Search Results for "traceability"
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Showing 71 open source projects for "traceability"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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claude-code-sourcemap
This repository publishes packages via npm
claude-code-sourcemap is a tooling extension designed to improve visibility and traceability within AI-assisted coding workflows by mapping generated or modified code back to its original sources or reasoning steps. The project likely focuses on debugging and auditing, helping developers understand how and why specific code changes were made by an agent. It may generate structured mappings between prompts, intermediate steps, and final outputs, enabling deeper inspection of agent behavior. ... -
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TREK
A self-hosted travel/trip planner with real-time collaboration
TREK is a system designed to explore task execution, reasoning, or knowledge traversal in structured environments, likely focusing on guiding agents through complex multi-step processes. The project appears to emphasize traceability, allowing users to follow how decisions are made and how tasks progress through different stages. Its architecture suggests a focus on modular reasoning, where each step in a process is clearly defined and can be analyzed independently. This makes it particularly useful for debugging, experimentation, and understanding agent behavior in complex workflows. ... -
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pgAudit
PostgreSQL Audit Extension
...It extends the standard PostgreSQL logging capabilities by capturing structured audit logs for activities such as DML, DDL, and role changes. Designed for environments that require traceability, pgaudit makes it easier to track who did what, when, and where in a database. -
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PageIndex
Document Index for Vectorless, Reasoning-based RAG
...Rather than chunking text and embedding it into a vector database, PageIndex constructs a tree-structured index — similar to a detailed, AI-enhanced table of contents — that a large language model can traverse to locate the most relevant sections of long documents. This reasoning-driven retrieval aligns more naturally with how humans explore complex texts, improving relevance and traceability, especially in professional domains like financial reports, legal contracts, and technical manuals. The project includes example notebooks, scripts for tree generation and search, and support for multiple document formats including PDF and markdown, with tools designed to preserve context and semantic boundaries. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Paper2Slides
From Paper to Presentation in One Click
...It uses an extraction approach intended to capture critical insights comprehensively, including important visuals and data points that often get missed in naive summarization. A major focus is traceability: generated slide content is designed to remain linked back to the source material so you can verify accuracy and reduce information drift. It also offers styling flexibility, letting you use built-in themes or describe a custom design direction in natural language for themed outputs. -
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Obscura
The headless browser for AI agents and web scraping
Obscura is a security-focused project aimed at providing tools and techniques for enhancing privacy, anonymity, and operational security in digital environments. It is designed for users who need to obscure their digital footprint and reduce traceability across systems. The project typically includes utilities for masking identity, managing secure communication, and mitigating surveillance risks. It emphasizes practical implementations of privacy-preserving workflows rather than purely theoretical approaches. Obscura is particularly relevant for researchers, security professionals, and privacy-conscious users. ... -
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PaperTrail
Track changes to your rails models
PaperTrail is a Ruby on Rails gem providing version tracking for ActiveRecord models. It stores every change to records, enabling auditing, undo/redo of updates, and historical reconstruction of model states. Designed for traceability, compliance, and temporal querying across Rails applications. -
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The Bastion
Authentication, authorization, traceability and auditability for SSH
The Bastion is a hardened, audited, and production-grade bastion host developed by OVHcloud. It facilitates secure, controlled, and traceable SSH access to remote systems. The system is designed to be tamper-proof, with a strict access control system and logging for all user actions. It is widely used in enterprise environments to enforce secure and auditable infrastructure access policies. -
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Webgrind
Xdebug Profiling Web Frontend in PHP
Webgrind is an Xdebug profiling web frontend for PHP, offering a lightweight and easy-to-use interface to visualize profiling data. It helps developers identify performance bottlenecks in their applications by displaying function call statistics, memory usage, and execution time. Webgrind is ideal for performance analysis and optimization of PHP code, providing insights into code efficiency. -
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OpenCTI
Open Cyber Threat Intelligence Platform
...OpenCTI is built to integrate with external tools including MISP, TheHive, and MITRE ATT&CK, allowing it to function as a central intelligence hub in security operations. Its design emphasizes traceability by linking intelligence objects back to their original sources and tracking confidence levels and temporal metadata. -
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Alook
The collaboration layer for your AI workforce
...It is designed for developers, solo founders, and teams that want multiple AI agents to handle development, operations, research, and routine work with clearer structure. Alook also emphasizes memory and traceability, so agents can remember past decisions, learn preferences, and keep a record of instructions and replies. Its main value is turning separate AI coding tools into an organized, always-on operating system for agent-based work. -
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Feynman
The open source AI research agent
Feynman is a command-line AI research agent designed to automate complex research workflows by orchestrating multiple specialized agents that collaborate to gather, analyze, and synthesize information into structured outputs. It operates as a “Claude Code for research,” allowing users to input natural language queries and receive fully developed, source-grounded research briefs, literature reviews, or experimental analyses. The system is built around a multi-agent architecture that includes... -
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Claude Code PM
Project management system for Claude Code using GitHub Issues
...Instead of relying on separate project management tools, CCPM uses GitHub issues as the single source of truth, helping teams turn product requirements documents into trackable tasks and epics with full traceability throughout the development lifecycle. It supports parallel execution of AI agents by isolating work in separate Git worktrees, preserving context and allowing multiple streams of work without interference, which addresses common pain points in AI-driven coding where context often disappears between sessions. -
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Generative AI Examples
Generative AI Examples is a collection of GenAI examples
Efficiently integrate secure, performant, and cost-effective Generative AI workflows into business value. Detailed framework of composable building blocks for state-of-the-art generative AI systems including LLMs, data stores, and prompt engines. Architectural blueprints of retrieval-augmented generative AI component stack structure and end-to-end workflows. A four-step assessment for grading generative AI systems around performance, features, trustworthiness and enterprise-grade readiness. -
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Khazix Skills
Digital Life Kazik Open Source AI Skills Collection
...It acts as a pipeline that analyzes a repository’s metadata, extracts relevant information such as README content and commit hashes, and converts it into a standardized skill format that can be integrated into agent ecosystems. The system emphasizes lifecycle management by embedding versioning, traceability, and metadata directly into generated skill files, allowing future updates and synchronization with the original repository. It also generates wrapper scripts that enable AI agents to interact with the underlying repository functionality without requiring deep manual integration. By enforcing a consistent schema, the project ensures interoperability between skills and simplifies deployment across environments. ... -
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Vedana
Open source multi-agent RAG over a knowledge graph
Vedana is an open-source multi-agent RAG system built around a typed knowledge graph. It is designed for questions that require structure, completeness, and traceability instead of simple text similarity. The system lets agents navigate data step by step through Cypher queries, vector search, document lookup, and source verification. Its architecture combines a knowledge graph, pgvector-based embeddings, incremental ETL, and a backoffice interface for chat, metrics, prompt tuning, and data loading. ... -
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DDN
DDN, Data Delivery Network, a next generation blockchain system
...Multi-function, payment, certificate storage, AOB, DAPP, etc. Multi industry, currently covering copyright protection, electronic medicine, food safety, anti-counterfeiting traceability and other fields. Visual deployment, you can customize your own blockchain by clicking the mouse and publish it to the peer server. Docker, tod support mainstream deployment methods such as docker. -
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LangExtract
A Python library for extracting structured information
LangExtract is a Python library developed by Google that leverages large language models (LLMs) to extract structured information from unstructured text—such as clinical notes, research papers, or literary works—based on user-defined instructions. It is designed to transform free-form text into reliable, schema-constrained data while maintaining traceability back to the source material. Each extracted entity is precisely grounded in its original context, allowing visual inspection and validation via automatically generated interactive HTML visualizations. LangExtract supports a wide range of models, including Google Gemini, OpenAI GPT, and local LLMs via Ollama, making it adaptable to different deployment environments and compliance needs. ... -
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Event Horizon
Event Sourcing for Go!
...ES stands for Event Sourcing and is a technique where all events that have happened in a system are recorded, and all future actions are based on the events instead of a single data model. The main benefit of adding Event Sourcing is traceability of changes which can be used for example in audit logging. Additionally, "incorrect" events that happened in the past (for example due to a bug) can be compensated for with an event that will make the current data "correct", as that is based on the events. -
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InfiAgent
Build your own Cowork, AI Scientist and other SoTA Agents
...The framework uses a serial multi-agent hierarchy where specialized agents coordinate in tree-structured paths for clear task delegation and minimal tool conflicts, while batch file operations and persistent workspaces ensure reproducibility and traceability. It aims to solve real-world challenges in long-horizon reasoning and execution, offering configuration-driven customization so that users can define domain-specific agents like research assistants. -
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Fabbim Tekla Exporter
Plugin for Tekla Structures to export models to the Fabbim steel trace
...Using Fabbim, each steel component can be tracked from fabrication to site installation. Key features: • Export Tekla models directly to Fabbim • Track steel assemblies and parts • Generate QR codes for steel traceability • Monitor fabrication progress • Track galvanizing processes • Manage logistics and deliveries • Follow installation progress on site Official website: https://www.fabbim.com Learn more about the Tekla plugin: https://www.fabbim.com/fabbim-tekla/en Documentation: https://www.fabbim.com/docs/en -
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uniqueRcGenerator
Unique Return Codes for structured Bash error handling and testing
...The rcGen generator analyzes shell scripts, extracts symbolic error identifiers, and produces consistent mappings for development, automated testing, CI/CD pipelines, and production deployment. URC improves debugging, traceability, and maintainability by separating logical error semantics from numeric shell exit-code constraints while remaining fully compatible with standard Unix environments. Designed for DevOps automation, test engineering, embedded Linux systems, infrastructure scripting, and maintainable command-line tooling, URC integrates without runtime dependencies and fits naturally into existing build systems and version-controlled workflows. -
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...Updates only the changed files at the destination, reducing transfer time and bandwidth usage. CSV-Based Logging: Generates detailed execution logs in CSV format. Benefits: Reduces manual effort in file deployment and updates. Provides traceability through detailed CSV logs.
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Sparx' EA - MDG for TRAK
MDG for Sparx' Enterprise Architect to Create TRAK arch. descriptions
Custom add-in (MDG technology) for Sparx Systems Enterprise Architect UML modelling tool (https://sparxsystems.com/products/ea/index.html) to create architecture descriptions using TRAK https://sf.net/projects/trak Provides: - the set of TRAK views that can be represented using UML and SysML . Each view display a custom toolbox palette with the objects and relationships that are needed for that TRAK view - relationships can be made directly from the objects on a view using the... -
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NKTgLaw
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core implementation, REST/gRPC API, and 150+ client wrappers