Knownbase vs Retrace

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

Record, replay, fork & share AI agent executions. See every LLM call, tool call, and error your agent makes, then debug in seconds. Free for 1,000 traces/mo.

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.

About Retrace

Record, replay, fork & share AI agent executions. See every LLM call, tool call, and error your agent makes, then debug in seconds. Free for 1,000 traces/mo. Retrace records every model and tool call your agent makes, so you can re-run a failure, branch from the exact step it went wrong, and check your fix before you ship. This is the reliability loop Retrace owns, end to end. Now a production failure becomes a permanent regression test you can re-run.