ultrathink_memory
Persistent memory system for UltraThink — search, save, and recall project context, decisions, and patterns across sessions using Postgres-backed fuzzy search with synonym expansion.
Best use case
ultrathink_memory is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Persistent memory system for UltraThink — search, save, and recall project context, decisions, and patterns across sessions using Postgres-backed fuzzy search with synonym expansion.
Teams using ultrathink_memory should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ultrathink-memory/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ultrathink_memory Compares
| Feature / Agent | ultrathink_memory | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Persistent memory system for UltraThink — search, save, and recall project context, decisions, and patterns across sessions using Postgres-backed fuzzy search with synonym expansion.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# UltraThink Memory
You have access to UltraThink's persistent memory system backed by Neon Postgres.
## Available Tools
Use the `ultrathink-memory` MCP server tools:
### memory-search
Search existing memories by keyword or semantic query.
- Input: `{ "query": "string", "scope": "project|global", "limit": 10 }`
- Returns: Matching memories with content, importance, confidence, and timestamps
### memory-save
Save a new memory for future sessions.
- Input: `{ "content": "string", "importance": 1-10, "confidence": 0-1, "scope": "project|global", "tags": ["string"] }`
- Use importance 7+ for critical decisions, 4-6 for useful context, 1-3 for minor notes
### memory-recall
Recall all memories for the current project scope.
- Input: `{ "scope": "project", "limit": 50 }`
- Returns: All active memories sorted by importance
## When to Use
1. **Start of conversation** — Search memory for relevant project context
2. **After key decisions** — Save architectural choices, trade-off rationale
3. **After debugging** — Save root cause and fix for future reference
4. **User corrections** — Save feedback as high-importance memories
## Rules
1. Read before write — always search before saving to avoid duplicates
2. Be selective — not every interaction needs a memory
3. Include rationale — "we chose X because Y" is more valuable than just "we used X"
4. Tag consistently — use project name, technology, and category tagsRelated Skills
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