Search Results for "problem a"
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Showing 10 open source projects for "problem a"
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SocratiCode
Enterprise-grade (40m+ LOC) codebase intelligence
SocratiCode is an AI-assisted learning tool that applies the Socratic method to programming education, guiding users through problem-solving rather than directly providing answers. It encourages critical thinking by asking structured questions that lead developers toward discovering solutions on their own. The system is designed to improve understanding of programming concepts through iterative reasoning and dialogue. It can be used to practice coding challenges, debug logic, and explore design decisions in a guided manner. ... -
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Claude Code Best V3
The original Claude Code is runnable and buildable
...It supports plugin-based extensions that enhance its capabilities with specialized commands and workflows. The architecture emphasizes productivity, enabling developers to offload routine tasks and focus on higher-level problem-solving. It also integrates with existing development tools, making it adaptable to different workflows and environments. -
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pua
Your AI has been placed on a PIP. 30 days to show improvement
...The project frames the AI as an underperforming senior engineer under evaluation, introducing a strong motivational and behavioral prompt layer that encourages proactive problem-solving and initiative. Rather than adding new technical capabilities, PUA focuses on shaping how the AI approaches tasks, pushing it toward more assertive, autonomous, and results-driven outputs. It is designed to influence decision-making patterns, encouraging the AI to take ownership of tasks, iterate aggressively, and prioritize delivering meaningful outcomes within constrained timeframes. -
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Open Multi-Agent
One runTeam() call from goal to result
Open Multi-Agent is a flexible framework designed to enable the creation and coordination of multiple AI agents working together to solve complex tasks through collaboration. It focuses on distributing responsibilities across specialized agents, each handling a specific part of a problem, such as planning, execution, or validation. The system emphasizes modularity, allowing developers to define agent roles, communication protocols, and workflows. It supports iterative collaboration, where agents exchange information and refine outputs collectively. The architecture is designed to be extensible, enabling integration with external tools and APIs to expand agent capabilities. ... -
99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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5
Claude Octopus
Put up to 8 AI models on every coding task
Claude Octopus is a multi-model orchestration plugin that enables developers to run multiple AI models simultaneously on a single coding task to reduce blind spots and improve output quality. It allows up to eight different models to analyze the same problem in parallel, surfacing diverse perspectives before finalizing results. The system is particularly useful for detecting inconsistencies, edge cases, and errors that a single model might miss. It integrates directly into coding workflows, making it easy to compare outputs without leaving the development environment. The plugin supports multiple providers and model types, enabling flexible combinations of local and cloud-based models. ... -
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Tutti
Where people and agents build in tune
Tutti is an open-source shared workspace for people working with multiple AI agents. It is built to reduce the copy-paste handoff problem between tools such as Claude Code, Codex, Canvas, and other agent systems. The workspace connects context, files, app outputs, conversations, and running tasks so agents can build on each other’s work. Users can reference previous conversations, files, tasks, and app results directly instead of re-explaining the project state. Tutti also includes an app center for design, images, documents, presentations, and other workflow outputs. ... -
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OSMO
The developer-first platform for scaling complex Physical AI workloads
...It was originally built internally at NVIDIA to support robotics and embodied AI systems, where workflows span multiple stages such as data generation, training, simulation, and hardware testing. The platform addresses what NVIDIA refers to as the “three computer problem” by unifying these stages into a single pipeline defined through simple YAML configurations. It enables users to orchestrate tasks across Kubernetes clusters, automatically managing dependencies, scheduling, and resource allocation without requiring deep infrastructure expertise. -
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Fractals
Fractals is a recursive task orchestrator for agent swarm
...By coordinating these agents through a recursive task decomposition strategy, the system allows large problems to be solved collaboratively by multiple AI processes. The architecture is designed to experiment with large-scale agent coordination and distributed problem solving. -
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OpenSumi
A framework helps you quickly build Cloud or Desktop IDE products
...Customize the UI design in any way you like, no matter to simply configure the built-in UI, or develop a UI template, or build your own UI through plugins. OpenSumi framework aims to solve the redundant building problem of IDE product development within Alibaba, endeavours to fulfill IDE customization capabilities in more vertical scenarios and implement the shared underlying layer of Web and local clients, so that IDE development can move from the early "slash-and-burn" era to the "machine-based mass production" era. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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10
WarriorJS
JavaScript coding game where players program a warrior to win battles
...Each floor of the tower presents a new challenge that requires players to write JavaScript code to instruct the warrior on how to move, fight enemies, rescue captives, and safely reach the stairs to the next level. WarriorJS combines game mechanics with programming concepts, allowing players to experiment with logic, algorithms, and problem solving while progressing through increasingly difficult levels. WarriorJS can be played through a command line interface, enabling developers to interact with the game directly in a terminal environment. It is organized as a modular monorepo containing several packages that implement the core game engine.
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