An AI vs Knownbase

Capture real user feedback with screenshots, DOM, and console context your coding agent can act on.

Stop re-explaining your codebase to AI. Knownbase gives Claude Code, Codex and MCP agents persistent project memory that survives every session.

About An AI

Capture real user feedback with screenshots, DOM, and console context your coding agent can act on. No feedback Shipped work waits here until it is released. A screenshot, DOM snapshot, and console log are auto-captured in the background. The Skill gives your agent the workflow; MCP and the CLI provide feedback data and status actions. Then run /makethisbetter pick to inspect the original evidence, claim the feedback, and start the fix (right) . The widget lets them report the problem on the spot, and your agent takes over.

About Knownbase

Stop re-explaining your codebase to AI. Knownbase gives Claude Code, Codex and MCP agents persistent project memory that survives every session. Knownbase gives your AI coding agents persistent, searchable project knowledge, so architecture decisions, debugging discoveries, conventions and lessons survive across sessions and tools. Works with Claude Code, Codex, Cursor, ChatGPT and any MCP-compatible agent. They're storage failures: the agent learned something real and had nowhere durable to put it. Compaction loses the discoveries The context gets compacted mid-task and the hard-won finding from two hours ago is summarized down to nothing.