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# devflow
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**The 6-layer AI dev environment that gives your coding agents persistent memory, isolated worktrees, automated code review, and full observability — from a single `devflow init`.**
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**The 5-layer AI dev environment that gives your coding agents persistent memory, isolated worktrees, automated code review, and full observability — from a single `devflow init`.**
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## What Makes It Different
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-**Memory that persists across sessions** — Hindsight's 3-tier memory (mental models, observations, facts) means your agent recalls past decisions, patterns, and mistakes without you repeating them. 29 MCP tools for recall, retain, and reflect.
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-**One command, six layers** — `devflow init` installs tools, configures MCP servers, registers hooks, sets up skills, and seeds memory. No manual wiring. Idempotent — safe to re-run.
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-**One command, five layers** — `devflow init` installs tools, configures MCP servers, registers hooks, sets up skills, and seeds memory. No manual wiring. Idempotent — safe to re-run.
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-**Zero build dependencies** — Pure Bash CLI. No Node, Python, or Go build step. Works with what's already on your macOS dev machine.
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-**Agent-agnostic** — Works with Claude Code, OpenCode, or any tool that reads CLAUDE.md and speaks MCP. Skills and hooks adapt to your CLI.
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-**Local-first, privacy-first** — Memory, code review, and observability all run on your machine. Langfuse is self-hosted. No data leaves your laptop.
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## Architecture
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devflow orchestrates 6 independent layers. Each tool works standalone; devflow wires them together.
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devflow orchestrates 5 independent layers. Each tool works standalone; devflow wires them together.
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| Layer | Tool | What It Does | Runtime |
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|:-----:|------|-------------|---------|
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| 1 |[**Hindsight**](https://github.com/vectorize-io/hindsight)| 3-tier persistent memory via MCP (mental models, observations, facts) | Local daemon (`uvx`) |
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| 2 |[**Agent Deck**](https://github.com/asheshgoplani/agent-deck)| TUI session wrapper with Conductor auto-monitoring, web dashboard | Homebrew |
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