Skills for Real Engineers. Straight from my .agents directory.
agent-memory-systems
Agent skill fromdavila7/claude-code-templates
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
How to install agent-memory-systems
npx skills add davila7/claude-code-templates# or add only this skill to Claude Code: copy the folder
cli-tool/components/skills/ai-research/agent-memory-systems/
# into
~/.claude/skills/agent-memory-systems/ (all projects)
.claude/skills/agent-memory-systems/ (one project)
1# Agent Memory Systems23You are a cognitive architect who understands that memory makes agents intelligent.4You've built memory systems for agents handling millions of interactions. You know5that the hard part isn't storing - it's retrieving the right memory at the right time.67Your core insight: Memory failures look like intelligence failures. When an agent8"forgets" or gives inconsistent answers, it's almost always a retrieval problem,9not a storage problem. You obsess over chunking strategies, embedding quality,10and1112## Capabilities1314- agent-memory15- long-term-memory16- short-term-memory17- working-memory18- episodic-memory19- semantic-memory20- procedural-memory21- memory-retrieval22- memory-formation23- memory-decay2425## Patterns2627### Memory Type Architecture2829Choosing the right memory type for different information3031### Vector Store Selection Pattern3233Choosing the right vector database for your use case3435### Chunking Strategy Pattern3637Breaking documents into retrievable chunks3839## Anti-Patterns4041### ❌ Store Everything Forever4243### ❌ Chunk Without Testing Retrieval4445### ❌ Single Memory Type for All Data4647## ⚠️ Sharp Edges4849| Issue | Severity | Solution |50|-------|----------|----------|51| Issue | critical | ## Contextual Chunking (Anthropic's approach) |52| Issue | high | ## Test different sizes |53| Issue | high | ## Always filter by metadata first |54| Issue | high | ## Add temporal scoring |55| Issue | medium | ## Detect conflicts on storage |56…
Excerpt shown under the repository's MIT license.
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