orchestrator. Signal classification, 3-tier routing, 48 tools, 18 LLM providers. 92K lines Elixir + 20K Rust ~3,320
vaos-ledger Epistemic engine. Claims, evidence, attacks tracked with Expected Information Gain scoring. 6,718 lines 208
vaos-knowledge Triple store. ETS-backed, SPARQL subset, 4 OWL 2 RL rules. 1,095 lines 108

The core idea: agents should reason about what they don't know (epistemic governance) rather than just executing tool chains. The investigate tool uses adversarial dual-prompt architecture with citation verification — it argues against its own findings before reporting them.

vaos.sh — SaaS interface to the VAOS runtime.

Selected repos

Repo Language What
vggt-mps Python Apple Silicon (MPS) port of Meta's VGGT visual geometry grounded transformer
MCPhoenix Elixir Model Context Protocol gateway for Phoenix applications
wf-substrate Erlang 43 workflow patterns compiled into native OTP control structures
speckit Shell Spec-driven development toolkit
cloudflare_durable_ex Elixir Cloudflare Durable Objects client for Elixir
ace-playbook Python Adaptive Code Evolution — self-modifying agent architecture

Infrastructure

4-node Tailscale mesh: Mac Mini (gateway, BEAM runtime), MacBook Pro (development), Linux GPU server (3090, training/inference), Windows workstation (Draco, orchestration). OpenClaw for cross-node agent dispatch.

Organizational theory

The architecture draws from Stafford Beer's Viable System Model (1972) — recursive autonomy with meta-systemic coordination. Each agent subsystem mirrors VSM's System 1-5 structure: operations, coordination, optimization, intelligence, policy.

References: Beer's Brain of the Firm, Ashby's Law of Requisite Variety, Wiener's cybernetic feedback loops. See the viable-systems org for the upstream VSM implementation.

Pinned Loading

  1. MCPhoenix MCPhoenix Public

    A simplified implementation of the Model Context Protocol (MCP) server using Elixir's Phoenix Framework.

    Elixir 67 6

  2. vggt-mps vggt-mps Public

    VGGT 3D Vision Agent optimized for Apple Silicon with Metal Performance Shaders

    Python 86 8

  3. ace-playbook ace-playbook Public

    Self-improving LLM system using Generator-Reflector-Curator pattern for online learning from execution feedback

    Python 28 6

  4. wf-substrate wf-substrate Public

    Pure Erlang/OTP workflow substrate. 43 workflow patterns compiled into native executable control structures. 1182 LoC.

    Erlang 1 1

  5. vaos-knowledge vaos-knowledge Public

    ETS-backed triple store for Elixir. SPARQL subset (5 operations), 4 OWL 2 RL rules, 3-way indexing. 11 modules, 1095 lines, 108 tests.

    Elixir

  6. vaos-ledger vaos-ledger Public

    Epistemic governance framework for Elixir. Claims, evidence, EIG scoring, 7-layer adversarial defense, experiment loops. 18 modules, 6718 lines, 241 tests.

    Elixir