AI & Agent Development setups
Langchain Pack 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
Legacy LangChain integration skill pack with 24 skills covering chains, agents, RAG pipelines, memory, and LLM application development. Deprecated — use langchain-py-pack or langchain-ts-pack.
Tags
saas-packsaillmragagent
- Author
- Jeremy Longshore
- Stars
- 2,143
- Updated
- May 2026
- Source
- GitHub
Install
/plugin marketplace add jeremylongshore/claude-code-plugins-plus-skills && /plugin install langchain-pack@claude-code-plugins-plus-skillsDurable 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
Langchain Pack edges out Lumera Agent Memory for ai & agent development on this site's signals (tag fit, popularity, recency).
- Pick Langchain Pack if your project leans on saas-packs.
- 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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