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Stoffel is a programming language and runtime stack for secure multi-party computation (MPC), offering a complete toolchain from language, compiler, virtual machine, to protocol layer. Developers write privacy-computing programs in StoffelLang, compile them to.stflb bytecode via the CLI, and execute them across multiple MPC nodes locally or over the network. Sensitive data is input as shares, computation remains encrypted, and results are only revealed through explicit opening operations. Core mechanisms include: a type system distinguishing public and private data, shares distributed among parties, a threshold controlling reconstruction permissions, and protocol messages exchanged between nodes. Usage involves initializing a project, writing source, checking, building, running, and testing, with support for local simulation and network deployment, suitable for joint computation scenarios without exposing raw data.
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About Stoffel
Stoffel is a virtual machine architecture designed for secure multi-party computation (MPC). It provides a complete toolchain: the StoffelLang language, a register-based VM, CLI tools, and SDKs for Python and Rust. Developers write ordinary-looking code that compiles to bytecode, then run it across multiple parties without exposing raw data.
Its core value is lowering the barrier to MPC adoption. The language clearly distinguishes public values from secret shares at the type level, preventing accidental leaks. A built-in simulation environment lets developers test logic locally before real deployment, and the modular protocol backend supports multiple cryptographic fields and security thresholds.
Market pain points addressed: traditional MPC requires deep cryptography expertise, custom protocol implementations, and complex infrastructure. Stoffel packages these into a familiar development workflow, reducing the learning curve from months to days. It also avoids protocol lock-in by separating the language/VM layer from the underlying MPC protocol.
Recent developments (2026-03 to 2026-09): Version 0.1.0 launched in March 2026, followed by 0.1.1 in April fixing installation issues. The project held community X Spaces sessions, and a design partner built a privacy-preserving genomic study prototype. Development focus has been on bug fixes, documentation, and the crypto library, with the team publishing regular progress updates. No major negative events were reported during this period.
As a Web3 data analyst, here are Stoffel's key developments from 2026-03-01 to 2026-09-01:
Core Release & Technical Progress Stoffel officially launched v0.1.0 (2026-06-22), its full MPC runtime stack. The follow-up v0.1.1 (2026-07-06) focused on developer experience: bundling stoffel-run with the CLI, enabling Rust SDK to locate the runner via PATH, and strengthening compiler support for AES/CTR/CBC-style MPC programs. Runtime fixes included per-compile optimizer budgets, safe flattening of nested Share.batch_mul operands, AVSS preprocessing improvements, and preserving client-store counts across VM clones.
Roadmap & Future Focus Official priorities include: (1) completing MPC protocol integration with full preprocessing and computation coordination, (2) building distributed deployment helpers for multi-machine MPC, and (3) adding protocols beyond HoneyBadger. A coordinator service for preprocessing orchestration (Linear STO-245) and direct client input access in programs are pending items.
Ecosystem Signal An independent developer built a private genomic study prototype on Stoffel, indicating early external adoption beyond the core team.
Mikerah Quintyne-Collins (Co-founder, Twitter: https://x.com/badcryptobitch)
Mikerah is the founder of Stoffel Labs, spun out of HashCloak. She began in crypto after a talk by Vitalik, worked at ChainSafe on Lodestar (an Ethereum 2 client), and later founded HashCloak, a research consulting firm. Her work focuses on privacy tech (ZK, TEE, MPC) and she leads Stoffel's MPC VM development. Other co-founders and core executives are not publicly confirmed.