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semble vs mcp-memory-keeper
semble logo
semble
★ 4.5k
vs
mcp-memory-keeper logo
mcp-memory-keeper
★ 124

semble vs mcp-memory-keeper

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.; mcp-memory-keeper: MCP Memory Keeper is an MCP server that provides persistent context management for Claude AI coding assistants, preventing context loss during compaction. It offers features like session management, context saving/retrieval, checkpoints, search, and git integration. The server works across macOS, Linux, and Windows and can be installed via npx.

01

TL;DR

semble logoChoose semble if…

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

mcp-memory-keeper logoChoose mcp-memory-keeper if…

Long coding sessions with Claude Code

02

Side-by-Side Comparison

Field
semble logosemble
mcp-memory-keeper logomcp-memory-keeper
Category
RAG / Knowledge Base
Memory & Context
Stars
★ 4.5k
★ 124
License
MIT
MIT
Updated
2d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
ai-assistant, claude-ai, claude-code
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
mcp-memory-keeper logomcp-memory-keeper
01Persistent context management across sessions
02Session management with branching and merging
03Checkpoint system for context snapshots
04Full-text search across all saved context
05Git integration for automatic context tracking
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
mcp-memory-keeper logomcp-memory-keeper
↳Long coding sessions with Claude Code
↳Complex projects requiring context preservation
↳Multi-session context sharing across team members
05

Best For

semble logosemble
Code AssistantRAG / Knowledge Base
mcp-memory-keeper logomcp-memory-keeper
TrendingCode AssistantMemory & Context
FAQ

FAQ

What is the difference between semble and mcp-memory-keeper?
Both semble and mcp-memory-keeper are in the RAG / Knowledge Base category. semble has 4.5k stars, while mcp-memory-keeper has 124 stars.
Which is better, semble or mcp-memory-keeper?
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 mcp-memory-keeper if Long coding sessions with Claude Code.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is mcp-memory-keeper free or open source?
Yes, mcp-memory-keeper is open source on GitHub (MIT).
→

Related

Alternatives to semble →Alternatives to mcp-memory-keeper →semble details →mcp-memory-keeper details →
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