Awesome Jev

Awesome Jev, a community-maintained System-1 Agent architecture radar curated by @0xLogicrw, is a cutting-edge AI discovery and decision-inspection tool that offers various options tailored for different needs. With models/versions like LangChain, ai-hedge-fund, LiteLLM, and Oh My Pi, this tool provides flexibility and power for users across diverse fields.

Features:

Verified open-source index: Each indexed repository links directly to its source, letting you inspect real integration code and licensing.
Architecture category mapping: 17 categories show exactly where Jev fits inside agent stacks, from model routing to browser automation.
Decision-fit summaries: Clear “Where Jev Fits” notes reveal how each project uses structured choices, scores, and typed decisions.
Popularity and freshness sorting: Star counts, recent updates, and new additions help you spot relevant projects at a glance.
Commercial-friendly filtering: Dedicated filters surface MIT, Apache-2.0, and other permissive options for safer adoption.

Use Cases:

Agent developers comparing SDKs: Quickly see which open-source frameworks already include Jev-style decision providers.
Model routing teams evaluating cost controls: Explore real examples that turn complexity judgments into inspectable routing rules.
Researchers studying System-1 architectures: Use the radar to find practical implementations across coding agents, finance tools, and creative apps.
Open-source maintainers planning integrations: Discover how similar projects normalize typed answers and bounded choices.

With 306 verified repos, 17 architecture categories, and 20 topics, Awesome Jev is a powerful, versatile radar for everyone from AI engineers to product researchers. Its curated project entries and focused filters make it easy to move from quick browsing to deep source review, matching a wide range of decision-architecture needs.