Trace

Breadcromb is the developer of Trace, an AI-powered web browser that builds a private knowledge layer from users' reading and uses local-first AI to answer questions, automate tasks, and orchestrate agents within the browser. Trace is offered as a free download and emphasizes privacy and local-first operation.

Traversal is an AI site reliability engineering platform for complex enterprise production systems. It analyzes production data to triage alerts, identify incident root causes through causal analysis, and support incident resolution, with capabilities described for alert intelligence, production support, code resilience, and eventual self-healing fixes. Its AI SRE system is presented as operating at petabyte scale, with Traversal Workers described as proactive agents that can act without being prompted. The platform is listed as trusted by American Express, PepsiCo, and DigitalOcean.

NutriTrace is a self-hosted personal nutrition tracker developed by TraceApps. It runs as a single Docker container and provides a browser Progressive Web App and a native Android app for food diaries, meal and recipe logging, calorie and nutrition goals, adaptive TDEE tracking, intermittent fasting, manual activities, and wellness data. It can use Open Food Facts and USDA data, import recipes from Mealie, and integrate with Fitbit via Google Health, Withings, Garmin, and Health Connect. Its Trace AI features can read diary and wellness data, log food or activities conversationally, and propose food entries from photos for user confirmation. It also exposes selected diary, goal, and food data to external AI agents through an opt-in, read-only Model Context Protocol endpoint. The project supports multi-user access and OIDC single sign-on, provides migration tools for several nutrition trackers, and distributes its server as a Docker image. The source is licensed under AGPL-3.0; the project states that it has no telemetry or cloud synchronization unless a user opts into a third-party integration.

Trace File Lineage is a local-first Python and command-line tool for tracing the origins of files, recording task outputs, and helping place new outputs in an existing workspace layout. For existing files, it reads source code, documents, image metadata, and Git history to rank possible scripts, notebooks, inputs, and runs, attaching evidence and marking results as uncertain when proof is unavailable. For future runs, it wraps a command and records verified provenance from the files changed within the task boundary. It can produce a complete manifest with a nested changed-file structure, show ranked lineage candidates, identify files affected by an input, report stale files, and suggest an output path based on workspace conventions. It is distributed as a Python package with the `trace-file-lineage` installation name and includes a demo command that writes to a local demo directory.

Braintrust is an AI observability and evaluation platform for agents and other AI systems. It traces production prompts, responses, tool calls, latency, cost, and quality; supports searching logs, real-time trace inspection, dashboards, and custom views; and runs experiments against versioned datasets with scoring by LLMs, code, or humans. Teams can turn production traces into evaluation datasets, compare prompts and models, investigate recurring failures through natural-language queries, and use the results to identify regressions and improve agents. Braintrust provides native SDKs for Python, TypeScript, Go, Ruby, C#, and other environments, an MCP server for querying logs and running evaluations from an IDE, and Brainstore, its database and query engine for AI data. The platform states that it supports framework-agnostic integrations, SOC 2 Type II certification, GDPR and HIPAA compliance, SSO, role-based access control, and hybrid deployment options.