kungfu vs Graft
kungfu: Kungfu keeps a unit of Work outside any single agent session, recording its objective, progress, evidence, next action and completion state, so the same Work can move between Codex, Claude, OpenCode, Amp or your own agent without re-explaining context. Each Agent attempt is recorded under the Work, a second live writer is blocked, and an Agent cannot approve its own result: completion goes through independent review. It is in Alpha.; 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
Switching between a premium and a cheaper coding agent on the same task
- 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
kungfuGraftFeatures
kungfuGraftUse Cases
kungfuGraftBest For
kungfuGraftFAQ
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