Higgs
Summary
Higgs is a productivity tool whose core function and positioning are not documented in public sources.
No description exists for what Higgs actually performs or which workflow it targets. The problem space it claims to address cannot be identified from available records. No pricing figure is listed, leaving cost entirely unknown. The main observable limitation is the complete absence of any verifiable details on capabilities or results, making evaluation impossible without direct outreach to the provider.
Bottom line: Skip until concrete details on function and pricing appear.
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Cloud AI tools for email require a tradeoff most Proton Mail users never agreed to: send your encrypted mail to an inference API, or get no AI at all. higgs refuses that tradeoff. It is an open-source CLI that connects to Proton Mail through the official Bridge running locally on 127.0.0.1, routes every inference call to a model you host yourself, and enforces a strict local-only architecture with no telemetry, no crash reporting, and no update pings. The core workflow is `higgs classify`, `higgs search`, `higgs archive`, and Q&A over your inbox — all driven by Gemma 4 via Ollama by default, or any server exposing an OpenAI-compatible endpoint via `PM_LLM_BACKEND=openai`.
The differentiating feature is the agent contract. Most CLI tools treat agent compatibility as an afterthought — prose mixes with data on stdout, error strings vary between versions, and agents wait on timeouts because there is no terminator. higgs is engineered from the first byte for machine consumption: every command outputs NDJSON with one object per line and a guaranteed `{“type”:”summary”}` terminator, exit codes are a typed enum rather than freeform integers, and `higgs schema` returns a JSON manifest of every subcommand including flags, argument shapes, stdout format, and valid exit codes. An agent loads that schema once and drives every session from structured ground truth — no prompt-engineering flag syntax on each invocation.
Bridge credentials are stored in the OS keyring — macOS Keychain, Windows Credential Manager, or libsecret on Linux, with an AES-256-GCM encrypted-file fallback — and nothing sensitive enters a model’s context window. Releases are Apache-2.0, cosign-signed, and ship with an SBOM, so you can verify exactly what is running. The tool is purpose-built for Proton Mail users running local-only AI setups; it does not support other mail providers, has no GUI, and exposes no API of its own. Teams whose workflows extend beyond the four core commands or whose users need a non-CLI surface will find the edges quickly.