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semble vs deepseek-pp
semble logo
semble
★ 4.5k
vs
deepseek-pp logo
deepseek-pp
★ 406

semble vs deepseek-pp

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.; deepseek-pp: DeepSeek++ is a browser extension for Chrome, Edge, and Firefox that injects native-style tool calling, an MCP tool system, long-term memory, skill presets, and automated task scheduling into the DeepSeek web interface. It intercepts the SSE response stream in real time to execute tool calls transparently, giving DeepSeek persistent cross-session memory and agent-like automation without API access.

01

TL;DR

semble logoChoose semble if…

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

deepseek-pp logoChoose deepseek-pp if…

Giving DeepSeek persistent memory across conversations without API access

02

Side-by-Side Comparison

Field
semble logosemble
deepseek-pp logodeepseek-pp
Category
RAG / Knowledge Base
Dev Tooling
Stars
★ 4.5k
★ 406
License
MIT
—
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
agentic-ai, ai-memory, automation
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
deepseek-pp logodeepseek-pp
01XML tool protocol injected into prompts for native-style tool calling without API
02Real-time SSE stream interception to execute memory_save/update/delete automatically
03MCP tool system supporting Streamable HTTP, HTTP POST, SSE, and stdio bridge
04Persistent cross-session memory stored locally via IndexedDB
05Skill system with /skill commands for switching expert personas
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
deepseek-pp logodeepseek-pp
↳Giving DeepSeek persistent memory across conversations without API access
↳Connecting DeepSeek web to local MCP tools and external services
↳Automating recurring tasks with scheduled prompts in isolated sessions
05

Best For

semble logosemble
Code AssistantRAG / Knowledge Base
deepseek-pp logodeepseek-pp
—
FAQ

FAQ

What is the difference between semble and deepseek-pp?
Both semble and deepseek-pp are in the RAG / Knowledge Base category. semble has 4.5k stars, while deepseek-pp has 406 stars.
Which is better, semble or deepseek-pp?
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 deepseek-pp if Giving DeepSeek persistent memory across conversations without API access.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is deepseek-pp free or open source?
Yes, deepseek-pp is open source on GitHub.
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Related

Alternatives to semble →Alternatives to deepseek-pp →semble details →deepseek-pp details →
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