Tag· 14 posts
Tag· 14 posts
How can Agents turn execution results into reusable experience? Drawing on official implementations from Claude Code, Codex, and OpenClaw, I explore an experience-building system that supports evaluation and rollback, from reflection and validation to persistent memory, dynamic retrieval, and background curation.
An Agent's plan is more than a to-do list. I explore how Plan-and-Execute, feedback and replanning, multi-path search, SOPs, and state machines work, along with their engineering trade-offs, execution state, idempotency, permissions, and evaluation.

No ads, typed by hand, and a bit messy. I'm browsing the code and writing things down as I go. To avoid anything that co…
The same Agent can sometimes complete a task accurately, yet at other times miss requirements, invent details, or produc…
When an Agent tool call fails, you cannot just add “retry three times on failure” to its instructions. Retrying a lookup…
Multiple remote MCP servers can be combined into a single connection through a Cloudflare MCP portal. Clients only need…
When a user clicks an AI Agent’s “Stop” button and the interface stops displaying text, has the task really stopped? If…

If you've tried running large language models locally, you've probably hit the same wall: you find a model you like, dow…

A desktop email client that speaks JMAP directly, combining mail, calendars, contacts, and file storage in one app. MCP lets Claude/Codex read your mailbox directly, with AI translation and summarization built in. Open source, licensed under AGPL-3.0.
Originally published at: https://www.sunai.net/t/1407 This article was written with assistance from claude opus 4.8 Quit…