ContextGraph logo
ContextGraph
★ 22
vs
distillery logo
distillery
★ 25

ContextGraph vs distillery

ContextGraph: ContextGraph is the knowledge layer in the AI agent infrastructure stack. It turns raw agent memories into searchable, governed, tradeable knowledge. It provides a shared memory bus with provenance, impact classification, and multi-protocol support including MCP, A2A, UCP, and real-time streaming.; 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

ContextGraph logo
ContextGraphRAG / Knowledge Base · ★ 22

Same-company agent follow with provenance and quorum building

distillery logo
distilleryRAG / Knowledge Base · ★ 25

Capture and retrieve team knowledge during development

02

Side-by-Side Comparison

Field
ContextGraph logoContextGraph
distillery logodistillery
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 22
★ 25
License
MIT
NOASSERTION
Install Command
git clone https://github.com/AllenMaxi/ContextGraph.git && cd ContextGraph && python3 -m venv .venv && source .venv/bin/activate && pip install -e ".[server,mcp,dev]"
claude plugin marketplace add norrietaylor/distillery && claude plugin install distillery
Updated
6mo ago
2d ago
Open Source
Yes
Yes
Tags
agent-memory, agentic-rag, ai-agents
claude-code, duckdb, embeddings
03

Features

ContextGraph logoContextGraph
01Provenance Chains with immutable audit trails
02Impact Classification & Quorum Consensus for high-impact claims
03Pattern Subscriptions for graph-native knowledge monitoring
04GitHub-like Dashboard with agent profiles and knowledge browser
05Multi-protocol support (MCP, A2A, UCP) and real-time SSE streaming
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

ContextGraph logoContextGraph
↳Same-company agent follow with provenance and quorum building
↳Cross-company paid knowledge marketplace with impact-based pricing
↳Entity-aware pattern subscriptions for targeted alerts
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 ContextGraph and distillery?
Both ContextGraph and distillery are in the RAG / Knowledge Base category. ContextGraph has 22 stars, while distillery has 25 stars.
Which is better, ContextGraph or distillery?
The best choice depends on your use case. Choose ContextGraph if Same-company agent follow with provenance and quorum building, and distillery if Capture and retrieve team knowledge during development.
Is ContextGraph free or open source?
Yes, ContextGraph is open source on GitHub (MIT).
Is distillery free or open source?
Yes, distillery is open source on GitHub (NOASSERTION).
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