ac-memory-manager
Manage persistent memory for autonomous coding. Use when storing/retrieving knowledge, managing Graphiti integration, persisting learnings, or accessing episodic memory.
Best use case
ac-memory-manager is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Manage persistent memory for autonomous coding. Use when storing/retrieving knowledge, managing Graphiti integration, persisting learnings, or accessing episodic memory.
Teams using ac-memory-manager 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/ac-memory-manager/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ac-memory-manager Compares
| Feature / Agent | ac-memory-manager | 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?
Manage persistent memory for autonomous coding. Use when storing/retrieving knowledge, managing Graphiti integration, persisting learnings, or accessing episodic memory.
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
# AC Memory Manager
Manage persistent memory using Graphiti for cross-session knowledge.
## Purpose
Integrates with Graphiti memory system to store and retrieve knowledge, enabling learning across sessions and projects.
## Quick Start
```python
from scripts.memory_manager import MemoryManager
memory = MemoryManager(project_dir)
await memory.store("auth patterns", {"jwt": True, "session": False})
knowledge = await memory.retrieve("authentication")
```
## Memory Types
- **Episodic**: Past events and experiences
- **Semantic**: Facts and knowledge
- **Procedural**: Learned skills and patterns
## Integration
Uses Graphiti + LadybugDB for persistent storage.
## API Reference
See `scripts/memory_manager.py` for full implementation.Related Skills
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