openai

WakaWiki is a Rust CLI that generates and keeps agent-facing documentation up to date for a codebase. It supports multiple model providers, a zero-LLM scan mode, incremental updates, and AGENTS.md integration, with CI-friendly GitHub Actions usage documented in the README.

Official command-line client for the OpenAI API, with documented installation, environment variables, resource-based commands, file passing, and admin API support.

A vocabulary-driven graph memory library for AI agents, with storage backends, indexing pipelines, and MCP servers for building persistent structured memory into agent workflows.

Intencion is a product analytics and observability platform for AI agents. It tracks user intent, tool calls, run outcomes, and resolution trends, then turns failures or unmet requests into Linear or GitHub issues.

OpenAI’s SDK docs for programmatically controlling local Codex agents, with coverage of setup, core concepts, tools, orchestration, evaluation, and deployment paths.

An open-source CLI for testing LLM prompts across consistency, latency, cost, and behavior, with HTML reports and support for OpenAI and Anthropic.

A macOS voice layer for AI workflows that turns speech into text, prompts, rewrites, read-aloud actions, and chat. It supports Gemini, optional OpenAI and xAI integrations, and offline Whisper dictation without an account.

Python package for recording real LLM API responses and replaying them in tests so LLM-driven code can run deterministically without live API calls.

An AI-powered pipeline that turns diarized podcasts or interviews into YouTube-ready videos with semantic B-roll, burned-in subtitles, optional TTS voice replacement, and YouTube publishing.

A macOS companion overlay for Claude Code that shows an animated pet/sprite based on Claude Code activity. It includes a CLI, hook integration, a daemon, and a web-based atlas validator/renderer for Codex-pet-compatible pets.

Traicer is a developer tool that captures selected AI coding conversations, redacts secrets, encrypts traces, and stores them in seller-controlled S3-compatible storage for later marketplace use.

TypeScript middleware that trims or compresses LLM chat history to fit a token budget, with support for OpenAI, Anthropic, and AI SDK integrations.

Self-hosted AI observability for tracking LLM requests, costs, latency, prompt traces, reasoning tokens, and PII masking across many model providers.

A tutorial and live demo showing how to build an AI SQL analyst agent that inspects schema, writes queries, runs them, and explains results using Node.js, OpenAI, Vercel AI SDK, and SQLite.

OpenAI’s ChatGPT desktop app docs page for using the app with projects, files, and long-running work, with broader developer documentation around Codex, agents, tools, and related workflows.

Python library for managing LLM conversation history with cache-friendly message ordering, dynamic context, and compaction.

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

Minimal Erlang library for calling OpenAI and Anthropic models, with tool-use support and a built-in JSON encoder/decoder.

A curated learning roadmap for building production AI agents, covering OpenAI, Anthropic, MCP, harnesses, evals, memory, and safety. The README organizes the material into phases with exercises and a prioritized reading table.

A GitHub research project that measures how gpt-4.1 responds when asked to pick a random number between 1 and 100, using 10,000 API calls and comparing the results to a uniform baseline.