AI & Agent Development setups
Llm Application Dev vs Lumera Agent Memory for AI & Agent Development
Comparing two Claude Code plugins for ai & agent development. Below: side-by-side facts, then a verdict you can disagree with.
Side by side
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.4
Tags
ai-mlaillmragagent
- Author
- Seth Hobson
- Stars
- 35,061
- Updated
- May 2026
- Source
- GitHub
Install
/plugin marketplace add wshobson/agents && /plugin install llm-application-dev@agentsDurable agent memory with Cascade object storage, client-side encryption, and local full-text search index. Persists agent context across sessions.
Tags
mcpragagent
- Author
- Intent Solutions IO
- Stars
- 2,143
- Updated
- May 2026
- Source
- GitHub
Install
/plugin marketplace add jeremylongshore/claude-code-plugins-plus-skills && /plugin install lumera-agent-memory@claude-code-plugins-plus-skillsVerdict
Llm Application Dev edges out Lumera Agent Memory for ai & agent development on this site's signals (tag fit, popularity, recency).
- Pick Llm Application Dev if your project leans on ai-ml.
- Pick Lumera Agent Memory if you need stronger mcp support.
Auto-generated from tag fit, popularity, recency, and featured status. Not a hand review.
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