
simplemem-skill
by aiming-lab
SimpleMem: Efficient Lifelong Memory for LLM Agents
SKILL.md
name: simplemem-skill description: Store and retrieve conversation memories across sessions. Use when asked to 'remember this', 'save conversation', 'add to memory', 'what did we discuss about...', 'query memories', or 'import chat history'. Also use proactively to preserve important dialogue context and decisions.
SimpleMem Skill
Persistent conversational memory across sessions.
Proactive Usage
Save memories when discovering valuable dialogue:
- Important decisions or commitments made in conversation
- Complex information that may be referenced later
- Context from long discussions worth preserving
- Solutions to problems that took effort to uncover
Check memories before:
- Answering questions about past conversations
- Resuming work from previous sessions
- Building on earlier discussion topics
Quick Start
# Add a dialogue
python ~/.claude/skills/simplemem-skill/scripts/cli_persistent_memory.py add --speaker "Alice" --content "Meet Bob tomorrow at 2pm"
# Query memories
python ~/.claude/skills/simplemem-skill/scripts/cli_persistent_memory.py query --question "When should Alice meet Bob?"
Operations
Save
Add single dialogue:
python ~/.claude/skills/simplemem-skill/scripts/cli_persistent_memory.py add --speaker "User" --content "Your message here"
With timestamp (ISO 8601):
python ~/.claude/skills/simplemem-skill/scripts/cli_persistent_memory.py add --speaker "Alice" --content "Message" --timestamp "2026-01-17T14:00:00Z"
Query
Semantic query with answer:
python ~/.claude/skills/simplemem-skill/scripts/cli_persistent_memory.py query --question "What did Alice say about meetings?"
With reflection for deeper analysis:
python ~/.claude/skills/simplemem-skill/scripts/cli_persistent_memory.py query --question "Your question" --enable-reflection
Raw retrieval:
python ~/.claude/skills/simplemem-skill/scripts/cli_persistent_memory.py retrieve --query "Alice meetings" --top-k 5
Maintain
View statistics:
python ~/.claude/skills/simplemem-skill/scripts/cli_persistent_memory.py stats
Clear all memories:
# Use with caution - irreversible
python ~/.claude/skills/simplemem-skill/scripts/cli_persistent_memory.py clear --yes
Batch Import
For importing conversation histories from JSONL files, see references/import-guide.md.
Custom Table Names
Use different tables to organize conversation contexts:
python ~/.claude/skills/simplemem-skill/scripts/cli_persistent_memory.py --table-name my_custom_table add --speaker "User" --content "Message"
Data Format
All dialogues are stored with:
speaker: Who said it (string)content: What was said (string)timestamp: When it was said (ISO 8601 datetime, auto-generated if omitted)
Advanced Usage
For detailed information:
- OpenRouter setup and model selection: references/openrouter-guide.md
- JSONL import format and batch operations: references/import-guide.md
- CLI command reference: references/cli-reference.md
- System architecture and configuration: references/architecture.md
Setup
Install dependencies:
cd ~/.claude/skills/simplemem-skill
pip install -r requirements.txt
Configure OpenRouter API:
cp src/config.py.example src/config.py
# Edit src/config.py and set your OPENROUTER_API_KEY
See references/openrouter-guide.md for API key setup and model customization.
Data storage: Memories persist in data/lancedb/ (auto-created).
Score
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