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botzrDev/README.md

Hi, I'm Austin πŸ‘‹

Lead Infrastructure Engineer. I build capability and policy enforcement for untrusted code: the layer that decides what an AI agent is allowed to touch, and proves what it touched afterwards.

Both sides of that problem. On the building side, a runtime and eight crates on crates.io. On the breaking side, four findings across two third-party MCP servers, CVSS 8.1 to 9.0 by my own assessment, coordinated disclosure in progress.

I spent a decade operating production infrastructure β€” Linux and Windows Server, virtualization, identity, networking, incident response β€” before moving to systems software full time. My foundation is the US Air Force, where I directed squadron IT operations and held a Secret clearance. That's where I learned security isn't a layer you add later.

Everything below is local-first and measured rather than asserted. Open source and source-available both β€” licenses vary, so check each project.

πŸ”­ What I'm building

botzr-aegis β€” a capability-based execution runtime for AI agent tools. Eight crates on crates.io β€” cargo install botzr-aegis-cli. Every tool call passes a policy β†’ capability β†’ sandbox β†’ audit pipeline before it runs. Isolation is wasmtime + the WebAssembly Component Model (WASI Preview 2): default-deny networking, cap-std filesystem preopens, per-call memory limits, epoch-based interruption. Policy evaluation benchmarks at 32 ns, the policy-and-capability hot path at 2.7 Β΅s. MIT

dreamd β€” a portable memory layer for AI coding agents. One .agent/ folder shared across Claude Code, Cursor, Cline, and anything else that speaks MCP. Plain JSONL you can grep, diff, and hand-edit. BM25 retrieval over a single-writer Tantivy index β€” no embedding model, no GPU, no telemetry. v0.1 public August 9. Apache-2.0

mcp-guard β€” a security gateway for Model Context Protocol servers. stdio, HTTP, and SSE transports, with API key authentication, JWT validation, OAuth 2.1, and per-tool authorization. AGPL-3.0 core, with commercial Pro and Enterprise tiers.

uveddi β€” multi-language architectural analysis across Rust, Python, JavaScript, and TypeScript. Tree-sitter based, with SARIF security export and WebAssembly plugin support. CC BY-NC-SA 4.0 β€” source-available, not OSI open source.

ECHOS (unreleased β€” no public repo yet) β€” security research into how agent tooling actually fails, disclosed privately before publication. Findings, not think-pieces.

πŸ“„ Writing

  • Provenance Is Not Independence β€” reconstructing provenance doesn't establish source independence, so agents sharing an epistemic ancestor get miscounted as independent corroboration. Proposes a deterministic lineage-set check using Kish effective sample size over W3C PROV-DM, with no model calls in the hot path.
  • The Individuation Architecture β€” agent identity as a developmental problem rather than a configuration one, compared against 12 adjacent approaches.

πŸ“« Reach me

I build in public because infrastructure gets better when people can check it. Review the code, open an issue, or argue with me about a benchmark.

Currently open to senior and lead infrastructure roles β€” fully remote.

LinkedIn Β· austin@botzr.com

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  1. uveddi uveddi Public

    Multi-language architectural analysis via Tree-sitter (Rust, Python, JS, TS) with SARIF security export and WASM plugins. Source-available under CC BY-NC-SA 4.0.

    Rust 2 1

  2. dreamd dreamd Public

    Portable, local-first memory layer for AI coding agents. One .agent/ folder shared across Claude Code, Cursor and Cline over MCP. Plain files, no vector DB.

    Rust 3 2

  3. ZizkaDB ZizkaDB Public

    Forked from Zizka-ai/ZizkaDB

    Self-hosted DB for AI agents. Prove why an agent did something , causal lineage (why()), time-travel state (at()), drift baselines. AGPL. LangChain/CrewAI/MCP.

    TypeScript