semble
★ 4.5k
vs
Zengram
★ 40
semble vs Zengram
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.; Zengram: Zengram is a shared memory system for multi-agent AI systems, enabling agents to store and retrieve memories across machines. It features typed memory, dual storage (Qdrant + SQLite/Postgres), multi-path search, and cross-agent capabilities like briefings and corroboration. Self-hosted, open-source, with MCP server and SDKs.
01
TL;DR
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Choose Zengram if…Cross-agent memory sharing across different machines
02
Side-by-Side Comparison
03
Features
semble01Fast 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
Zengram01Typed memory: events, facts, statuses, decisions
02Dual storage with semantic and structured search
03Multi-path search (vector, BM25, entity graph) with RRF fusion
04Cross-agent capabilities: briefings, corroboration, credential scrubbing
05Self-hosted, open-source, with MCP server and SDKs
04
Use Cases
semble↳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
Zengram↳Cross-agent memory sharing across different machines
↳Session reflection and context retrieval for agents
↳Logging memories from automation tools (e.g., n8n) for AI agents
05
Best For
sembleCode AssistantRAG / Knowledge Base
ZengramTrendingMulti-AgentMemory & Context
FAQ
FAQ
What is the difference between semble and Zengram?
Both semble and Zengram are in the RAG / Knowledge Base category. semble has 4.5k stars, while Zengram has 40 stars.
Which is better, semble or Zengram?
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 Zengram if Cross-agent memory sharing across different machines.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is Zengram free or open source?
Yes, Zengram is open source on GitHub (MIT).
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