Browse 355 tools for your AI coding workflow.
A fast Rust tool to serialize text files in a repo for LLM consumption.
Starter template for Claude Code memory system with modular rules, persistent memory, and session handover.
High-performance code graph engine that indexes repos and exposes them via CLI, MCP, and API, cutting token usage up to 50x.
A persistent, unified memory layer for AI coding agents, backed by Markdown and Milvus.
Automatically generates JUnit test suites for Java classes using evolutionary algorithms.
A catalogue of agentbundle primitives for building robust, review-driven AI coding workflows.
An MCP server that enables LLMs to index, search, and analyze code repositories with minimal setup.
An MCP server that lets AI agents connect to and manage Jupyter notebooks in real-time.
AI-powered GitHub automation for issue triage, PR review, labeling, and security scanning.
Zero-latency, zero-setup sandbox for AI agents with least-privilege security.
Enterprise-grade platform for running and managing MCP servers securely in isolated containers.
High-performance MCP server that indexes codebases into a persistent knowledge graph for AI coding agents.
A plugin suite with bundled MCP servers for Claude Code, enabling full delivery lifecycle automation.
Zero-dependency, token-efficient MCP server for querying multiple databases via a single interface.
Persistent file-based planning for AI coding agents, surviving context loss and /clear.
Modular rulebook for AI coding agents on Next.js, Supabase, shadcn/ui, and Zustand.
An MCP server that exposes llms.txt files to IDEs for context-aware development.
Optimize markdown documentation for LLMs and RAG systems, reducing token consumption by 67-95%.
Local-first MCP server that turns any public GitHub, GitLab, or Bitbucket repo into fresh, version-pinned documentation for AI coding assistants.
Up-to-date code documentation for LLMs and AI code editors, eliminating outdated or hallucinated API references.
