AI Agents for a Frontend / Full-stack — Page 2
OrcaReplay
Time travel for AI coding agents: record, replay offline, and fork any run from any checkpoint onto different models — byte-for-byte, to find out exactly why it failed.
Agent Skills Standard
Sync on-demand engineering standards and SDLC workflows across AI coding environments.
Chat On Steroids
Connect ChatGPT to local projects, terminals, and durable multi-worker development workflows.
zer0dex Local Memory
Give long-running agents inspectable, cross-session recall through a Markdown index and local semantic retrieval.
Portable Handoff
Carry verified project context across AI sessions, models, and coding agents.
OSS Autopilot
An AI workflow engine for open source contributors: track PRs, act on maintainer feedback, diagnose CI failures, and discover matched issues to keep contribution velocity up.
AgentDescent
Evolve prompts, skills, and agent implementations in parallel by merging evidence-backed diffs.
JS Reverse MCP
Continuous browser-side JavaScript debugging and evidence capture for AI coding assistants.
Apache Maka
A local-first agent workspace that performs project work while preserving recoverable execution records.
FableCodex
Adds evidence-backed goals, review findings, and completion gates to Codex workflows where missed steps are costly.
Happier
Control, review, and ship work from multiple coding agents across all your devices.
Runner Multi-Agent Terminal
Coordinate multiple coding agents on one mission while each keeps its native terminal interface.
Kungfu
Keep one body of work moving across agents, sessions, and failures.
NotebookLM Python Automation
Automate Gemini Notebook research, generation, and exports through Python, CLI, or coding agents.
ADK Agent Recipes
Start ADK agent projects from small, runnable reference implementations.
Pilotfish Multi-Model Orchestration
Frontier models plan, cheaper models execute, and fresh-context verification guards quality — a one-prompt-install orchestration policy for Claude Code.
Vibe Check MCP
A second-model mentor that interrupts tunnel vision before an AI agent commits to a risky or overengineered plan.
Jev Review
Continuous, structured software-quality scoring for AI coding agents.
InPlan Interactive Planning Editor
Turn an ambiguous coding request into a reviewable Markdown plan before implementation begins.
Osaurus
A native Mac harness for persistent, tool-using AI agents that can run with local or cloud models.
git-lrc Commit-Time Code Review
Automatically review Git diffs and surface risks before each commit lands.
DESIGN.md Specification
Give coding agents a persistent design-system brief built from exact tokens and human-readable rationale.
Stately Agent
State-machine-powered LLM agents with XState: the machine owns control flow, the model only picks legal events, so invalid agent actions are impossible by construction.
Itqan Engineering
Run a disciplined software lifecycle with human approval gates, test-first implementation, and evidence-backed completion.