agent-shadow-brain vs Graft
agent-shadow-brain: Shadow Brain is the first open-source shared memory and context system for AI coding agents. It allows multiple agents and sub-agents to share a common brain, with features like causal memory chains, dream engine, reputation ledger, and more. It works with 10+ agents and is free and local-first.; Graft: Graft is an open-source context layer designed to accelerate and optimize coding agents like Claude Code, Cursor, and Gemini by providing deep contextual understanding of large codebases. It builds a human-readable code graph and linked markdown nodes, enabling agents to operate faster, cheaper, and with higher correctness by avoiding repeated code exploration.
TL;DR
Eliminate cold starts: every new agent session gets a 2K-token briefing from past knowledge
- You want to generate a readable, interconnected Markdown knowledge graph of your repository so coding agents (Claude Code, Cursor) can grep and explore without expensive re-indexing.
- You want to reduce context token waste by giving agents precise map-like documentation of modules and call paths.
- You need an enterprise graph database with semantic vector embeddings and Cypher queries; code-graph-rag with Neo4j fits that scale.
- You only have a small, single-file script or a trivial repository.
Side-by-Side Comparison
agent-shadow-brainGraftFeatures
agent-shadow-brainGraftUse Cases
agent-shadow-brainGraftBest For
agent-shadow-brainGraftFAQ
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