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metaforismo/README.md

Francesco Giannicola

I build software where research, systems, and product meet.

AI systems · developer tools · native apps · compilers · applied research

Website LinkedIn X

AI Systems Developer Tools Native Apps Compilers Research


About

I'm a Computer Science & Artificial Intelligence student at the Università della Calabria, an independent software engineer / builder, and the founder of Limes Labs.

I like taking difficult ideas and turning them into working systems. My projects move across AI and agent infrastructure, developer tooling, native software, compilers and formal verification, benchmark systems, local-first products, and applied research.

The part I enjoy most is usually what comes after the first demo: making the system observable, testing where it breaks, measuring the right things, and pushing it until the idea becomes something real.

Default mode: build → measure → break → improve → ship.

Open source

OpenClaw · upstream contributor

Contributions across agent runtime, Gateway reliability and performance, automation, native iOS, and messaging/provider integrations.

As of Aug 2026: 23 PRs opened · 18 merged upstream.
View upstream contributions · Release-note acknowledgement

Selected work

Project What I built
IntentForm Local-first design environment where humans and coding agents edit the same validated Semantic Interface Graph, then compile it deterministically to React, Web, Expo and SwiftUI with evidence-bound verification.
Sigil Experimental systems language and compiler with first-class proof obligations, SMT-LIB verification conditions, Z3 integration, memory/ownership models and a native libgccjit path.
TracePilot Reliability studio and eval harness for computer-use agents: step traces, replay, action verification, recovery policies, safety checks, cost accounting and cross-provider evidence.
Bite Native iOS health product with HealthKit, a typed-tool AI coach, long-term memory, encrypted lab-report processing, widgets, Live Activities and a Cloudflare backend.
AgentKeys Native iPhone control surface for coding agents built around structured lifecycle events, capabilities, approvals, sessions and provider-aware controls.
Atlas Loop Runtime-evidence tooling for agents operating real iOS Simulator interfaces: actions, screenshots, app state, logs, network evidence, traces and reproducible handoffs.

Research & experiments

  • Elliptic Rank ≥ 30 — certificate-first elliptic-curve research pipeline; independently reproduces the public rank-29 baseline with exact, SageMath and Magma evidence while exploring a constructive route toward rank 30.
  • Benchforge — factory for reproducible benchmark arenas with challenge CLIs, independent verification, trust tiers, audit artifacts and hosted leaderboards.
  • Ziba — local-first knowledge workspace built around durable Markdown, typed objects, databases, backlinks and graphs.
  • TarsGPT — AI robotics runtime with voice, tool use, long-term memory, vision, movement, simulation and gait optimization for a TARS-inspired physical robot.

Build stack

Languages
TypeScript JavaScript Swift Python Rust C++

Interfaces & product
React Next.js SwiftUI Expo Electron

Infrastructure & data
Node.js Cloudflare SQLite Docker GitHub Actions

AI, evaluation & systems
Tool-using agents Evals and tracing Playwright Z3 / SMT CMake


The best way to understand my work is to open a repository and run it.

Pinned Loading

  1. TarsGPT TarsGPT Public

    Robot TARS from Interstellar in Real Life

    Python 22

  2. OpenAlphaEvolve OpenAlphaEvolve Public

    AlphaEvolve but OpenSource from scratch

    Python

  3. GPT2 GPT2 Public

    GPT2 from scratch

    Python

  4. StableDiffusion StableDiffusion Public

    Stable Diffusion from scratch

    Python

  5. Ziba Ziba Public

    Ziba: open-source second brain that fuses Notion (typed databases) and Obsidian (local-first markdown + graph). Electron desktop app.

    TypeScript

  6. scriba scriba Public

    Open-source AI voice dictation for macOS & Windows — hold a hotkey, speak, and your words appear in any app. Electron + Rust + gRPC, with adjustable AI cleanup (verbatim/light/heavy).

    TypeScript