Roarpeng/GraphFlow

README 摘要

GraphFlow English 中文 The memory & context harness for coding agents. Local-first code knowledge graph · bounded context compression ( 98% token savings) · cross-session learning flywheel. The community is converging on an "agent harness" vocabulary: memory + hooks + skills are the harness primitives that turn a stateless model into a reliable long-running agent. GraphFlow implements all three for coding agents and ships them through a portable MCP surface (Cursor, Claude Code, 15+ agents): Harness primitive GraphFlow implementation Memory 12-language AST code graph + Episodic / Skill / Decision nodes — project knowledge and project experience persist across sessions Hooks Outcome auto-capture (on by default) + Claude Code SessionEnd / Stop hooks close the learning loop automatically — no manual outcome reporting required Skills A four-class flywheel ( proven / correctable / anti-pattern / noise ) with canary validation — skills are promoted by evidence, not by assertion Pure TypeScript/Node. CLI + MCP + VS Code extension. Fully offline, no API key required. Why a harness, not another RAG Most "memory" products are either static injection (load CLAUDE.md / rules files in full on eve…

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