Search Results for "parallel"
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Showing 61 open source projects for "parallel"
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Orca
Orca is the ADE for working with a fleet of parallel agents
...Its focus is parallel agent work, development orchestration, and a more structured workspace for agent-driven coding. Overall, it is built for teams and individual developers who want to coordinate many AI coding sessions from one environment. -
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Emdash
Emdash is the Open-Source Agentic Development Environment
Emdash is an open-source agentic development environment that allows developers to orchestrate multiple AI coding agents in parallel within a unified desktop application. It introduces a new paradigm where coding tasks are delegated to independent AI agents, each operating in its own isolated Git worktree, enabling concurrent development workflows without conflicts. The platform is provider-agnostic, supporting a wide range of CLI-based AI coding tools such as Claude Code, Codex, and others, allowing developers to switch or combine models based on their needs. ... -
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Maestro AI Orchestration
Agent Orchestration Command Center
Maestro is a cross-platform desktop application designed for power users to orchestrate and manage fleets of AI agents and project workflows from a keyboard-centric interface. It provides a high-performance experience for running multiple agent sessions in parallel, integrating with tools such as Claude Code, OpenAI Codex, and other agent tooling to automate tasks, perform unattended execution, and organize long-running work flows. Users can collaborate with AI to draft specifications, break tasks into playbooks, and run them sequentially or concurrently in isolated contexts, each with clean session history. ... -
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LobeHub
Workspace to find, build, and collaborate with AI agents
...LobeHub brings multiple models, tools, and modalities into a single unified environment under the user’s control. With built-in collaboration features, agents can work in parallel, share context, and support complex projects seamlessly. The platform is built around the idea of co-evolution, where both humans and agents continuously learn and improve together. -
Endpoint Management with Remote Control Built InSave 50% on your first year when you switch from your existing RMM to Splashtop AEM. Automate patching, track inventory, and jump directly into 1-click unattended remote sessions without switching tools.
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Prime Agent
A self-improving RLM agent for coding workflows
...Its Recursive Language Model architecture treats context as programmable variables and subagents as callable functions inside a persistent Python environment. Files, shell commands, tools, context operations, and agent coordination are handled programmatically through the same runtime. Built-in subagents can work in parallel or continue tasks independently while returning results to a parent agent. A continual harness stores memories, skills, prompts, and reusable agent specifications that can improve through evidence-backed refinement. Daemon-backed sessions survive terminal disconnections and can be resumed later. Automatic compaction, persistent goals, schedules, heartbeats, and autonomous execution help maintain progress across extended tasks. -
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Zoo Code
Zoo Code gives you a whole dev team of AI agents in your code editor
...It can generate, refactor, debug, document, and explain code while working with the surrounding codebase. Dedicated Code, Architect, Ask, Debug, and Custom modes adapt the assistant to different tasks. Its orchestrator can delegate work, coordinate parallel subtasks, and recover parent or child tasks. Semantic code search helps agents locate relevant code without a separate indexing workflow. The project also supports many model providers, MCP servers, workspace rules, file-access controls, and safeguards against destructive commands. -
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OpenWorkflow
Open-source TypeScript framework for building durable workflows
...The framework supports long-running processes that can sleep for seconds or months, making it suitable for background jobs, automation pipelines, and event-driven systems. OpenWorkflow includes automatic retries with exponential backoff, parallel step execution, and scheduling capabilities, all while using the developer’s existing database instead of requiring dedicated orchestration infrastructure. A built-in dashboard provides visibility into workflow execution and debugging. Overall, it delivers production-ready workflow durability similar to temporal-style systems but with a simpler operational footprint. -
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Agent Orchestrator
Agentic orchestrator for parallel coding agents
Agent Orchestrator from Composio is an open-source orchestration layer designed to manage fleets of parallel AI coding agents working on a shared codebase. It enables each agent to operate independently in isolated git worktrees, handling tasks like fixing CI failures, addressing code review comments, and creating pull requests. The platform automates the coordination of multiple agents, reducing the need for manual oversight in complex development workflows. -
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Piscina
A fast, efficient Node.js Worker Thread Pool implementation
Piscina is a fast, efficient Node.js worker thread pool implementation, designed to perform heavy CPU-bound tasks in parallel, thereby improving application performance. -
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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Paradev
Agentic IDE to orchestrate 100+ coding agents in parallel
...Paradev also supports pull request reviews, automated checks, and GitHub workflows. Available primarily for macOS, with experimental Linux support, it helps developers coordinate parallel AI-assisted development tasks using their existing subscriptions. -
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Freebuff
The free coding agent
Freebuff is a suite of free AI tools for coding, application building, and research across desktop, terminal, browser, cloud, and chat interfaces. Its coding agents can inspect a project, locate relevant files, edit code, run commands, and review their own work. Specialized agents divide tasks such as context gathering, implementation, research, and validation. The desktop app can run multiple agents in isolated local workspaces. Web and cloud editions provide hosted sandboxes, previews,... -
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gnhf
Before I go to bed, I tell my agents: good night, have fun
...Runs can stop on request or when configured limits such as iterations, runtime, or token usage are reached. It supports multiple coding-agent CLIs and ACP targets and can run parallel agents in separate Git worktrees. Each run also produces live terminal status and a final summary with commits, token totals, branch statistics, logs, and review commands. -
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Selenium IDE
Open Source record and playback test automation for the web
...Works out of the box for any web app. Enjoy easier test debugging with rich IDE features like setting breakpoints and pausing on exceptions. Run your tests on any browser/OS combination in parallel using the Command-line Runner for Selenium IDE. Getting started with Selenium IDE requires no additional setup other than installing the extension on your browser. One of our driving philosophies is to provide an easy-to-use tool that will give instant feedback. We believe that the easier we can make it, the more likely people are to author tests, which in turn results in better-tested apps. ... -
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Superset LLM
Run an army of Claude Code, Codex, etc. on your machine
Superset is a development environment and terminal-based platform designed to orchestrate multiple AI coding agents simultaneously within a single workspace. The tool enables developers to run many autonomous coding agents in parallel without the typical overhead of manually managing multiple terminals, repositories, or branches. Each agent task is isolated in its own Git worktree, ensuring that code changes from different agents do not interfere with each other while allowing developers to track their progress independently. The platform includes built-in monitoring capabilities so users can observe the activity of each agent, receive notifications when tasks are completed, and quickly review changes produced by automated coding workflows. ... -
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Andromity
A terminal AI coding agent. Autonomous by choice, gated by trust
...It can analyze a codebase, propose a step-by-step implementation plan, and wait for approval before editing files. Multiple trust levels control whether plans, file changes, and terminal commands require confirmation. Parallel subagents can research, implement, and test different workstreams while maintaining separate session histories. Developers can connect cloud models through their own API keys or run supported local models through Ollama. Built-in diffs, one-click rollback, persistent sessions, cron jobs, MCP tools, and a live execution profiler provide visibility and control over autonomous work. ... -
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Output
TypeScript framework for building AI workflows and agents
...It eliminates reliance on fragmented SaaS tools by providing all necessary components locally, ensuring better transparency and control over data and processes. Output includes built-in evaluation systems, such as LLM-as-a-judge scoring, and integrates workflow orchestration tools like Temporal to handle retries, parallel execution, and state management. It also supports multiple model providers through a unified API. -
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pi-subagents
Pi extension for async subagent delegation with truncation
...Built-in specialists handle tasks such as codebase scouting, external research, planning, implementation, review, context gathering, and second-opinion analysis. Child sessions can run in the foreground with streamed results or continue asynchronously as background jobs. Agents can be composed into sequential chains, parallel groups, reusable workflows, and more durable missions. Custom agent definitions control prompts, models, tools, skills, context inheritance, permissions, timeouts, and output behavior through Markdown frontmatter. The extension also provides observability, fleet management, session sharing, cost inspection, schedules, worktree isolation, and optional runtime permission controls. -
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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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Eigent
The Open Source Cowork Desktop to Unlock Your Exceptional Productivity
Eigent is an open-source cowork desktop application designed to help you build, manage, and deploy a custom AI workforce. It enables multiple specialized AI agents to collaborate in parallel, turning complex workflows into automated, end-to-end tasks. Built on the CAMEL-AI multi-agent framework, Eigent emphasizes productivity, flexibility, and transparent system design. You can run Eigent fully locally for maximum privacy and data control, or choose a cloud-connected experience for quick access. The platform supports a wide range of AI models and integrates powerful tools through the Model Context Protocol (MCP). ... -
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Chat On Steroids
Cross-platform local MCP capabilities for ChatGPT with Chrome
Chat On Steroids is a cross-platform desktop workspace that connects a normal ChatGPT conversation with local development and computer tools. It lets ChatGPT inspect approved files, apply patches, run terminal commands, maintain task plans, and coordinate multiple workers. Long-running tasks can continue while the user sends corrections or changes direction. Worker sessions preserve their own context so delegated jobs can be resumed or reused later. On supported desktop platforms, an... -
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deepsec
Deepsec is a security harness for finding vulnerabilities
...The tool initializes a project-specific security context, scans code in batches, processes findings, and can optionally revalidate results to reduce false positives. For large repositories, it supports parallel work across worker machines and can resume interrupted scans without repeating completed work. It is aimed at serious security reviews where deeper model reasoning may be worth the higher compute and model cost. The project is especially relevant for teams that need to uncover long-standing vulnerabilities hidden inside complex application code. -
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CodeMachine
CLI tool for multi-agent workflows and automated code generation
...It enables developers to transform high-level specifications into production-ready code by managing planning, architecture, implementation, testing, and validation within a unified environment. CodeMachine CLI supports parallel execution through multiple specialized agents, allowing faster development cycles and scalable automation. Built for flexibility, it can handle anything from simple scripts to complex, long-running workflows that span hours or days. CodeMachine also integrates with various AI engines, assigning roles such as planning, coding, and review to different models for efficient collaboration. -
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ChainForge
An open-source visual programming environment
...Instead of relying on isolated prompt experimentation, it introduces a dataflow-based interface that allows users to create complex prompt pipelines and evaluate them across different models, parameters, and datasets simultaneously. The platform enables rapid experimentation by generating permutations of prompts and inputs, making it possible to test hundreds of variations in parallel and analyze performance trends more effectively. It also includes evaluation nodes that allow developers to define scoring functions, enabling automated benchmarking of outputs based on custom criteria such as accuracy, formatting, or relevance. -
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Roo Code
Roo Code gives you a whole dev team of AI agents in your code editor
...It combines a powerful VS Code extension with cloud-based agents that can take on real development tasks across GitHub, Slack, and the web. Designed to work on your terms, Roo Code gives you full control locally while enabling delegation and parallel execution at scale. Its model-agnostic architecture ensures flexibility as AI models and providers evolve, letting you choose or bring your own keys. Role-specific agent modes keep AI focused, reliable, and aligned with real engineering workflows. Open source, secure, and highly configurable, Roo Code fits seamlessly into both individual and team-based development environments. -
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Gajae-Code
Gajae Code MVP
...The workflow is built around clarifying requirements, planning before mutation, turning approved plans into goals, and tracking evidence until completion. It includes tmux-backed execution options for coordinating parallel workers when a task is large enough to benefit from them. Gajae-Code is useful for developers who want coding agents to behave less like single-prompt assistants and more like disciplined project collaborators. Its main value is giving AI coding work a clearer loop for interviews, plans, goals, execution checks, and evidence.
