Search Results for "task" - Page 21
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Showing 1769 open source projects for "task"
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Auto-Deep-Research
Your Fully-Automated Personal AI Assistant
Auto-Deep-Research is a system designed to fully automate deep research workflows using language models, retrieval, planning, and multi-stage reasoning to produce structured research artifacts such as surveys, benchmarks, reports, and even prototypes without heavy human intervention. Users provide a research topic or multifaceted goal, and the system autonomously breaks the objective down into subtasks like literature collection, critical summarization, cross-comparison, citation extraction,... -
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whenwords
A relative time formatting library, with no code
whenwords is a concise, open-source natural language scheduler that helps applications interpret date/time expressions (“tomorrow”, “next Friday at 3”, “in two hours”) in ordinary human language and convert them into precise scheduled events. It combines robust parsing logic with a flexible API so developers can embed scheduling understanding into chatbots, task managers, calendar tools, or productivity apps without building complex date interpreters from scratch. The library handles a wide range of expressions, time zones, and relative references, making it useful across different locales and contexts where users provide unconstrained scheduling input. It also includes utilities to validate, normalize, and format parsed results so applications can reliably present scheduled events and reminders in ways that match user expectations. -
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Python Interview Bible
Curated set of interview notes, Q&A, and code snippets
...Many entries include comparative discussions, such as list vs tuple or threading vs multiprocessing, to cultivate judgment rather than rote memorization. You will also find patterns for writing clean, idiomatic Python and tips for discussing trade-offs during interviews. The tone is practical and task-oriented, helping candidates rehearse under realistic constraints. -
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Magnitude
Vision AI browser agent for automation, testing, and extraction
...Developers can use it to automate repetitive web tasks, integrate services without APIs, or build advanced browser-based agents. It also provides flexible abstraction levels, allowing both high-level task execution and precise low-level control of actions like mouse movements and keyboard input. -
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AWS CDI SDK
AWS Cloud Digital Interface (CDI) SDK
The AWS Cloud Digital Interface (CDI) SDK is the library which implements the low-latency reliable transport of data between systems in the cloud including AWS Media Services and Amazon EC2 instances. The SDK takes care of the complex task of ensuring that large amounts of data are seamlessly transferred across the AWS network using multi-path technology to ensure lossless quality without the need for extensive network buffering and delay. The SDK consists of two main API layers, depending on the desired level of functionality, and a common core layer. The CDI Audio, Video and Metadata (CDI-AVM) layer takes care of transferring multi-stream, modern video signals that contain video, audio and metadata. ... -
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Sol Advisor
Codex-native architect orchestration with Luna and Terra
Sol Advisor is a Codex-native orchestration workflow for software projects that separates architectural reasoning from bounded implementation work. The primary Sol session owns requirements, architecture, specifications, verification, and final acceptance. Its default native workflow delegates implementation to a Terra agent and then requires a fresh Sol review in a separate context. An alternative Luna lane can create user-visible Codex application tasks when the user explicitly authorizes... -
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Cindy
The open-source AI agent that works out of the box
...It runs on the user's own computer and can work with real files, signed-in applications, browsers, computers, and connected phones. Claude Code and Codex are supported harnesses, and users can switch models or harnesses during a task without losing workspace context. Tasks can be planned, executed in parallel, and reviewed by different agent and model combinations. Persistent memory, reusable skills, scheduled automation, MCP integrations, and planned plugins let the system adapt over time. The client includes Electron desktop and Expo-based mobile applications in a shared pnpm monorepo. ... -
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Agent Stuff
These are commands I use with agents, mostly Claude
...The repository includes commands for planning discussions, code review, changelog updates, summarization, browser automation, GitHub work, tmux control, Sentry analysis, Apple Mail search, and Google Workspace access. Its Pi extensions add workflow tools such as session control, file browsing, long-running goals, notifications, enhanced edits, task lists, and prompt-mode switching. Many items are tuned for the author’s own environment, so users should expect to adjust paths and defaults. It is best treated as a practical personal agent toolkit and reference for building reusable AI coding workflows. -
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JoyAI-VL-Interaction
An Open Real-time Video-Language Interaction System
JoyAI-VL-Interaction is an open real-time video-language interaction system built around an 8B-scale vision-first model. It is designed to watch a webcam or livestream continuously and decide whether to speak, stay silent, or delegate a harder task. Unlike turn-based assistants, it focuses on event-driven interaction where timing matters as much as answer quality. The repository releases the model, training recipe, time-aligned interaction data, and deployable system together. Its system includes inference, WebUI, ASR, TTS, and background-agent services running on vLLM-based infrastructure. ... -
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Ralph
Autonomous AI agent loop that runs until all PRD items are complete
Ralph is an autonomous AI coding loop that repeatedly runs agentic development tools until every item in a product requirements document is complete. It is designed to work with Amp or Claude Code, launching a fresh AI instance on each iteration to avoid context overload. Instead of relying on one long conversation, Ralph keeps progress through git history, a structured prd.json file, and an append-only progress.txt memory file. Each run selects the highest-priority unfinished user story,... -
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Kanwas
Shared context board for teams and agents
Kanwas is an open-source shared context board built for teams and AI agents working together in the same workspace. It gives people and agents a common canvas where documents, evidence, decisions, notes, tasks, embeds, and outputs can live side by side. Instead of scattering context across chats, documents, and disconnected tools, Kanwas turns messy collaborative work into a shared visual environment that both humans and agents can read and update. The platform supports real-time... -
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Open Agents
An open source template for building cloud agents
...It focuses on enabling developers to create agents that can collaborate, execute tasks, and interact with tools in a structured environment. The framework provides abstractions for agent communication, task orchestration, and tool integration, allowing multiple agents to work together toward shared objectives. It emphasizes openness and interoperability, making it easier to integrate with different models, APIs, and external systems. The project also includes examples and templates that demonstrate how to build and deploy agents for real-world applications. ... -
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redshirt
Operating system
...Redshirt aims to rethink traditional operating system concepts by leveraging modern programming paradigms such as async/await and capability-based security. It includes components for task scheduling, device interaction, and system services, all implemented in a highly modular fashion. The project is still experimental but serves as a research platform for exploring how WebAssembly can be used as a foundation for operating systems. -
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Rust Port
The Rust workspace under rust/ is the current systems-language port
Rust Port is an open-source reconstruction and experimentation framework derived from leaked or reverse-engineered versions of advanced AI coding agents, designed to replicate and extend the capabilities of agentic development systems. It functions as a programmable coding assistant that operates through autonomous workflows, enabling users to generate, modify, and analyze code with minimal manual intervention. The project emphasizes agent-based execution, where tasks are broken down into... -
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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. Its goal is to demystify agent engineering and help developers move from simple prompt scripts to robust autonomous systems. -
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COCOON
Confidential Compute Open Network, Decentralized AI Inference on TON
COCOON is a privacy-aware desktop client framework designed by the developers of Telegram to provide a modern, secure, and extensible environment for building messaging and communication applications. At its core, it combines native desktop performance with web-like flexibility, packing a renderer, UI components, and plugin architecture that allows developers to craft rich experiences similar to those found in native apps. Cocoon’s architecture prioritizes privacy and security, making it... -
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D4RL
Collection of reference environments, offline reinforcement learning
...It contains standardized environments, tasks and datasets (observations, actions, rewards, terminals) aimed at enabling reproducible research in offline RL. Researchers can load a dataset for a given task (e.g., maze navigation, manipulation) and apply their algorithm without the need to collect fresh transitions, which accelerates experimentation and comparison. The API is based on Gymnasium (via gym.make) and each environment also exposes a method get_dataset() that returns the offline data to learn from. The repository emphasizes open science, reproducibility, and benchmarking at scale, making it easier to compare algorithms on equal footing. -
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Apollo-11
Original Apollo 11 Guidance Computer (AGC) source code
...The code is both a cultural artifact and a technical reference, illustrating how limited memory and processor constraints shaped algorithms and system design. Developers can examine navigation routines, guidance logic, and task scheduling in an environment with no luxury features—everything is explicit and resource-aware. The repository’s structure and documentation make it approachable for modern readers despite the archaic environment. It’s frequently used in education, talks, and explorations of software history to show how a landmark mission depended on disciplined code and verification. -
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Deep Research
Use any LLMs (Large Language Models) for Deep Research
Deep Research is a local-first research agent that orchestrates multiple LLMs to generate in-depth reports in minutes. It combines “thinking” and “task” model roles with live internet access to plan, search, read, and synthesize findings into structured outputs. The project emphasizes privacy: processing and storage happen locally, avoiding server-side retention of your queries and notes. A simple web UI lets you enter topics and configure models, while the backend streams progress as sources are fetched and arguments are weighed. ... -
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HumanEval
Code for the paper "Evaluating Large Language Models Trained on Code"
...It consists of hand-written programming problems with unit tests, designed to assess functional correctness rather than superficial metrics like text similarity. Each task includes a natural language prompt and a function signature, requiring the model to generate an implementation that passes all provided tests. The benchmark has become a standard for evaluating code generation models, including those in the Codex and GPT families. Researchers can use the dataset to run reproducible comparisons across models and track improvements in functional code synthesis. ... -
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CLIP
CLIP, Predict the most relevant text snippet given an image
...It was trained on large sets of (image, caption) pairs using a contrastive objective: images and their matching text are pulled together in embedding space, while mismatches are pushed apart. Once trained, you can give it any text labels and ask it to pick which label best matches a given image—even without explicit training for that classification task. The repository provides code for model architecture, preprocessing transforms, evaluation pipelines, and example inference scripts. Because it generalizes to arbitrary labels via text prompts, CLIP is a powerful tool for tasks that involve interpreting images in terms of descriptive language. -
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Loomio
Make better decisions together
Making important decisions is critical for any business or organization to succeed. However, making wise decisions as a group can be quite the challenge, especially if these decision makers aren't in the same location. Loomio is the solution for such businesses and organizations. It is a collaborative decision-making tool that makes it easy for anyone to participate in decisions, and helps groups make the best decisions together. No need for tedious meetings and endless email chains-- with... -
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Gemini Fullstack LangGraph Quickstart
Get started w/ building Fullstack Agents using Gemini 2.5 & LangGraph
...The repository provides both a browser-based chat interface and a command-line script (cli_research.py) for executing research queries directly. For production deployment, the backend integrates with Redis and PostgreSQL to manage persistent memory, streaming outputs, & background task coordination. -
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mcp-use
A solution to build and deploy MCP agents and applications
...It enables connection to multiple MCP servers, each exposing specific tool capabilities like browsing, file operations, or specialized integrations, through a unified MCPClient. Developers can create custom agents (via MCPAgent) that dynamically select the most appropriate server for each task using configurable pipelines or a built-in server manager. It simplifies authentication, access control, audit logging, observability, sandboxed runtime environments, and deployment workflows, whether self-hosted or managed, making MCP development production-ready. With integrations for popular frameworks like LangChain (Python) and LangChain.js (TypeScript), mcp-use accelerates the creation of tool-enabled AI agents. -
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Gideros
Gideros Release version
...Apart from supporting multiple platforms, Gideros also provides automatic screen scaling and automatic selection of proper image resolution, which makes supporting different screen resolutions, aspect ratios, and universal projects an easy task. You can easily extend the core with plugins. Import your existing (C, C++, Java or Obj-C) code, bind to Lua, and interpret them directly. Dozens of open-source plugins are already developed and ready to use: ads, in-app purchases, physics for 2d or 3d, Steam integration, and many more.
