Search Results for "no knowledge" - Page 9
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Showing 2029 open source projects for "no knowledge"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Quint Code
Structured reasoning framework for Claude Code, Gemini, and Cursor
...Instead of accepting the first plausible answer generated by an AI assistant, Quint Code encourages generating multiple competing hypotheses, verifying them, and validating them against real evidence stored in a structured “knowledge base” within your project. It supports a cycle of abduction, deduction, and induction backed by CLI commands (like /q1-hypothesize, /q2-verify, /q3-validate, etc.) that create a persisting audit trail in a .quint/ directory. -
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GraphQL Java
GraphQL Java implementation
GraphQL Java implementation. It requires a little Spring and Java knowledge. GraphQL is a query language to retrieve data from a server. It is an alternative to REST, SOAP or gRPC. One very important property of GraphQL is that it is statically typed: the server knows exactly the shape of every object you can query and any client can actually "introspect" the server and ask for the "schema". The schema describes what queries are possible and what fields you can get back. -
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HelloGitHub
Share interesting, entry-level open source projects on GitHub
...Open source projects in various languages, tools to make life better, books, study notes, tutorials, and more. Through these projects, you will learn more programming knowledge, improve your programming skills, and discover the joy of programming. -
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Prophecy
Highly opinionated mocking framework for PHP 5.3+
...When you start feeling that, you'll become very fluid with this tool. For example, Prophecy has been named that way because it concentrates on describing the future behavior of objects with very limited knowledge about them. But as with any other prophecy, those object prophecies can't create themselves, there should be a Prophet. Prophecy enforces same method prophecies and, as a consequence, same promises and predictions for the same method calls with the same arguments. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Graphify
AI coding assistant skill (Claude Code, Codex, OpenCode, OpenClaw)
...The system likely supports dynamic updates, allowing graphs to evolve as data changes or new inputs are introduced. It is particularly useful in domains such as network analysis, knowledge graphs, and system architecture visualization. The architecture emphasizes flexibility, enabling users to customize how data is mapped and displayed. It may also include analytical features to explore patterns, clusters, or anomalies within the graph. Overall, Graphify serves as a bridge between raw data and visual insight. -
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Metabase
The simplest, fastest way to share business intelligence and analytics
Metabase is the easiest way to let everyone in your company access business data and analytics, learn from it and ask questions. Even if you or your colleagues have no experience in SQL, you can easily summarize and visualize your data, share it and let your team ask questions about it. Metabase creates beautiful graphs and charts, with an easy-to-use dashboard where everyone can create, organize and share exceptionally visualized data. It supports a great number of databases, including... -
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Acorn PM
Built with Holochain, Acorn is an open-source, peer-to-peer pm
Acorn is an alpha‑stage, open‑source, peer‑to‑peer project management tool built using Holochain. It offers a distributed, serverless alternative to Scrum by enabling teams to collaboratively set “Intended Outcomes” within a dependency‑tree framework—ideal for managing decentralized development workflows. -
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Calamares
Distribution-independent installer framework
Calamares aims to be easy, usable, beautiful, pragmatic, inclusive and distribution-agnostic. Calamares is an installer framework. By design, it is very customizable, in order to satisfy a wide variety of needs and use cases. Calamares aims to be easy, usable & beautiful while remaining independent of any particular Linux distribution. The Guide linked above has documentation for end-users, the wiki is mostly for distro developers. The developer’s guide contains information on building... -
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NVIDIA PhysicsNeMo
Open-source deep-learning framework for building and training
NVIDIA PhysicsNeMo is an open-source deep learning framework designed for building artificial intelligence models that incorporate physical laws and scientific knowledge into machine learning workflows. The framework focuses on the emerging field of physics-informed machine learning, where neural networks are used alongside physical equations to model complex scientific systems. PhysicsNeMo provides modular Python components that allow developers to create scalable training and inference pipelines for models that combine data-driven learning with physics-based constraints. ... -
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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Activepieces
Open Source AI Automation
Activepieces is an open-source automation tool designed to build workflows that connect different apps and services without requiring extensive programming knowledge. It’s tailored for technical and non-technical users alike, enabling teams to automate repetitive tasks using a visual editor and a large library of pre-built connectors. Activepieces can be self-hosted or used via a cloud deployment, making it flexible for teams of all sizes. It supports integrations with popular services like Slack, Google Sheets, and Discord, and allows users to create custom pieces to suit unique needs. ... -
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bfxr
Flash + AIR sound effects generator. Based on Sfxr.
...Its purpose is to enable users, especially game developers and sound designers, to quickly generate retro, 8-bit/“chiptune” style sound effects (“bleeps”, “booms”, “zaps”, etc.) without deep knowledge of audio signal processing. It offers an interactive GUI through which you can tweak many parameters (oscillators, envelopes, filters, etc.) to sculpt custom sound effects; you can preview in real time, export, and iterate. The project includes libraries, HTML templates, and both ActionScript and JavaScript code. It has been well-received (over a thousand stars), but as of 2025, it has been superseded by a newer version called bfxr2, which is a JavaScript reworking of the original. -
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OpenCTI
Open Cyber Threat Intelligence Platform
...The platform enables teams to correlate technical indicators such as observables and TTPs with higher-level context like attribution and victimology, creating a unified intelligence knowledge base. 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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RAG API
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL
...It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps. -
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STORM
An LLM-powered knowledge curation system that researches topics
STORM is an open-source virtual assistant framework developed by Stanford's OVAL lab. It is designed for creating natural language interfaces and assistants that can interact with APIs, databases, and services in a modular way. -
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UnrealCV
Connecting Computer Vision to Unreal Engine
...It extends UE with a plugin. UnrealCV can be used in two ways. The first one is using a compiled game binary with UnrealCV embedded. This is as simple as running a game, no knowledge of Unreal Engine is required. The second is installing the UnrealCV plugin into Unreal Engine and using the editor to build a new virtual world. -
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WireGuard Install
WireGuard VPN installer for Linux servers
...It supports multiple clients, generates configuration files, and allows for easy addition or removal of peers. The script is lightweight, portable, and designed to run on popular Linux distributions without requiring advanced system knowledge. By automating the setup process, wireguard-install enables anyone to deploy a secure VPN quickly for personal, organizational, or experimental use cases. It is especially useful for developers, sysadmins, and privacy-conscious users who need a straightforward way to establish encrypted tunnels. -
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Laravel Boost
Laravel-focused MCP server for augmenting AI powered local development
...It ships opinionated, composable guidelines tuned for popular Laravel packages, which helps keep generated code idiomatic and consistent with framework norms. The package also curates a large body of vectorized Laravel ecosystem knowledge that’s scoped to what you’ve actually installed, improving retrieval precision and response quality. It’s designed to fit naturally into existing projects, supporting current Laravel releases and modern PHP runtimes with minimal setup. Rather than trying to replace your editor or framework, Boost acts like an intelligent layer that understands Laravel’s conventions and reduces the “explain my app to the AI” friction. -
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EventCatalog
Open source tool for documenting and exploring event-driven systems
EventCatalog is an open source documentation tool designed for event-driven architectures. It helps teams organize, document, and understand complex systems by mapping events, services, domains, and flows in one place. Instead of scattered knowledge, it creates a central, searchable catalog that improves visibility and collaboration. Documentation is generated and maintained automatically, making it easier to keep systems up to date as they evolve. With built-in discoverability features, developers and stakeholders can quickly explore how services interact and identify dependencies. ... -
19
Nexent
Zero-code platform for building AI agents from natural language input
...Nexent supports multi-agent collaboration, enabling multiple intelligent agents to interact and coordinate tasks within complex workflows. It also includes capabilities for data processing, knowledge tracing, and multimodal interaction, allowing agents to work with different input and output formats. Nexent provides built-in agents for common scenarios such as productivity, travel, and daily assistance. -
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Conversational Health Agents (CHA)
A Personalized LLM-powered Agent Frameworks
...The system enables developers to create personalized AI agents that can interact with users through natural language while performing multi-step reasoning and task execution. It integrates orchestration capabilities that allow the agent to gather information from APIs, knowledge bases, and external services in order to generate more accurate and context-aware responses. The framework supports modular components such as planning, tool execution, and multimodal input processing, which makes it suitable for complex healthcare applications. It also includes a web-based interface for interacting with the agent, making it accessible for testing and deployment in real-world scenarios. -
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Memori
SQL-native memory layer enabling persistent context for AI agents
Memori is an open source SQL-native memory engine designed to add persistent memory capabilities to AI applications, large language models, and multi-agent systems. It provides a memory layer that automatically captures conversations and interactions between users and AI models, allowing systems to retain knowledge across sessions instead of operating statelessly. It extracts structured information such as facts, preferences, rules, and summaries from interactions and stores them in standard SQL databases for later retrieval. By recalling relevant context during future model calls, Memori helps AI agents produce more consistent and context-aware responses while reducing the need to repeatedly provide background information. ... -
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AIGC-Interview-Book
AIGC algorithm engineer interview secrets
AIGC-Interview-Book is a large educational repository designed to help engineers prepare for technical interviews related to artificial intelligence and generative AI roles. The project compiles knowledge from industry practitioners and researchers into a structured reference covering the AI ecosystem. Topics included in the repository span large language models, generative AI systems, traditional deep learning methods, reinforcement learning, computer vision, natural language processing, and machine learning theory. In addition to technical concepts, the repository also contains interview preparation materials such as practice questions, hiring insights, and career advice for AI engineers. ... -
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fess
Open source enterprise search server for websites, files, and data
Fess is an open source enterprise search server designed to provide powerful full-text search capabilities across multiple data sources. It enables organizations to quickly deploy a scalable search environment without requiring deep knowledge of underlying search technologies. Fess is built on top of OpenSearch and offers an integrated solution for crawling, indexing, and searching documents from websites, file systems, and various data stores. Fess includes a built-in crawler that can collect content from sources such as databases, CSV files, and shared storage, making it suitable for centralized knowledge discovery. ... -
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Text-to-LoRA (T2L)
Hypernetworks that adapt LLMs for specific benchmark tasks
...Instead of training a new LoRA adapter for every task or dataset, the system can produce task-specific adaptations based solely on a text description of the desired capability. This approach enables models to rapidly internalize new contextual knowledge without performing traditional fine-tuning steps. The project provides a reference implementation of the Doc-to-LoRA method, which allows language models to quickly encode factual information or contextual constraints into lightweight LoRA modules. Developers and researchers can experiment with how textual task descriptions can generate LoRA weights that modify model behavior in real time. -
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Sage Chat
Chat with any codebase in under two minutes | Fully local
...Developers can ask natural language questions about a project, and the system responds with explanations supported by references to the relevant code, documentation, or external technical resources. The project aims to act as a contextual knowledge layer for software teams by combining language models with repository indexing and documentation retrieval. Sage can operate locally or connect to external AI services, depending on the configuration, providing flexibility for privacy-sensitive environments.
