AI Development / Browser Agents
A detailed technical post about IronBee Express and its browser-agent architecture, showing how Jev is used for fast, low-cost step selection and when an LLM takes over.
The page clearly describes an AI/browser-agent product, explains how it works, and gives concrete performance and cost data. It includes the decision flow, example prompts and outputs, run results, and fallback behavior, which makes it useful for developers evaluating browser automation approaches.
It reads like a technical case study rather than a product landing page, so a visitor still cannot quickly tell what the broader product offers, what platforms it supports, or how to get started beyond the article context.
Last evaluated 10 days ago. Current rank #984. Down 6 spots in the rankings.
Open-source AI agent framework and meta-harness for orchestrating Claude Code, Codex, Cursor, Pi, and custom agents with policies, sandboxing, and cross-device collaboration.
A repository that uses AI agents to translate arcade game machine code into idiomatic JavaScript and validate the result pixel-for-pixel against MAME. The page shows real project status, test methodology, and examples of completed and in-progress ports.
Open-source causal-graph memory for AI agents with MCP support, scoring, active forgetting, and benchmark results published in the repo.
An OpenAI-compatible AI router that sends requests across 12+ providers and 100+ models with automatic fallback and multimodal routing.
