agent-skill-memories-off
★ 38
vs
semble
★ 4.5k
agent-skill-memories-off vs semble
agent-skill-memories-off: memories-off provides a minimalist, structured local knowledge management solution that endows agents with long-term memory. It uses standardized Markdown entities and Git-driven workflows to maintain an auditable, rollbackable knowledge base. The project is designed for personal or small project use, with a focus on portability, readability, and flexibility.; 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.
01
TL;DR
Choose agent-skill-memories-off if…Personal knowledge management: extract key points from documents and conversations, build a personal knowledge graph
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
02
Side-by-Side Comparison
03
Features
agent-skill-memories-off01Lightweight and local-first, no dependency on cloud services
02Structured knowledge via LLM-extracted entities, relations, and observations
03Flexible search by entity name, type, or observation keywords
04Human-readable data with simple backup functionality
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
04
Use Cases
agent-skill-memories-off↳Personal knowledge management: extract key points from documents and conversations, build a personal knowledge graph
↳Personalized content generation: leverage the knowledge graph to generate style-consistent communications or documents
↳Project knowledge base: small teams can use it to accumulate project-level knowledge and optimize agent services
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
05
Best For
agent-skill-memories-offTrendingMemory & ContextDev Tooling
sembleCode AssistantRAG / Knowledge Base
FAQ
FAQ
What is the difference between agent-skill-memories-off and semble?
Both agent-skill-memories-off and semble are in the Memory & Context category. agent-skill-memories-off has 38 stars, while semble has 4.5k stars.
Which is better, agent-skill-memories-off or semble?
The best choice depends on your use case. Choose agent-skill-memories-off if Personal knowledge management: extract key points from documents and conversations, build a personal knowledge graph, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is agent-skill-memories-off free or open source?
Yes, agent-skill-memories-off is open source on GitHub (Apache-2.0).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
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