Search Results for "users" - Page 2
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Showing 95 open source projects for "users"
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PentestAgent
AI agent framework for black-box security testing
...It brings a modular and automated approach to penetration testing by orchestrating a suite of tools and scripts that can emulate common exploitation techniques, reconnaissance workflows, and post-exploitation activities across targets. Users configure rules, policies, and environments, and the agent continuously probes for weaknesses, prioritizes findings, and generates contextual reports that help both technical and non-technical stakeholders understand risk exposure. Because it supports a range of plug-ins and external security tools, pentestagent can be adapted for web applications, network infrastructure, API surfaces, and even cloud environments, making it flexible for diverse security programs. -
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A.I.G
Full-stack AI Red Teaming platform
...It brings together AI infrastructure vulnerability scanning, MCP server risk analysis, and jailbreak evaluation into a unified workflow so that enterprises and individuals can identify critical security issues without relying on external services. Users can deploy it via Docker or scripts to get a modern web UI that guides them through tasks like scanning third-party frameworks for known CVEs and experimenting with prompt security against attack vectors. The tool provides both a visual interface and a comprehensive API, making integration with internal security systems or CI/CD pipelines practical for ongoing risk management. -
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SafeClaw
Chat with it via text and voice
SafeClaw is an open-source, entirely local alternative to cloud-based AI assistants like OpenClaw, enabling users to build a personal assistant that runs on their own machine without incurring API usage charges or exposing data to third-party services. It emphasizes privacy and predictability by using traditional programming, rule-based intent parsing, and established machine learning tools rather than large language models, meaning there are no per-token API costs and deterministic behavior. ... -
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Agent Lightning
The absolute trainer to light up AI agents
...Agent-Lightning introduces a lightweight training pipeline that observes agents’ execution traces, converts them into structured data, and feeds them into training algorithms, enabling users to improve agent behaviors systematically. The project emphasizes minimalist integration, so you can drop this into existing systems without extensive rewrites, focusing instead on iterative performance improvement. -
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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Live Agent Studio
Open source AI Agents hosted on the oTTomator Live Agent Studio
...The repository is community focused, with sample agents like tweet generators, smart selectors, research assistants, and multi-tool workflows that show how agents can integrate with tools like n8n or custom Python code. Because it’s tied to the broader Live Agent Studio ecosystem, users can experiment with deploying and using these agents in a hosted environment. -
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Flowly AI
Flowly is 100x faster than OpenClaw
...It acts as a centralized AI system that can perform tasks such as web browsing, file management, command execution, scheduling, and more—all while keeping your data private. Designed for flexibility, Flowly supports multiple AI providers and models through LiteLLM, allowing users to customize how their assistant behaves. It features a multi-agent architecture where different specialized agents can collaborate, delegate tasks, and operate in parallel. Flowly also includes voice capabilities, enabling real-time phone interactions using speech-to-text and text-to-speech systems. Overall, it provides a powerful, extensible, and privacy-focused alternative to cloud-based AI assistants. -
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Omnigent
A meta-harness for all your AI agents
...It also includes policy controls for approvals, tool access, spending limits, sandboxing, and server-wide governance. Omnigent is useful for teams and power users who want multi-agent supervision, safer execution, and flexible access from different devices. -
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Keep Codex Fast
A backup-first Codex skill for keeping local Codex state fast
...It also includes an optional repair path for oversized thread title and preview metadata. Its main value is helping users preserve continuity through handoff documents while reducing local drag in Codex. -
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Hello-Agents
Building an Intelligent Agent from Scratch
...The project focuses on guiding learners beyond superficial framework usage toward deeper comprehension of agent architecture, reasoning loops, and real-world implementation patterns. It walks users through core concepts such as ReAct-style reasoning, tool usage, memory handling, and multi-step task execution, enabling hands-on experimentation with modern LLM-powered agent systems. The repository is structured as a progressive learning path, combining theory, exercises, and runnable code so users can incrementally build more capable agents. ... -
$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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10
Open Interface
Control Any Computer Using LLMs
Open Interface is a cross-platform application that allows users to control their computers using large language models (LLMs). By sending user requests to an LLM backend, it determines the necessary steps and executes them by simulating keyboard and mouse inputs. The system can adjust its actions based on real-time feedback, providing a self-driving computer experience. -
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OpenWorker
AI that gets your everyday tasks done
...It can create documents, spreadsheets, reports, web pages, Slack replies, calendar changes, and inbox organization. The agent breaks requested outcomes into steps and works across local files, the terminal, desktop resources, and connected applications. Users can bring API keys for multiple commercial or open-weight model providers, or run locally through Ollama. More than 25 integrations connect services such as GitHub, Slack, Jira, Notion, Gmail, Outlook, and Google Calendar. OpenWorker requests approval before consequential actions such as sending messages, changing events, or running commands. ... -
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npcpy
The AI toolkit for the AI developer
npcpy is a Python-based agent framework and command-line toolkit (the NPC Shell) for developers to build, test, and integrate AI agents into their workflows, including both command-line and GUI interfaces via NPC Studio. Welcome to npcpy, the core library of the NPC Toolkit that supercharges natural language processing pipelines and agent tooling. npcpy is a flexible framework for building state-of-the-art applications and conducting novel research with LLMs. The structure of npcpy also... -
13
FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
...It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. Built with modularity in mind, FinRobot allows users to plug in custom models — from classical algorithms to deep learning architectures — and orchestrate components in pipelines that can run reproducibly across experiments. The framework also tends to include automation layers for deployment, enabling trained models to operate in live or simulated environments with scheduled re-training and risk controls in place. -
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AI Marketing Skills
Open-source AI marketing skills for Claude Code
...The system is organized into multiple domains such as growth experimentation, sales pipeline generation, content production, outbound marketing, SEO optimization, and financial analysis, effectively covering the entire revenue lifecycle of a business. Each skill functions as an executable capability that can be invoked on demand, enabling users to perform tasks like running A/B tests, generating high-quality content, or analyzing conversion funnels with minimal manual effort. -
15
AG2
Framework for building and orchestrating multi-agent AI systems
...AG2 is intended for developers experimenting with autonomous systems, research prototypes, or production-grade agent pipelines. AG2 emphasizes flexibility, allowing users to integrate different models and customize behaviors depending on their use case. Overall, it serves as a foundation for building scalable and modular AI agent ecosystems. -
16
BambooAI
A Python library powered by Language Models (LLMs)
BambooAI is a Python library powered by large language models (LLMs) for conversational data discovery and analysis, allowing users to interact with data through natural language. -
17
Potpie
Create custom engineering agents for your codebase
Potpie is an AI-powered data analysis tool that automates the exploration and visualization of datasets, assisting users in uncovering insights without extensive coding. -
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FastAgency
The fastest way to bring multi-agent workflows to production
FastAgency is a framework that simplifies the creation and deployment of AI-driven automation agents. It provides a structured environment for developing AI assistants capable of handling various business and technical tasks. -
19
iFixAi
Independent Auditing of AI Agents
...Instead of measuring only latency, token use, or prompt-injection resistance, it examines operational behavior, organizational alignment, and task outcomes. A standard run performs 32 inspections across five evaluation pillars and produces an A-to-F grade. Users can configure and launch audits through a guided CLI, explicit command flags, or an agent plugin and skill. The same engine can test hosted providers or a real agent endpoint and can use self-grading, an independent judge, or a multi-judge ensemble. Results are delivered as JSON, Markdown, and terminal scorecards for review or automation. ... -
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DocuBrowse
This does for Documents what repo-browser does for repos
...It indexes documents such as PDFs, Word files, spreadsheets, presentations, ebooks, HTML, text, and Markdown. The system combines SQLite FTS5 keyword search with local semantic embeddings for meaning-based retrieval. Users can click search results to generate an AI synopsis before opening the original file. It runs entirely on the user’s machine with Ollama models, so it does not require accounts, API keys, internet access, or per-query cloud costs. It also includes PII detection, multiple document directories, tag filtering, duplicate cleanup, and packaged installers for Linux, Windows, and macOS. -
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NVIDIA AI Blueprint
Suite of reference architectures for building GPU-accelerated vision
...It supports workflows such as natural-language video search, visual question answering, long-video summarization, clip retrieval, verified alerts, and incident analysis. It is designed for technical users who need deployable reference architectures for smart spaces, warehouse automation, SOP validation, monitoring, and operational video analytics. The repository includes Python agent code, Docker Compose deployment configurations, skills, scripts, and a Next.js-based UI. -
22
Thoth
Thoth - Personal AI Sovereignty. A local-first AI assistant
...The project may incorporate LLMs, data pipelines, and modular components to handle complex tasks such as reasoning, planning, or knowledge retrieval. Its architecture likely emphasizes extensibility, allowing developers to customize workflows or integrate external tools. Thoth appears to target users interested in building intelligent systems that go beyond simple prompt-response interactions. It reflects a broader trend toward agent-based, reasoning-capable AI systems. -
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ComfyUI-HunyuanVideoWrapper
ComfyUI wrapper nodes for HunyuanVideo
The ComfyUI-HunyuanVideoWrapper project is a ComfyUI extension that integrates Hunyuan-based multimodal video generation models into node-based workflows. It allows users to generate or manipulate video content by combining text prompts with one or more input images, enabling flexible conditioning of outputs. The system introduces specialized nodes such as text-image encoders that allow multiple image inputs to be referenced directly within prompts. This makes it possible to guide generation using both visual and textual context simultaneously. ... -
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MedgeClaw
Open-source AI research assistant for biomedicine
...It integrates a large library of domain-specific skills, enabling it to perform complex analyses in areas such as genomics, drug discovery, and clinical research. The system connects conversational interfaces with computational environments, allowing users to initiate research tasks through messaging platforms while the backend executes analyses using tools like R and Python. It includes a real-time dashboard that displays progress, generated code, and outputs, providing transparency throughout the research process. MedgeClaw also supports reproducibility by generating structured reports and maintaining consistent environments through containerization. ... -
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AutoCVE
Agent-driven automated CVE discovery platform for source code auditing
...It covers the workflow from project selection and repository import to vulnerability verification and submission-ready report generation. An orchestrator coordinates specialized agents for reconnaissance, scanning, triage, deep analysis, verification, and final consolidation. Users can choose enhanced scanning, intelligent auditing, or comprehensive auditing based on speed and depth requirements. The interface records agent trees, tool calls, phase progress, sessions, findings, and supporting evidence for review. Vulnerabilities are deduplicated and stored in a structured management system, while configurable skills extend individual agents. ...
