AgentIndex icon
AgentIndex
SearchEmbedSDK logo
SearchEmbedSDK
★ 22
vs
distillery logo
distillery
★ 25

SearchEmbedSDK vs distillery

SearchEmbedSDK: ContextCore indexes local files including text, code, images, audio, and video, and provides a CLI, backend server, and MCP integration for AI tools. It reduces token usage by 50-99% by sending only relevant context. Supports Python 3.10+ on Windows, macOS, and Linux.; distillery: Distillery is a team knowledge base accessed through Claude Code skills. It captures, classifies, connects, and surfaces team knowledge using natural language commands. It stores knowledge as vector embeddings in DuckDB, running locally or as a hosted service.

01

TL;DR

SearchEmbedSDK logo
SearchEmbedSDKRAG / Knowledge Base · ★ 22

Enhancing Claude or other AI models with local file context

Read SearchEmbedSDK full review →
distillery logo
distilleryRAG / Knowledge Base · ★ 25

Capture and retrieve team knowledge during development

Read distillery full review →
02

Side-by-Side Comparison

Field
SearchEmbedSDK logoSearchEmbedSDK
distillery logodistillery
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 22
★ 25
License
AGPL-3.0
NOASSERTION
Install Command
python -m pip install contextcore==0.1.0
claude plugin marketplace add norrietaylor/distillery && claude plugin install distillery
Updated
3mo ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
claude-tools, clip, cost-optimization
claude-code, duckdb, embeddings
03

Features

SearchEmbedSDK logoSearchEmbedSDK
01Local indexing for text, code, images, audio, and video
02CLI commands for indexing, status, and server management
03MCP server for integration with Claude Desktop and other AI tools
04Token reduction and context optimization
05Automatic registration with AI tools via CLI
distillery logodistillery
01/distill - Capture session knowledge with dedup detection
02/recall - Semantic search with provenance
03/pour - Multi-entry synthesis with citations
04/bookmark - Store URLs with auto-generated summaries
05/digest - Team activity summary from internal entries
04

Use Cases

SearchEmbedSDK logoSearchEmbedSDK
↳Enhancing Claude or other AI models with local file context
↳Reducing API costs by filtering irrelevant context before sending
↳Codebase context for reasoning over project structure and dependencies
distillery logodistillery
↳Capture and retrieve team knowledge during development
↳Record meeting minutes with append updates
↳Track technical decisions and architectural context
FAQ

FAQ

What is the difference between SearchEmbedSDK and distillery?
Both SearchEmbedSDK and distillery are in the RAG / Knowledge Base category. SearchEmbedSDK has 22 stars, while distillery has 25 stars.
Which is better, SearchEmbedSDK or distillery?
The best choice depends on your use case. Choose SearchEmbedSDK if Enhancing Claude or other AI models with local file context, and distillery if Capture and retrieve team knowledge during development.
Is SearchEmbedSDK free or open source?
Yes, SearchEmbedSDK is open source on GitHub (AGPL-3.0).
Is distillery free or open source?
Yes, distillery is open source on GitHub (NOASSERTION).
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Related

Alternatives to SearchEmbedSDK →Alternatives to distillery →SearchEmbedSDK details →distillery details →