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Infrastructure for safe, observable AI development

Open-source tools that make AI coding agents safer, more transparent, and easier to trust in production workflows.

Available

Guard

Stdlib-only safety hooks for Claude Code. Validates bash commands, protects credentials, enforces git discipline, scopes subagents, and guards protected files.

Zero deps Claude Code plugin
/plugin marketplace add TracineHQ/plugins /plugin install guard@tracine
View on GitHub
Available

Convo

SQLite-backed analytics CLI for AI coding sessions. Indexes session logs, full-text search across transcripts, tool-call analytics, and atomic snapshot/restore.

Zero deps Claude Code plugin
/plugin marketplace add TracineHQ/plugins /plugin install convo@tracine
View on GitHub
Alpha

eval-kit

Statistical confidence for LLM evaluation. Welch's t-test, Glass's delta, power analysis. Zero-dep JavaScript, scipy-backed Python, cross-validated on every commit.

JS + Python scipy-validated
View on GitHub
Coming Soon

triage

AI-assisted SAST triage. Prioritizes static analysis findings with LLM reasoning, reduces false positive noise, accelerates security review.

LangGraph pipeline Multi-tool SAST Open source

Why Tracine

Pre-execution, not post-mortem

Guard's hooks fire before the tool call. Block dangerous shell commands, credential exfiltration, and edits to protected files before they execute, not after.

Receipts, not recall

Every Guard decision writes to JSONL. Every session writes to SQLite. Full-text search across what your agent actually did, not what it claimed it did.

Math, not vibes

Real statistics for LLM comparison. Welch's t-test, Glass's delta, power analysis. Cross-validated against scipy on every commit.