Fida is a local-first secret-leak prevention layer for AI coding agents. It stops credentials from ever reaching model context: when an agent reads aenv or runs a command, Fida returns a redacted view, while the real command still executes with the true secret, so the work succeeds. The agent uses a secret without seeing it. Fail-closed by design, nothing leaves your machine. Not a heavy policy firewall — one focused job, done right.
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Maker
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Hey hunters 👋 I'm the maker of Fida.
I built this because I use AI coding agents every day, and I kept noticing how casually they pull .env files, config, and command output straight into model context. Your secrets end up somewhere you never see — and existing tools either scan git history after the leak, or wrap everything in a heavy policy firewall so annoying that people just turn it off.
Fida takes a narrower stance: a detected secret must never reach the model, full stop. When an agent needs sensitive content, Fida hands it a redacted view (API_KEY=[REDACTED]) — but the actual command still runs with the real credential, so nothing breaks. The agent uses the secret without seeing it.
A few choices I care about:
• Local-first — nothing leaves your machine.
• Fail-closed — if Fida can't prove a response is clean, it suppresses it rather than leak a fragment.
• Honest scope — it names its coverage (enforced / best_effort) instead of pretending to protect everything.
It's open-source (Rust, MIT) and install-and-forget — one command wires every coding agent it detects (Codex, Claude Code, Cursor, Windsurf, and more).
Would love your feedback, especially on detector coverage and which agents you'd want supported next. 🙏