61,918 results in Hooks, Evals, MCPs, Observability · page 29 of 2,580
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Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL workflows, guardrails middleware, and context summarization.
MCP control plane for Claude Code, Codex, Cursor, and OpenCode. Supports opt-in quota-aware rotation across multiple native Claude Code or Codex subscription accounts of the same harness, with isolated credentials, separate quotas, and bounded task handoffs.
Provides three sequential prompts that guide software development from high-level requirements through EARS format documentation and design specifications to final code generation, supporting a structured waterfall development workflow.
Unifies search and content processing by dynamically selecting optimal providers like Tavily, Brave, and Perplexity to enable flexible information retrieval and enhancement across multiple domains.
Privacy-first SAST tool for Python, TypeScript, and Go that detects dead code, security vulnerabilities, and code quality issues with hybrid AST and optional LLM analysis.
Enables running Claude Skills locally on your Mac with sandboxed execution, supporting document processing and integration with MCP-compatible AI tools while ensuring data privacy.
Enables direct browser control via Chrome DevTools Protocol, supporting navigation, interaction, content extraction, and screenshots through a single MCP tool.
Generates structured documentation for software projects through code analysis, template management, and specialized commands for consistent documentation practices across diverse project types.
Integrates with AFFiNE workspaces through GraphQL and WebSocket connections to enable document operations, real-time collaboration, version control, user management, and blob storage with CRDT-based updates and workspace creation capabilities.
Provides powerful image manipulation capabilities including resizing, cropping, object detection, OCR text extraction, and finding objects based on text descriptions using Python with OpenCV and Ultralytics