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semble vs memem
semble logo
semble
★ 4.5k
vs
memem logo
memem
★ 34

semble vs memem

semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.; memem: memem is a Claude Code plugin that gives persistent memory across sessions. It automatically extracts durable lessons from completed sessions, stores them as markdown in an Obsidian vault, and surfaces relevant ones as an Active Memory Slice. It is local-first with no cloud services.

01

TL;DR

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

memem logoChoose memem if…

Stop re-explaining your project to every new Claude Code session

02

Side-by-Side Comparison

Field
semble logosemble
memem logomemem
Category
RAG / Knowledge Base
Voice / Speech
Stars
★ 4.5k
★ 34
License
MIT
MIT
Updated
2d ago
2w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
anthropic, claude-code, claude-code-plugin
03

Features

semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
memem logomemem
01Automatic extraction of durable lessons from sessions
02Query-aware context injection (only relevant memories injected)
03Self-evolving memories (merge, update, deprecate automatically)
04Cross-project memory sharing
05Security scanning for prompt injection and credential exfiltration
04

Use Cases

semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
memem logomemem
↳Stop re-explaining your project to every new Claude Code session
↳Maintain a browsable, editable memory base in markdown
↳Cross-project memory with zero vendor lock-in
05

Best For

semble logosemble
Code AssistantRAG / Knowledge Base
memem logomemem
TrendingWorkflow AutomationRAG / Knowledge Base
FAQ

FAQ

What is the difference between semble and memem?
Both semble and memem are in the RAG / Knowledge Base category. semble has 4.5k stars, while memem has 34 stars.
Which is better, semble or memem?
The best choice depends on your use case. Choose semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities, and memem if Stop re-explaining your project to every new Claude Code session.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is memem free or open source?
Yes, memem is open source on GitHub (MIT).
→

Related

Alternatives to semble →Alternatives to memem →semble details →memem details →
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