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@fingerskier/augment

v0.5.0

Published

Local RAG memory system for coding agents

Readme

augment

Local RAG memory for agentic work. Memories are files story on your system (e.g. you could use a Dropbox directory for persistence). The "retrieval" part is a local index used to find relevant memories when you need them. Plugins for various agent tools so they know how to memorize and remember things.

Quickstart

One package wires Augment into your agent. No clone, no build.

Claude Code:

npx -y @fingerskier/augment install claude --scope user --memory-root "C:\Users\you\Dropbox\augment-memories"

Codex:

npx -y @fingerskier/augment install codex --scope user --memory-root "C:\Users\you\Dropbox\augment-memories"

opencode: add the plugin to ~/.config/opencode/opencode.json or your repo's opencode.json:

{
  "$schema": "https://opencode.ai/config.json",
  "plugin": [
    [
      "@fingerskier/augment",
      {
        "memoryRoot": "C:\\Users\\you\\Dropbox\\augment-memories"
      }
    ]
  ]
}

Both at once:

npx -y @fingerskier/augment install all --scope user --memory-root "C:\Users\you\Dropbox\augment-memories"

Pi CLI:

pi install npm:@fingerskier/augment

Restart the agent and the augment memory tools appear. For opencode, quit and restart after saving config; config and plugins are loaded only at startup. Swap --scope user (your home dir) for --scope repo to install Claude/Codex into the current project. Add --dry-run to preview every file write first. Details: Install Agent Integrations and Pi Package.

CLI Commands

Run any command without a clone via npx -y @fingerskier/augment <command>:

| Command | What it does | | --- | --- | | status | Print the resolved config (memory root, state dir, daemon). Default command; config is an alias. | | dashboard | Start the daemon (if needed) and open the memory graph web UI. --no-open just prints the URL. | | install <codex\|claude\|all> | Wire Augment into an agent. See Quickstart. | | recall "<task>" | Print the memory that would be recalled for a task (what the hooks auto-inject). | | hook <event> | Run a lifecycle hook over stdin JSON. Host-wired by install; you rarely call it directly. | | help | Show full usage (also --help, -h). |

Examples:

npx -y @fingerskier/augment status
npx -y @fingerskier/augment dashboard
npx -y @fingerskier/augment dashboard --no-open
npx -y @fingerskier/augment recall "fix the daemon reconnect bug" --project fingerskier/augment --limit 5

status, dashboard, and recall honor AUGMENT_MEMORY_ROOT / ~/.augment/config.json; dashboard also honors AUGMENT_DAEMON_PORT. Inside this repo use the compiled bin instead — see Run Locally.

Overview

Augment is durable, local, project-aware memory for coding agents. It stores memories as plain markdown files, maintains a rebuildable local index, and serves them over an MCP server backed by a shared local daemon — so several agents can share one memory folder without each running its own watcher/indexer. Your memories stay on disk; nothing leaves the machine.

The point is to close the loop on every coding session:

  1. You prompt. The agent starts a task and searches Augment for relevant prior context.
  2. Memories retrieved. Governing specs, architecture decisions, known issues, and past work surface as direct context — no re-explaining what was already decided.
  3. Work done. The agent implements against that context instead of guessing.
  4. Memories updated. Durable outcomes — requirements (SPEC), decisions (ARCH), bugs (ISSUE), deferred work (TODO), milestones (WORK) — are written back and linked, ready for the next session.

Installed integrations enforce this loop with lifecycle hooks: relevant memory is auto-injected at prompt and tool time, and a Stop hook prompts the end-of-turn write-back — no reliance on the agent remembering.

Over time the memory folder becomes a project's institutional knowledge: queryable by semantic search, browsable as a graph in the dashboard, and portable across machines via relative paths. For example, you could set your memory-root at a Dropbox folder and use them on multiple machines- paths and linkages are relative to that path so the search index is rebuildable and useable on multiple systems at once.

Generic memories live as ordinary files under .generic/<KIND>/<name>.md; decoction_glean discovers recurring evidence and writes an agent-synthesized SPEC or ARCH. The separately approved decoction_cleanup can remove only the originals the user selects. Dream workflows use normal global search — prioritizing the current project while including generic and foreign inspiration — and keep speculative memories or links in editable proposals until the user approves dream_apply.

Feature details live in docs/FEATURES.md. Remaining planned work lives in ROADMAP.md.


Install From Source

For development inside this repo:

npm install
npm run build
npm run check

Configure Memory

For quick local testing, set the memory root with an environment variable:

$env:AUGMENT_MEMORY_ROOT = "C:\Users\you\Dropbox\augment-memories"

Or create ~/.augment/config.json:

{
  "memoryRoot": "C:\\Users\\you\\Dropbox\\augment-memories",
  "stateDir": "C:\\Users\\you\\.augment\\state"
}

Defaults:

  • Memory root: ~/.augment/memories
  • State directory: ~/.augment/state

Also honored: AUGMENT_STATE_DIR (state directory), AUGMENT_DAEMON_PORT (fixed daemon port; the default is dynamic), and AUGMENT_GIT_AUTOCOMMIT (set 0 to disable auto-committing memory writes when the memory root is a git repo; on by default). Full resolution order and defaults: docs/FEATURES.md.

Run Locally

Show all commands and options:

node .\dist\bin\augment.js help

From the published package: npx -y @fingerskier/augment help.

Run diagnostics:

node .\dist\bin\augment.js status

Start the daemon manually:

node .\dist\bin\augment-daemon.js

Normally you do not need to start the daemon yourself. augment-mcp starts or connects to the shared daemon automatically.

Run the MCP server manually:

node .\dist\bin\augment-mcp.js

It will appear idle in a terminal because it speaks MCP over stdio.

Do not use npx @fingerskier/augment from inside this repository. npm resolves the current package first, but a package's own bins are not linked into its local node_modules/.bin, so Windows reports augment as not recognized. Use the compiled node .\dist\bin\... commands above while working in this repo.

From another directory, the published package works:

npx @fingerskier/augment
npm exec --yes --package @fingerskier/augment -- augment status

Local MCP Config

Use the compiled local MCP bin while dogfooding:

{
  "mcpServers": {
    "augment": {
      "command": "node",
      "args": ["C:\\dev\\fingerskier\\agent\\augment\\dist\\bin\\augment-mcp.js"],
      "env": {
        "AUGMENT_MEMORY_ROOT": "C:\\Users\\you\\Dropbox\\augment-memories"
      }
    }
  }
}

Alternative using npm from another working directory:

{
  "mcpServers": {
    "augment": {
      "command": "npm",
      "args": [
        "exec",
        "--prefix",
        "C:\\dev\\fingerskier\\agent\\augment",
        "--",
        "augment-mcp"
      ],
      "env": {
        "AUGMENT_MEMORY_ROOT": "C:\\Users\\you\\Dropbox\\augment-memories"
      }
    }
  }
}

Dogfooding instructions:

Pi Package

Augment ships as a first-class Pi package. Configure the shared memory root first (for example with AUGMENT_MEMORY_ROOT or ~/.augment/config.json; see Configure Memory), then install one of these ways.

Install globally for your Pi user settings (~/.pi/agent/settings.json):

pi install npm:@fingerskier/augment

Install for just the current repository (.pi/settings.json, useful when the team should share the package after trusting the project):

pi install -l npm:@fingerskier/augment

Try it for one Pi run without changing settings:

pi -e npm:@fingerskier/augment

While developing from this checkout, build first and load the local package path:

npm run build
pi -e .

After installing, restart Pi or run /reload. The package manifest loads dist/pi/extension.js and the Pi-specific augment-context, augment-decoction, and augment-dream skills. The extension keeps Claude/Codex behavior unchanged, does not run augment install, and adds namespaced Pi tools so it does not shadow built-ins like read:

  • augment_init_project, augment_list_projects
  • augment_search, augment_project_context, augment_read_memory
  • augment_upsert, augment_link, augment_list_links, augment_unlink
  • augment_decoction_glean, augment_decoction_cleanup
  • augment_sleep_candidates, augment_sleep_propose, augment_sleep_proposals, augment_sleep_apply, augment_sleep_reject
  • augment_dream_propose, augment_dream_proposals, augment_dream_apply, augment_dream_reject
  • augment_memory_insights, augment_memory_graph

Pi slash commands:

  • /augment-context [query] — inject Augment project context into the session.
  • /augment-persist [summary] — ask the agent to persist completed work.
  • /augment-dashboard [--no-open] — open or print the daemon dashboard URL.
  • /augment-sleep — run the supervised sleep proposal workflow.
  • /augment-dream — run the supervised dream proposal workflow.

A quick smoke test after install:

  1. Run /augment-context current project and confirm an Augment context message appears.
  2. Ask Pi to list available tools or inspect the prompt; augment_read_memory should exist and the built-in read tool should still be present.
  3. Run /augment-dashboard --no-open and confirm it prints a localhost dashboard URL.

By default the Pi extension injects task-level memory during before_agent_start and warns after non-trivial turns to persist durable work. Tune with AUGMENT_PI_AUTO_CONTEXT=inject|reminder|off, AUGMENT_PI_AUTO_PERSIST=reminder|followup|off, AUGMENT_PI_CONTEXT_LIMIT, and AUGMENT_PI_CONTEXT_MAX_CHARS. The first recall may take a moment while the daemon starts or the embedding model cache warms; if Augment shows augment: offline, verify AUGMENT_MEMORY_ROOT / AUGMENT_STATE_DIR and run /augment-dashboard --no-open to force a daemon connection.

Install Agent Integrations

Use Augment as an opencode plugin by adding it to opencode config:

{
  "$schema": "https://opencode.ai/config.json",
  "plugin": [
    ["@fingerskier/augment", { "memoryRoot": "C:\\Users\\you\\Dropbox\\augment-memories" }]
  ]
}

The opencode plugin registers the local augment MCP server, injects relevant memory into each user message, and adds Augment workflow guidance to the system prompt. It also honors AUGMENT_MEMORY_ROOT / ~/.augment/config.json; the memoryRoot plugin option is just the config-file equivalent. Restart opencode after changing config.

Install the Codex plugin and marketplace entry:

npm exec --yes --package @fingerskier/augment -- augment install codex --scope user --memory-root "C:\Users\you\Dropbox\augment-memories"

Install the Claude plugin:

npm exec --yes --package @fingerskier/augment -- augment install claude --scope repo --memory-root "C:\Users\you\Dropbox\augment-memories"

install claude does seven things:

  • Scaffolds a real Claude Code plugin at <root>/plugins/augment/ (.claude-plugin/plugin.json, auto-discovered context, sleep, decoction, and dream skills, and a bundled .mcp.json).
  • Writes hooks/hooks.json into the plugin — lifecycle hooks (SessionStart / UserPromptSubmit / PreToolUse / Stop) that auto-inject recalled memory and prompt the end-of-turn memory write-back.
  • Provisions the hook runtime once (npm install into ~/.augment/npm-exec) so hooks run via a direct node command instead of paying an npm bootstrap on every event.
  • Adds a marketplace entry at <root>/.claude-plugin/marketplace.json.
  • Registers the MCP server directly so it is active without the marketplace step: repo scope writes <repo>/.mcp.json; user scope merges into ~/.claude.json (mcpServers.augment), preserving every other key.
  • Best-effort registers the packaged plugin via Claude's own CLI — it runs claude plugin marketplace add <root> then claude plugin install augment@<marketplace> (user scope → --scope user; repo scope → --scope project). If claude is not on PATH it skips this and prints the manual commands instead. Pass --no-plugin to skip it entirely.
  • Upserts the always-on memory-workflow guidance into CLAUDE.md.

<root> is the repo (--scope repo) or your home directory (--scope user). The direct registration is enough on its own — restart Claude Code and the augment tools appear. The plugin registration is what adds the packaged Augment skills to /plugin list. If you skipped it (or claude was not found), run the commands the installer prints, e.g.:

/plugin marketplace add .
/plugin install augment@fingerskier-local

Both the direct registration and the plugin register a server named augment; Claude's scope precedence resolves the duplicate to the higher-precedence one.

Install both:

npm exec --yes --package @fingerskier/augment -- augment install all --scope user --memory-root "C:\Users\you\Dropbox\augment-memories"

Preview writes before changing files:

npm exec --yes --package @fingerskier/augment -- augment install codex --scope user --dry-run

The installer configures MCP commands with an isolated npm --prefix directory under ~/.augment/npm-exec so they work even when launched from this repository. The same directory hosts the provisioned hook runtime; if npm was unavailable at install time, the installer prints the manual npm install --prefix <prefix> @fingerskier/augment command and hooks stay silent no-ops until it is run.

Run these package commands from outside this repository. When developing inside this repo, use node .\dist\bin\augment.js install ... after npm run build.

Dashboard

A local web UI for browsing and editing memories as a graph:

npx -y @fingerskier/augment dashboard

This starts the shared daemon (if needed) and opens the dashboard in your browser. It shows a graph of all projects; click a project to drill into its memory subgraph (nodes colored by kind, edges labeled by link type). You can run an ad hoc semantic search, create/edit/delete memories, and create/delete links — all against the daemon's localhost API.

  • augment dashboard — start the daemon and open the UI.
  • augment dashboard --no-open — just print the URL (honors AUGMENT_DAEMON_PORT).

The daemon binds 127.0.0.1 only and serves the dashboard and its API without auth — anyone who needs to expose it beyond localhost should front it with their own gateway. Developing inside this repo, use node .\dist\bin\augment.js dashboard after npm run build.

Dashboard snippets in chat (MCP Apps)

Hosts that support the MCP Apps extension (SEP-1865: Claude.ai / Claude Desktop, ChatGPT, Goose, VS Code, …) can render augment's dashboard snippets inline in the conversation. When a user asks for memory insights, the agent can call:

  • memory_insights — an interactive stats snippet: memories by kind, links by type, top tags, 12-week activity, and most-connected memories.
  • memory_graph — an interactive Cytoscape view of the project's memory graph.

Both tools degrade to a plain-text summary in hosts without MCP Apps support (the graph's node/edge payload is withheld there so it never burns model context). Older MCP-UI hosts that render embedded ui:// HTML blocks but never negotiate the extension can opt in with AUGMENT_MCP_UI_EMBED=1 in the MCP server's environment.

Package Check

Before publishing:

npm run check
npm pack --dry-run

The package exposes these bins:

  • augment
  • augment-daemon
  • augment-mcp