@clawvault/workgraph
Agent-first workgraph workspace for multi-agent collaboration.
@clawvault/workgraph is the coordination core extracted from ClawVault. It focuses only on:
- Dynamic primitive registry (
thread, space, decision, lesson, fact, agent, plus custom types)
- Append-only event ledger (
.clawvault/ledger.jsonl)
- Ledger claim index (
.clawvault/ledger-index.json) for fast ownership queries
- Tamper-evident ledger hash-chain (
.clawvault/ledger-chain.json)
- Markdown-native primitive store
- Thread lifecycle coordination (claim/release/block/unblock/done/decompose)
- Space-scoped thread scheduling (
--space)
- Generated markdown command center (
workgraph command-center)
- Native skill primitive lifecycle (
workgraph skill write/load/propose/promote)
- Primitive-registry manifest + auto-generated
.base files
- JSON-friendly CLI for agent orchestration
No memory-category scaffolding, no qmd dependency, no observational-memory pipeline.
Install
npm install @clawvault/workgraph
Or global CLI:
npm install -g @clawvault/workgraph
Agent-first CLI
workgraph init ./wg-space --json
workgraph primitive define command-center \
--description "Agent ops cockpit" \
--fields owner:string \
--fields panel_refs:list \
--json
workgraph thread create "Ship command center" \
--goal "Production-ready multi-agent command center" \
--priority high \
--actor agent-lead \
--json
workgraph thread next --claim --actor agent-worker --json
workgraph ledger show --count 20 --json
workgraph command-center --output "ops/Command Center.md" --json
workgraph bases generate --refresh-registry --json
JSON contract
All commands support --json and emit:
- Success:
{ "ok": true, "data": ... }
- Failure:
{ "ok": false, "error": "..." } (non-zero exit)
This is intended for robust parsing by autonomous agents.
Space-scoped scheduling
workgraph thread create "Implement auth middleware" \
--goal "Protect private routes" \
--space spaces/backend.md \
--actor agent-api \
--json
workgraph thread list --space spaces/backend --ready --json
workgraph thread next --space spaces/backend --claim --actor agent-api --json
Auto-generate .base files from primitive registry
workgraph bases sync-registry --json
workgraph bases generate --json
workgraph bases generate --all --refresh-registry --json
Ledger query, blame, and tamper detection
workgraph ledger query --actor agent-worker --op claim --json
workgraph ledger blame threads/auth.md --json
workgraph ledger verify --strict --json
Native skill lifecycle (shared vault / Tailscale)
export WORKGRAPH_SHARED_VAULT=/mnt/tailscale/company-workgraph
workgraph skill write "workgraph-manual" \
--body-file ./skills/workgraph-manual.md \
--owner agent-architect \
--actor agent-architect \
--json
workgraph skill propose workgraph-manual --actor agent-reviewer --space spaces/platform --json
workgraph skill promote workgraph-manual --actor agent-lead --json
workgraph skill load workgraph-manual --json
ClawVault memory vs Workgraph primitives (split clarification)
@clawvault/workgraph is execution coordination only.
- Use it for: ownership, decomposition, dependency management, typed coordination primitives.
- Do not use it for: long-term memory categories (
decisions/, people/, projects/ memory workflows), qmd semantic retrieval pipelines, observer/reflector memory compression.
This split keeps the workgraph package focused, portable, and shell-agent-native.
Migrating from mixed memory/workgraph vaults
Programmatic API
import { registry, thread, store, ledger, workspace } from '@clawvault/workgraph';
workspace.initWorkspace('/tmp/wg');
registry.defineType('/tmp/wg', 'milestone', 'Release checkpoint', {
thread_refs: { type: 'list', default: [] },
target_date: { type: 'date' },
}, 'agent-architect');
const t = thread.createThread('/tmp/wg', 'Build Auth', 'JWT and refresh flow', 'agent-lead');
thread.claim('/tmp/wg', t.path, 'agent-worker');
thread.done('/tmp/wg', t.path, 'agent-worker', 'Shipped');
Publish (package-only)
From this directory:
npm run ci
npm publish --access public
Skill guide
See SKILL.md for the full operational playbook optimized for autonomous agents (including pi-mono compatibility guidance).