
remembering-conversations
You MUST invoke this skill before saying "I don't know," guessing, or treating any topic as new, no matter how trivial the question seems. It supplements other memory systems, which only hold partial records. Searching past conversations is the only way to recover what was actually said.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/obra/episodic-memory --skill remembering-conversations- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads remembering-conversations automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Remembering Conversations
Core principle: Search before reinventing. Searching costs nothing; reinventing or repeating mistakes costs everything.
Mandatory: Search Historical Memory
YOU MUST search historical memory for any historical search.
Announce: "Searching past conversations for [topic]."
Claude Code
Use the Task tool with subagent_type: "search-conversations":
Task tool:
description: "Search past conversations for [topic]"
prompt: "Search for [specific query or topic]. Focus on [what you're looking for - e.g., decisions, patterns, gotchas, code examples]."
subagent_type: "search-conversations"
Codex
If a search-conversations agent is available, dispatch it with the same prompt. If not, use the MCP tools directly:
- Search with the episodic-memory
searchtool - Read the top 2-5 results with the episodic-memory
readtool - Synthesize findings in your response
- Include source pointers so the user can inspect the original conversations
The search workflow will:
- Search with the
searchtool - Read top 2-5 results with the
readtool - Synthesize findings (200-1000 words)
- Return actionable insights + sources
Saves 50-100x context vs. loading raw conversations.
opencode
Use the MCP tools directly unless a local search agent is available:
- Search with the episodic-memory
searchtool - Read the top 2-5 results with the episodic-memory
readtool - Synthesize findings in your response
- Include source pointers so the user can inspect the original conversations
When to Use
Use this whenever the current task would benefit from information you may have learned before, even if the user did not explicitly ask you to search.
When past experience may help:
- You need to recall decisions, rationale, patterns, solutions, pitfalls, or project context from earlier work
- A task resembles something you've solved, debugged, reviewed, released, or planned before
- You need to repeat a workflow or process that may have prior gotchas or established steps
When you're stuck:
- You've investigated a problem and can't find the solution
- Facing a complex problem without obvious solution in current code
- Need to follow an unfamiliar workflow or process
When historical signals are present:
- User says "last time", "before", "we discussed", "you implemented"
- User asks "why did we...", "what was the reason..."
- User says "do you remember...", "what do we know about..."
Before answering from uncertainty:
- Before guessing from memory or saying "I don't know" about something that may have been learned in a past conversation, search memory unless the current conversation already answers it
Don't search first:
- For current codebase structure (use Grep/Read to explore first)
- For info in current conversation
- Before understanding what you're being asked to do
Direct MCP Tool Access
Use these directly when a search agent is unavailable or the current harness does not support agent dispatch:
mcp__plugin_episodic-memory_episodic-memory__searchmcp__plugin_episodic-memory_episodic-memory__read
When using MCP tools directly, keep context small: search first, then read only the top 2-5 relevant conversations or line ranges.
See MCP-TOOLS.md for complete API reference if needed for advanced usage.
FAQ
What does the remembering-conversations skill do?
You MUST invoke this skill before saying "I don't know," guessing, or treating any topic as new, no matter how trivial the question seems. It supplements other memory systems, which only hold partial records. Searching past conversations is the only way to recover what was actually said.
How do I install remembering-conversations?
Run npx skills add https://github.com/obra/episodic-memory --skill remembering-conversations in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/remembering-conversations/ (personal) or .claude/skills/remembering-conversations/ (project).
Which AI agents can use remembering-conversations?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is remembering-conversations safe to install?
Security partners have reviewed it: Gen Agent Trust Hub flagged items to review; Socket passed; Snyk passed; Runlayer passed; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains remembering-conversations?
It is published by obra in obra/episodic-memory. It has 9,206 recorded installs.
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