15 boosters for "parallel" — AI-graded, open source, ready to install
The Best AI Agent Harness - Batteries-Included OpenCode Plugin with Multi-Model Orchestration, Parallel Background Agents, and Crafted LSP/AST Tools
TinyClaw enables developers to run multiple specialized AI agents simultaneously with isolated workspaces and independent configurations, allowing for task-specific agent teams that can be routed via simple @agent_id syntax. This is valuable for projects requiring diverse AI capabilities (coding, writing, analysis) working in parallel without state interference.
Concurrent Sub-Agents is an agentic terminal application that enables multi-agent workflows by automatically executing independent sub-agent tool calls in parallel, reducing latency without requiring explicit concurrency logic from the LLM. Developers building complex AI agent systems on Claude will benefit from faster, more efficient agent coordination.
Multi-perspective feedback on writing (parallel execution)
Enables AI agents to parallelize independent development tasks using git worktrees, splitting work across multiple concurrent tracks while maintaining context continuity. Ideal for teams coordinating multiple Claude Code sessions on non-overlapping features.
Parallel Search MCP enables AI agents to perform concurrent web searches efficiently through a standardized MCP server interface. Developers building agentic applications in Claude Desktop, Claude Code, and Cursor benefit from faster, parallelized search capabilities.
An MCP server for deep research or task groups
Par5 MCP is a parallel execution server that enables running shell commands and AI agents across lists concurrently, ideal for developers automating batch operations and scaling workflows in Claude and other AI environments.
Real-time chatroom for Claude Code parallel agents
claude-ultrathink enforces single-task linear processing to prevent parallel execution and ensure focused sequential task completion. Developers using claude_code benefit by maintaining task discipline and reducing context-switching overhead.
A governance skill that automates code review and standards enforcement through delegated agent execution, delivering 70-90% token savings for engineering teams managing code quality at scale.
Helps developers plan and set up Git worktrees for parallel task execution by generating organized branch and worktree paths based on AGENTS.md conventions. Useful for teams managing multiple concurrent development efforts.
A specialized agent that intelligently researches, validates, and categorizes knowledge sources for AI systems, determining optimal storage methods (URL references, local extracts, or embeddings) using parallel web scraping. Ideal for developers building knowledge-intensive agent systems who need automated source curation and validation.
A knowledge curation agent that researches, validates, and determines optimal storage methods (URL reference, local excerpt, or embedding) for information sources using parallel web scraping. Ideal for AI engineers building knowledge-intensive agent systems who need intelligent source evaluation and integration.
Smith is a feedback validation agent that uses parallel research sub-agents to rigorously critique code feedback and plans, ideal for teams needing systematic validation of technical reviews.
