
Traces MCP lets anyone on the team pull past sessions, decisions, and tool calls as shared memory for agents.
The Hook
“(No spoken dialogue — silent video with ambient visual)”
Problem Agitation
“(No spoken dialogue — silent video with ambient visual)”
Product Reveal
“(No spoken dialogue — silent video with ambient visual)”
Feature Teaser
“(No spoken dialogue — silent video with ambient visual)”
Synthesizable in Remotion · key components of the terminal-knowledge-recall template.
Text appears character by character, simulating typing, with a blinking cursor at the end of the input line.
Use `interpolate` for character visibility based on time, combined with a `spring` animation for the blinking cursor's opacity.
Blocks of text and data rapidly scroll into view from the bottom, mimicking a terminal's output stream.
Employ `interpolate` on the `translateY` property of text containers, with a fast `duration` and `easing` function like `easeOutCubic`.
Specific keywords or data points within the terminal output change color or gain a subtle background highlight as they appear.
Utilize conditional styling based on text content or index, animating `color` or `backgroundColor` properties with `spring` for a soft, quick transition.
Purpose. Introduce the user's problem and the initial interaction with the system.
Execution. Typing animation of a question in a terminal.
Purpose. Showcase the system's intelligence and ability to interpret and initiate a complex search.
Execution. Rapid text generation detailing the search process and tool calls.
Purpose. Demonstrate the product's capability to quickly process and surface relevant information.
Execution. Fast-scrolling output of 'tool results' and a summary of traces found.
Purpose. Deliver the actionable outcome, highlighting the product's value in providing detailed, organized memory.
Execution. Detailed list of individuals and their work, culminating in a summary table.
Objective
A developer wants to quickly understand who worked on a specific 'auth-service' module in the last month and what changes were made.How the recipe adapts
The TerminalTypewriter primitive would show the user typing 'who worked on auth-service module last month? check codeflow'. The FastScrollReveal would then display CodeFlow AI's processing, showing 'Searching Git history for auth-service module...' followed by a rapid stream of commit IDs, author names, and linked pull request titles. DynamicDataHighlight would emphasize author names and key commit messages as they appear, maintaining the efficient, developer-centric aesthetic.Scene durations (4 scenes, 7.5s)
Key Remotion components

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