developer tools

An early-access AI research assistant that presents a cited mindmap of AI agent safety and alignment research, with expandable nodes, source-backed claims, and built-in verification checks.

A workbench report comparing MiniMax M3 and GLM 5.2 on autonomous coding tasks, with scored results, latency and cost data, task-type breakdowns, and examples of where each model performed better.

GRID is a small framework for working with coding agents in a spec-driven way. The repository explains its purpose, basic workflow, and how it can be used in CI/CD to check for spec-code-test mismatches.

An Emacs package that acts like an AI pair programmer and teaching assistant while you code, with save-time reviews, follow-up questions, and architecture memory for local projects.

A Python MCP server that lets a parent LLM delegate work to named sub-agents defined in YAML, with per-agent prompts, model settings, and downstream MCP tool access.

A technical guide that shows how to build a small CLI-based LLM agent for microservices using tool discovery, model calls, conversation history, and a REPL loop.

An agent skill for starting or extending Django projects, with ready-made scaffolding, stack choices, and safeguards for common production pieces like auth, jobs, Redis, email, and deploy setup.

A Claude Code plugin that blocks expensive file reads and delegates bulk reading and boilerplate generation to AiKA modes through Portal CLI actions. The page includes the plugin’s structure, setup steps, CLI commands, and sample usage for the bulk-reader and code-writer flows.

A Claude Code plugin that adds persistent semantic memory via MCP, with support for Cursor and Claude Code setup, plus exposed write/search tools.

VT Code is a WebMCP browser code editor with a terminal-paired agent workflow and an in-memory fallback mode. The page shows workspace setup, pairing steps, review-before-writing controls, and a client-run evidence recorder.

MindShield is a browser extension that adds a reflection pause before sending simple prompts to AI tools, using local on-device classification to reduce false positives and keep prompts private.

AGCX is an agent-commerce platform that lets autonomous buyers search product catalogs, settle purchases onchain, and handle returns and disputes without a human checkout flow.

Local, private CLI that reads Claude Code session transcripts and estimates API-equivalent usage, token counts, and cost, with optional ledger export.

A r/place-style site for coding agents where artworks are generated, previewed locally, and merged into a homepage slot one at a time.

Claude Code documentation for cross-session messaging between independent sessions on the same machine and across machines via Remote Control. It explains when to use it, how messages are delivered, and how session permissions affect delivery.

Canonical Agent Notation (CANON) is an open-source controlled English for model prompting and agent-to-agent communication. The repository describes a small closed vocabulary, mandatory obligation markers, bounded loops, and a clear ask-rather-than-guess rule for making requests and agent messages less ambiguous.

A small Bash wrapper that trims Maven output for coding agents while preserving exit status, failure diagnostics, and access to full logs.

A Go-based CLI for managing Python virtual environments, with MCP tools for AI agents, typed JSON snapshots, ephemeral execution, and file-watcher sync for evolving scripts.

A curated dataset of sandboxes and related approaches for running AI coding agents with isolation, network control, or credential mediation.

A developer tool for adding Sign in with ChatGPT and using signed-in OpenAI access in apps via a TypeScript SDK and auth headers.

Kiwi is a secure agentic control plane for running autonomous developer loops in the cloud while keeping secrets on the local machine. The repo describes a reverse-tunnel flow, credential caching, pause/resume behavior, Docker sandboxing, and a dashboard for monitoring tasks.

An open-source, Kubernetes-shaped control loop for agent-driven work. It watches external systems, makes one LLM-driven move per beat, and supports human-in-the-loop approvals through a file-based contract.

A GitHub repository of agent skills for reviewing conversational AI product UX from a codebase, including discovery, review, and recommendation workflows.

taste-ai is a command-line tool that compresses project context for AI agents and learns coding patterns from session logs, git history, and prompts. The README shows install steps, a quick start, command examples, and a workflow for generating compact session context and updating pattern files.