Search Results for "autonomous"
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Showing 68 open source projects for "autonomous"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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nature-skills
Skill that conforms to the academic expression and scientific research
nature-skills is an open-source collection of AI agent skills and structured workflows designed to enhance autonomous reasoning and tool usage in AI assistants. The project organizes reusable “skills” that agents can invoke for different operational contexts, helping AI systems perform specialized tasks more consistently and effectively. It appears to focus on modularity and interoperability, allowing skills to be combined, extended, or integrated into broader agent ecosystems. ... -
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GPT All Star
AI-powered code generation tool for scratch development of web apps
AI-powered code generation tool for scratch development of web applications with a team collaboration of autonomous AI agents. This is a research project, and its primary value is to explore the possibility of autonomous AI agents. -
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OpenShell
OpenShell is the safe, private runtime for autonomous AI agents.
OpenShell is an open-source runtime designed to safely run autonomous AI agents in isolated environments. Developed by NVIDIA, it provides sandboxed execution spaces that protect system resources, credentials, and data from unauthorized access. Each agent runs inside a containerized sandbox governed by declarative YAML security policies that control network access, file permissions, and process behavior. -
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NeuroSploit
NeuroSploit is an advanced, AI-powered penetration testing framework
NeuroSploit is a Rust-based autonomous penetration-testing framework that coordinates multiple AI models for authorized security assessments. It accepts targets such as URLs, source repositories, applications, hosts, and infrastructure environments. The system performs reconnaissance, selects specialized agents for the discovered attack surface, and runs applicable assessments in parallel. -
One Monitoring Tool for IT, OT and Cloud | Free TrialModern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
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The Unicity Whitepaper
High-level overview of Unicity, the Autonomous Agentic Internet
The Unicity Whitepaper repository contains the source and published overview of Unicity, a protocol proposed for an Autonomous Agentic Internet. It explains the network’s motivation, system model, token economics, and major architectural components. The broader design treats the blockchain as a trust anchor while moving application execution off-chain for scalability and privacy. The paper map connects this overview to separate technical documents covering consensus, data availability, aggregation shards, zero-knowledge consistency, execution privacy, predicates, and atomic swaps. ... -
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zeroshot CLI
Your autonomous engineering team in a CLI. Point Zeroshot at an issue
zeroshot CLI is an autonomous engineering agent orchestration CLI that lets developers point it at a software task or issue and have it plan, implement, validate, and iterate on code changes without direct manual intervention. It orchestrates a multi-agent workflow where separate roles such as planner, implementer, and independent validators collaborate in isolated environments, looping until the code meets acceptance criteria or produces reproducible failures. -
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NFH Self-Improvement Loop
Minimal adversarial framework for AI agent self-modification
...The framework encourages structured reflection and optimization, ensuring that each iteration builds upon previous results. It is particularly useful for experimenting with autonomous improvement processes in AI workflows. Overall, it provides a practical model for implementing continuous optimization in AI-driven systems. -
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Kiro Crew
A persistent workspace for development work that self-improves
Kiro Crew is an open-source persistent development workspace that keeps AI-assisted work running beyond a single chat session. It can operate locally, in Docker, or on a remote machine controlled by the user. Sessions, memory, schedules, checkpoints, and learned preferences survive restarts and can influence later work. Long-running tasks can plan steps, execute them, validate results, retry failures, and resume from saved checkpoints. The system supports subagents, reusable skills, MCP... -
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ByteRover CLI
The portable memory layer for autonomous coding agents
ByteRover CLI is a portable memory layer for autonomous coding agents. It gives developers a way to store, organize, and reuse project knowledge across coding tools and sessions. The project centers on a context tree that can capture important information about a codebase, decisions, patterns, and instructions. It can run as an interactive command-line experience and connect to an LLM of the user’s choice. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Stakpak
Ship your code, on autopilot. An open source agent
Stakpak is an open-source autonomous DevOps agent designed to run continuously on a machine, managing infrastructure, deployments, and operational tasks with minimal human intervention. It acts as a persistent system-level assistant that monitors applications, executes DevOps workflows, and only alerts humans when necessary, effectively automating routine operational responsibilities. -
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Intel RealSense
Intel® RealSense SDK
Intel® RealSense™ SDK 2.0 is a cross-platform library for Intel® RealSense™ depth cameras. The SDK allows depth and color streaming and provides intrinsic and extrinsic calibration information. The library also offers synthetic streams (point cloud, depth aligned to color and vise-versa), and built-in support for recording and playback of streaming sessions. Intel has EOLed the LiDAR, Facial Authentication, and Tracking product lines. These products have been discontinued and will no longer... -
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Amazon ECS Container Agent
Amazon Elastic Container Service Agent
...Optimize your time with AWS Fargate serverless compute for containers, which eliminates the need to configure and manage control plane, nodes, and instances. Save up to 50 percent on compute costs with autonomous provisioning, auto-scaling, and pay-as-you-go pricing. Integrate seamlessly with AWS management and governance solutions, standardized for compliance with virtually every regulatory agency around the globe. Amazon ECS is a fully managed container orchestration service that makes it easy for you to deploy, manage, and scale containerized applications. ... -
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InkOS
Autonomous novel writing CLI AI Agent
InkOS is a multi-agent creative writing system designed to automate the production of long-form narrative content such as novels through coordinated AI workflows. The system organizes multiple specialized agents that collaborate in stages, including drafting, reviewing, editing, and refining text, with optional human checkpoints to ensure quality and coherence. Its architecture reflects a pipeline approach where each agent contributes a specific function, allowing iterative improvement... -
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Agents.jl
Agent-based modeling framework in Julia
Agents.jl is a pure Julia framework for agent-based modeling (ABM): a computational simulation methodology where autonomous agents react to their environment (including other agents) given a predefined set of rules. The simplicity of Agents.jl is due to the intuitive space-agnostic modeling approach we have implemented: agent actions are specified using generically named functions (such as "move agent" or "find nearby agents") that do not depend on the actual space the agents exist in, nor on the properties of the agents themselves. ... -
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Bit
A tool for component-driven application development
...Join the world's best teams on the enterprise component cloud. Say goodbye to monolithic web apps, and hello to component-driven apps composed of independent components built by autonomous teams working side by side. Develop independent components with decoupled codebases, versions, and build pipelines. Enjoy a dev experience like in a single project. Compose components via dependencies and create infinite new features and applications while easily controlling each component's version. -
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Seata
An easy-to-use, high-performance distributed transaction solution
Seata, or Simple Extensible Autonomous Transaction Architecture is an open source distributed transaction solution that brings high performance and easy-to-use distributed transaction services under a microservices architecture. It has 3 basic components: a Transaction Coordinator for maintaining the status of global and branch transactions; a Transaction Manager that defines the scope of global transaction; and a Resource Manager that manages resources being worked on by branch transactions, and drives branch transaction commit or rollback. ... -
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gitcrawl
Local-first GitHub issue and pull request crawler
...The project focuses on automating repository inspection and enabling structured access to source code, commit history, and metadata for research, automation, or AI-assisted workflows. Its architecture likely emphasizes efficient crawling, local indexing, and integration with other OpenClaw tooling for autonomous analysis and retrieval. By converting distributed repository data into searchable structured information, gitcrawl supports workflows involving code intelligence, archival analysis, and large-scale software exploration. The system appears intended for developers, AI agents, and researchers working with extensive collections of repositories. ... -
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imsg
CLI for Apple's Messages.app so your agent can send and receive text
...Its architecture relies on AppleScript or RPC-style communication layers to expose iMessage interactions programmatically while maintaining compatibility with local macOS environments. imsg became an important component for integrating iMessage into autonomous assistant systems, enabling conversational AI workflows directly through Apple’s messaging platform. The project emphasizes local-first communication and direct integration with Apple infrastructure rather than relying on cloud relays. While newer approaches such as BlueBubbles integrations are emerging, imsg remains a foundational utility for local iMessage automation and AI messaging workflows. -
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RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
RuVector is part of the broader rUv ecosystem of AI engineering tools and focuses on enabling advanced vector-based processing and intelligent system development within agentic and AI-driven pipelines. The project fits into a larger vision of modular, composable AI infrastructure designed to support autonomous agents, data retrieval, and intelligent automation workflows. It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations into search, reasoning, or generative systems. The repository reflects a research-forward approach that blends practical utilities with experimental agentic concepts, encouraging exploration of emerging AI design patterns. ... -
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bu-agent-sdk
An agent is just a for-loop
The bu-agent-sdk from the Browser Use project is a minimalistic Python framework that defines an AI agent as a simple loop of tool calls, aiming to keep abstractions low so developers can build autonomous agents without unnecessary complexity. At its core, the agent loop repeatedly queries a large language model, interprets its output, and executes defined “tools” — functions annotated with task names — to perform actions, allowing the agent to complete tasks like arithmetic, decision-making, or domain-specific work. The SDK emphasizes simplicity and control, avoiding heavy orchestration frameworks and instead letting developers specify exactly what tools an agent can employ and how it should signal task completion. ... -
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Goose Developer Agent
Goose is a developer agent that operates from your command line
...Goose can interact with a multitude of tools via external APIs such as Jira, GitHub, Slack, infrastructure and data pipelines, and more -- if your task uses a shell command or can be carried out by a Python script, Goose can do it for you too! Like semi-autonomous driving, Goose handles the heavy lifting, allowing you to focus on other priorities. Simply set it on a task and return later to find it completed, boosting your productivity with less manual effort. -
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ESP8266Audio
Arduino library to play MOD, WAV, FLAC, MIDI, RTTTL, MP3
Arduino library for parsing and decoding MOD, WAV, MP3, FLAC, MIDI, AAC, and RTTL files and playing them on an I2S DAC or even using a software-simulated delta-sigma DAC with dynamic 32x-128x oversampling. ESP8266 is fully supported and most mature, but ESP32 is also mostly there with built-in DAC as well as external ones. For real-time, autonomous speech synthesis, check out ESP8266SAM, a library that uses this one and a port of an ancient format-based synthesis program to allow your ESP8266 to talk with low memory and no network required. All this code is released under the GPL, and all of it is to be used at your own risk. If you find any bugs, please let me know via the GitHub issue tracker or drop me an email. ... -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
...TensorRT is built on CUDA®, NVIDIA’s parallel programming model, and enables you to optimize inference leveraging libraries, development tools, and technologies in CUDA-X™ for artificial intelligence, autonomous machines, high-performance computing, and graphics. With new NVIDIA Ampere Architecture GPUs, TensorRT also leverages sparse tensor cores providing an additional performance boost. -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
Trellis is an advanced workflow and agent orchestration framework designed for building, managing, and scaling intelligent applications that coordinate numerous autonomous components. At its core, Trellis lets developers define units of work — called tasks or agents — and compose them into rich workflows that can operate with concurrency, conditional logic, and dynamic branching, all without sacrificing readability or control. It emphasizes modular design, encouraging users to encapsulate logic into reusable pieces that can be tested, versioned, and reused across projects. ... -
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Playwriter
Chrome extension to let agents control your browser
Playwriter is an open-source project that combines a Chrome extension with a CLI to allow autonomous agents to control a web browser directly using Playwright code in a stateful sandbox environment. The system enables browser automation by running Playwright commands through a persistent session managed by a background extension, allowing agents or scripts to navigate, interact with, and query browser contexts without losing state between commands.
