Search historical AI conversations across Claude Code, Codex, and Pi using Trellis CLI.
npx skills add https://github.com/mindfold-ai/marketplace --skill mem-recall
Please help me install this Agent Skill. Skill: mem-recall Source: https://github.com/mindfold-ai/marketplace/tree/main/skills/mem-recall Command: npx skills add https://github.com/mindfold-ai/marketplace --skill mem-recall
This skill solves the fragmentation of AI-assisted work by providing a unified search and retrieval interface for historical conversations across Claude Code, Codex, and Pi, ensuring you never lose track of design decisions or brainstorming sessions.
Use the mem-recall skill to find what we discussed about the memory architecture in the Trellis project last week.
High-intent search queries and answers about installing and using this skill.
To search past AI conversations across Claude Code, Codex, and Pi, use this skill to query local session storage. It filters historical dialogue by keywords, project context, and task phases to recover specific design rationale.
Cross-platform recall recovers design decisions by parsing local session logs from multiple platforms. It isolates brainstorming phases from implementation noise to retrieve the specific context and trade-offs behind past choices.
Yes, you need the Trellis CLI to search local AI session logs. The CLI parses the stored session data and provides the structured, context-aware output required for the AI to consume the historical information.
You can retrieve specific turns of conversation with surrounding context from AI history. This contextual drill-down isolates exact dialogue exchanges to help you understand the reasoning behind previous decisions.
The best way to find old brainstorming discussions is using the brainstorming slicing feature. It separates creative discussion phases from implementation noise in local logs to quickly recover rejected alternatives and design trade-offs.
You filter historical AI dialogue by project context and task phases using the structured search parameters. This allows you to target specific cross-project recall queries and retrieve highly relevant conversation snippets.
tincopperRetrieve past AI conversations from local Trellis session logs.
MrlykCollect design context and persist it in the AI configuration.
aresbitRun Codex CLI, Claude Code, OpenCode, or Pi Coding Agent as background PTY processes.
rupertsworldSearch workspace artifacts and present dated excerpts from past context.
