Reflect
Self-Improving Layer Between Agent's Observability & Action
What it does
Production agent stacks have three components: observability, eval, and action. Your observability stack captures every tool call. Your eval suite judges whether the final output was correct. But the agent that runs tomorrow starts from a blank slate. The eval signal dies in a dashboard. This is the missing RL layer: Reflect sits between your evals and your agent. It treats traces not as passive audit logs, but as a training signal.
Does the same job
all alternatives →
- ASAgent-skills-eval – Test whether Agent Skills improve outputsMay 2026 · github.com · ▲79
Progress AI ObservabilityAug 2026 · telerik.com · ▲168Trace, evaluate, and improve AI agents in production
More work this month
the category →
The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
Mac-native app for screenshots, recordings and collaboration
Work · 5d ago · cleanshot.com
Launched alongside, April 2026
the whole month →
- AG
Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com
- IB
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com
- BC
Life & fun · Apr 2026 · sam-burns.com
- IB
With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app