
@ghostpaw/questlog

Agent tasks as quests that finish only with a written outcome.
npm install @ghostpaw/questlog
A unified task and calendar model for Node.js, built on SQLite.
Questlog treats tasks, events, deadlines, recurring commitments, and loose intake as one coherent data model instead of separate systems. It ships as a single prebundled blob with zero runtime dependencies, designed for two audiences at once: human developers working directly in code, and LLM agents operating through a structured tool facade.
MCP server
Every client below starts the same stdio server: npx -y @ghostpaw/questlog mcp.
Data lives in ~/.ghostpaw/questlog.db unless the GHOSTPAW_QUESTLOG_DB
environment variable (absolute path) or --db <path> says otherwise.
Claude Code
claude mcp add ghostpaw-questlog -- npx -y @ghostpaw/questlog mcp
or as a plugin, which also installs the skill:
/plugin marketplace add GhostPawJS/questlog
/plugin install ghostpaw-questlog@ghostpaw-questlog
Codex CLI (~/.codex/config.toml)
[mcp_servers.ghostpaw-questlog]
command = "npx"
args = ["-y", "@ghostpaw/questlog", "mcp"]
Cursor (.cursor/mcp.json), Claude Desktop (claude_desktop_config.json)
or a project .mcp.json:
{
"mcpServers": {
"ghostpaw-questlog": {
"command": "npx",
"args": ["-y", "@ghostpaw/questlog", "mcp"]
}
}
}
Claude Desktop users can also install server.mcpb from the
latest GitHub release.
A Dockerfile is included for container hosts:
docker build -t ghostpaw-questlog . && docker run -i --rm -v questlog:/data ghostpaw-questlog.
The server speaks MCP 2026-07-28 (stateless, server/discover) and the
initialize-based revisions 2025-11-25, 2025-06-18, 2025-03-26 and 2024-11-05.
CLI
Install globally for the ghostpaw-questlog binary: npm i -g @ghostpaw/questlog.
ghostpaw-questlog add --title "Review release notes" --tag release --due 2030-01-02
ghostpaw-questlog list --limit 10
ghostpaw-questlog search release notes --limit 5
ghostpaw-questlog show 1
ghostpaw-questlog done 1 --outcome "Reviewed changes"
ghostpaw-questlog list --view quests.resolved --json
add accepts repeated --tag flags, --objective (defaults to the title),
--questline <id>, and --due as an ISO date or milliseconds since epoch.
list defaults to available quests; list --help lists all supported views.
Its --limit caps text output; JSON preserves the full review tool result.
search --limit caps matches in both formats. show inspects a quest id.
done stores --outcome with the finished quest; without it the command asks for one and exits 3.
Plain commands print short text by default. Use --json for the full tool result
and --compact for compact JSON. --db path works before or after the command.
Each command accepts --help. Exit codes are 0 for success, 1 for invalid input
or a tool error, 2 for usage errors, and 3 when clarification is needed.
The call command and the per-tool form still reach every tool and parameter:
ghostpaw-questlog tools
ghostpaw-questlog call capture_rumor '{"title":"Review release notes"}'
ghostpaw-questlog search_questlog --query "release notes"
ghostpaw-questlog mcp starts the stdio server.
Agent Skill
SKILL.md (repo root) and skills/questlog/SKILL.md follow the
Agent Skills format and ship in the npm package.
Copy skills/questlog/ into your agent's skills folder, or print it:
npx -y @ghostpaw/questlog skill > SKILL.md
Install
The npm package requires Node 24+:
npm install -g @ghostpaw/questlog
npx -y @ghostpaw/questlog --help
As a library dependency: npm install @ghostpaw/questlog. It uses the built-in
node:sqlite module, so there are no runtime dependencies.
Standalone binaries are available from GitHub Releases
for linux-x64, linux-arm64, darwin-arm64, darwin-x64 and windows-x64.
curl -fsSL https://raw.githubusercontent.com/GhostPawJS/questlog/main/install.sh | sh
irm https://raw.githubusercontent.com/GhostPawJS/questlog/main/install.ps1 | iex
Other release installers:
mise use -g github:GhostPawJS/questlog
ubi --project GhostPawJS/questlog --exe ghostpaw-questlog --in ~/.local/bin
eget GhostPawJS/questlog
For aqua, define a
github_release package in aqua.yaml:
registries:
- name: questlog
type: local
path: questlog-registry.yaml
packages:
- name: GhostPawJS/questlog@v0.8.0
registry: questlog
questlog-registry.yaml:
packages:
- type: github_release
repo_owner: GhostPawJS
repo_name: questlog
asset: ghostpaw-questlog-{{trimV .Version}}-{{.OS}}-{{.Arch}}.tar.gz
format: tar.gz
replacements: { amd64: x64 }
overrides:
- goos: windows
asset: ghostpaw-questlog-{{trimV .Version}}-windows-{{.Arch}}.zip
format: zip
files:
- name: ghostpaw-questlog
Install scripts verify SHA256SUMS. To verify a downloaded archive's
build attestation:
gh attestation verify <archive> -R GhostPawJS/questlog
Set GHOSTPAW_VERIFY=attestation for attestation verification in install.sh.
Binaries are unsigned; macOS binaries carry an ad-hoc signature. For a browser
download on macOS, remove quarantine with
xattr -d com.apple.quarantine /path/to/ghostpaw-questlog.
Linux binaries require glibc 2.28+; use npx on Alpine.
See the binary build workflow.
Quick Start
import { DatabaseSync } from 'node:sqlite';
import { initQuestlogTables, read, write } from '@ghostpaw/questlog';
const db = new DatabaseSync(':memory:');
initQuestlogTables(db);
const rumor = write.captureRumor(db, {
title: 'Legal says the vendor terms changed',
details: 'Need to understand pricing delta and termination clause.',
});
write.settleRumor(db, rumor.id, {
settledAt: Date.now(),
questline: {
title: 'Vendor Renewal',
description: 'Commercial, legal, and approval work.',
},
quests: [
{ title: 'Collect redlines', objective: 'Obtain the latest legal markup.' },
{ title: 'Review pricing delta', objective: 'Compare current vs. proposed cost.' },
],
});
const available = read.listAvailableQuests(db);
const dueSoon = read.listDueSoonQuests(db, 7 * 24 * 60 * 60 * 1000);
const results = read.searchQuestlog(db, 'vendor');
Docs
The live demo runs the library in your browser against an in-memory SQLite database. Each view below opens a different part of it:
- Dashboard: open, available, overdue and pending work
- Intake: capture rumors and triage them into quests
- Quests: start, block and finish quests with an outcome
- Planning: questlines and scheduling
- Search: full-text search across the log
The Model
Seven concepts, strict separation of concerns:
| Rumor | Incoming signal that may or may not become real work |
| Questline | Shared context and rollup for a group of related quests |
| Quest | One concrete commitment with lifecycle, timing, and outcome |
| Repeatable Quest | Recurring template that spawns fresh quests on a schedule |
| Unlock | Hard prerequisite: quest B stays blocked until quest A succeeds |
| Reward | Descriptive outcome attached to completed work, with a claim lifecycle |
| Tag | Cross-cutting label for filtering and reporting |
The unified model means one entity type covers every temporal intention:
| A todo item | A quest with no temporal metadata |
| A deadline | A quest with dueAt |
| A calendar event | A quest with scheduledStartAt and scheduledEndAt |
| A recurring commitment | A repeatable quest with an RRULE |
| A completed action | A quest resolved via finishQuest |
State is derived, not toggled. A quest's availability comes from its lifecycle, timing fields, and unlock graph — computed at read time, never stored as a status flag.
Lifecycle at a glance
Questlog computes WoW-style markers on every read. They change as work moves through its lifecycle:
Intake
| $\color{Goldenrod}{\textsf{❗}}$ | Legal says the vendor terms changed | rumor · open |
| ↓ settle into questline + quests | |
Quest progression
| $\color{Goldenrod}{\textsf{❗}}$ | Review pricing delta | open · available |
| $\color{Gray}{\textsf{❓}}$ | Review pricing delta | in progress |
| $\color{Goldenrod}{\textsf{❓}}$ | Review pricing delta | done · reward unclaimed |
| ✓ | Review pricing delta | done · reward claimed |
Other markers
| $\color{CornflowerBlue}{\textsf{❗}}$ | Weekly standup notes | repeatable · due |
| $\color{Gray}{\textsf{❗}}$ | Plan Q3 roadmap | open · deferred |
| $\color{Gray}{\textsf{❓}}$ | Obtain finance approval | open · blocked |
Marker IDs are semantic strings (attention.available, progress.complete, ...) computed at read time, never stored. The markers namespace maps each to its symbol, color, label, and CSS class for consistent rendering across HTML, TTY, and plain text.
Two Audiences
Human developers
Use the read and write namespaces for direct-code access to every domain operation:
import { read, write } from '@ghostpaw/questlog';
write.createQuest(db, { title: 'Ship release notes', objective: 'Draft and publish.' });
write.startQuest(db, questId);
write.finishQuest(db, questId, 'Published to blog and changelog.');
const blocked = read.listBlockedQuests(db);
const overdue = read.listOverdueQuests(db);
See HUMAN.md for the full human-facing guide with worked examples.
LLM agents
Use the tools, skills, and soul namespaces for a structured runtime surface designed to minimize LLM cognitive load:
import { tools, skills, soul } from '@ghostpaw/questlog';
const allTools = tools.questlogTools;
const searchTool = tools.getQuestlogToolByName('search_questlog')!;
const result = searchTool.handler(db, { query: 'vendor', mode: 'browse' });
const allSkills = skills.questlogSkills;
const prompt = soul.renderQuestlogSoulPromptFoundation();
Every tool returns a discriminated result with outcome: 'success' | 'no_op' | 'needs_clarification' | 'error', structured entities, next-step hints, and actionable recovery advice. No thrown exceptions to parse, no ambiguous prose.
See LLM.md for the full AI-facing guide covering soul, tools, and skills.
Tools
Twelve tools shaped around operator intent, not raw storage operations:
search_questlog | Cross-entity full-text search |
review_questlog | Filtered list views (available, overdue, due soon, ...) |
inspect_questlog_item | Detailed inspection of any single entity |
capture_rumor | Record incoming work before committing to shape |
shape_work | Create quests, questlines, settle rumors into structure |
plan_quest | Set timing: due dates, defer dates, scheduled windows |
run_quest | Start, finish, abandon, log effort |
organize_work | Move quests between questlines, manage questline lifecycle |
manage_repeatable | Create and maintain recurring quest templates |
tag_work | Classify quests and repeatables with tags |
reward_work | Attach, update, claim, or remove rewards |
retire_work | Soft-delete or archive things that should leave the active surface |
Each tool exports runtime metadata — name, description, JSON Schema, input descriptions, side-effect level — so agent harnesses can wire them without reading docs.
The run_quest tool refuses to start a quest with unmet unlock prerequisites and returns the blocking quests with inspection hints. Set force: true to start anyway with a warning. The library startQuest function remains permissive.
Key Properties
- Zero runtime dependencies. Only
node:sqlite (built into Node 24+).
- Single prebundled blob. One ESM + one CJS entry in
dist/. No subpath exports, no code splitting.
- Pure SQLite storage. FTS5 full-text search, CHECK-constrained state transitions, trigger-maintained indexes. Bring your own
DatabaseSync instance.
- Derived state. Availability, blocking, deferral, overdue, and markers are computed at read time from fields and relationships, never stored as flags.
- Intention-shaped writes.
captureRumor, settleRumor, startQuest, finishQuest, abandonQuest — operations that say what happened, not generic CRUD.
- RFC 5545 recurrence. Standard RRULE strings for recurring work. No custom recurrence format.
- WoW-style markers. Semantic marker IDs (
attention.available, progress.complete, ...) computed on every read, renderable to any channel.
- Colocated tests. Every non-type module has a colocated
.test.ts file. The behavior described in docs is backed by executable coverage.
Performance
Measured with npm run bench on Node 24.14.0, Linux, Intel Xeon (shared
cloud vCPU), 10,000 quests in a file-backed database:
search_questlog (tool) | 0.06 ms | 0.07 ms |
MCP tools/call search, stdio framing included | 0.07 ms | 0.08 ms |
read.searchQuestlog, one matching quest | 0.07 ms | 0.08 ms |
read.searchQuestlog, all 10,000 quests matching | 26.6 ms | 41.9 ms |
write.createQuest | 0.22 ms | 0.69 ms |
The library search returns every match with a highlighted snippet, so a query
that matches the whole log pays for building all of those rows. Cold start
(process spawn to first response, median) is about 30 ms for --version and
the MCP server.
Package Surface
import {
initQuestlogTables,
read,
write,
tools,
skills,
soul,
markers,
} from '@ghostpaw/questlog';
All domain types are also available at the root for TypeScript consumers:
import type {
QuestlogDb,
QuestState,
QuestDetail,
CreateQuestInput,
QuestlogSearchResult,
QuestlogToolDefinition,
QuestlogSkill,
QuestlogSoul,
} from '@ghostpaw/questlog';
Documentation
| HUMAN.md | Human developers using the low-level read/write API |
| LLM.md | Agent builders wiring tools, skills, and soul into LLM systems |
| docs/README.md | Architecture overview: model, invariants, lifecycle, markers |
| docs/entities/ | Per-entity manuals with exact public API listings |
Development
npm install
npm test
npm run typecheck
npm run lint
npm run build
The repo is pinned to Node 24.14.0 via .nvmrc / .node-version / .tool-versions / mise.toml / Volta. Use whichever version manager you prefer.
Support
If this package helps your project, consider sponsoring its maintenance:

Anonyfox • MIT License