Results for “prompt-engineering”

promptfoo

Open-source LLM eval and red teaming: test prompts, compare models, catch jailbreaks and data leaks locally and in CI.

PromptLayer

Collaboration platform for AI teams to manage, test and monitor the prompts that power their LLM applications.

Confident AI

A dashboard that tells you whether your AI feature is actually getting worse or better over time, built on top of a popular open-source testing library instead of asking you to guess from user complaints.

Claude Reflect

A self-learning plugin for Claude Code that captures your corrections and repeated workflow patterns, then syncs them into CLAUDE.md and config files so the agent remembers them across sessions.

CMEM

A memory system for AI coding agents that remembers past decisions, fixes, and dead ends, and can sync that memory across different tools and devices.

SummonAI Kit

A pack of 13 ready-made AI skills that plug into Claude Code, Cursor or Codex so solo founders can also get design, marketing and product work done, not just code.

Parea AI

A dashboard for teams building products on top of ChatGPT-like AI models, so they can test whether a change to their prompt actually made answers better or worse, and watch what the AI is doing once it's live.

Memmy Agent

A free, local-first memory layer that shares your context and preferences across multiple AI coding assistants like Cursor, Claude Code, and Codex, so you stop repeating yourself.

Gate AI

A proxy that sits between your app and the LLM API, blocking prompt-injection attacks and stripping leaked secrets before they reach the model — with an audit trail for every request.

UXUI Principles

A reference library of research-backed UX rules you can paste straight into Claude, Cursor, or V0 as a prompt — so the interface an AI generates for you follows real cognitive-science principles instead of just looking plausible.

Meetless

A governance layer that captures human-approved decisions and injects them into AI coding agent prompts, flagging conflicts before agents act on stale information.

Headroom

Open-source library that compresses tool outputs, logs, and JSON before they reach an LLM, cutting token costs 60-95% without changing the answers.

Context Mode

MCP server that sandboxes AI coding agents' tool output and gives them persistent, searchable memory across sessions, claiming 98% context reduction.

Rauno

Ask several AI chatbots the same question at once and watch them compare notes and correct each other.

Canvas Chat

A branching, canvas-based chat interface for comparing responses across Claude, GPT, Gemini, and other LLMs.

tokensift

An open-source linter that scans your LLM prompts for token waste — like UUIDs, pretty-printed JSON, and repeated text — and estimates the real dollar cost of each finding.

CardGo

Browser extension that stores your personal and work context once in encrypted "cards" and reuses it across every AI chatbot.

TekMyra

Context compression system for LLM pipelines that verifies no protected content is lost and refuses compression when safety cannot be guaranteed. Apache-2.0 open source by LaconIQ.

The Prompting Company

Done-for-you optimization service that helps B2B companies get cited and recommended by AI systems like ChatGPT, Perplexity, Gemini, and Claude.

Lanes

A system enabling multiple Claude Code chats to coordinate asynchronously through shared message files for collaborative agent workflows. Leverages prompt caching to reduce token costs by 90% when reactivating worker agents.