omg

openclaw-omg

OpenClaw plugin — Observational Memory Graph (OMG).

Builds a persistent knowledge graph from conversation history, injecting relevant context before each agent turn.

Build & Test

pnpm install
pnpm test          # 670 tests
pnpm typecheck     # tsc --noEmit

Installation

Add to openclaw.json — everything else is automatic:

{
  "plugins": {
    "load": { "paths": ["/path/to/openclaw-omg"] },
    "entries": { "omg": { "enabled": true } }
  }
}

Restart the gateway. On first boot the plugin: 1. Auto-enables gateway.http.endpoints.chatCompletions (writes config, gateway self-restarts) 2. Scaffolds memory/omg/ directory structure with template files 3. Registers the daily 3 AM reflection cron job 4. Fires bootstrap fire-and-forget (ingests existing memory files / logs / sqlite)

On every agent turn:

before_prompt_build → injects relevant graph nodes as <omg-context> in the prompt
agent_end → observes the conversation, creates/updates graph nodes

No API keys needed — LLM calls route through the gateway's own /v1/chat/completions endpoint using whatever model provider OpenClaw is already configured with.

Multi-Agent / Multi-Workspace Setup

How OpenClaw loads the plugin: register(api) is called once at gateway startup, not once per agent. The plugin receives the full global config via api.config and must handle all agents within that single registration.

How per-agent workspace is resolved — the plugin uses a three-level cascade:

| Priority | Source | When it applies | |----------|--------|-----------------| | 1st | ctx.workspaceDir from hook context | OpenClaw 2026.2+ passes per-agent workspace on every hook call | | 2nd | api.workspaceDir at register() time | Set when the gateway is started in a per-agent context (rare) | | 3rd | config.workspaceDir in plugin config | Explicit override in plugins.entries.omg.config | | 4th | agents.defaults.workspace | Global fallback from agent defaults |

For a typical setup with multiple agents sharing one workspace (e.g. pati, email-triage, whatsapp-triage all using ~/Secretary) the default workspace fallback works correctly — all agents share one graph, which is intentional.

For agents with separate workspaces (e.g. a coding agent using ~/TechLead alongside a pati agent using ~/Secretary), the plugin picks up ctx.workspaceDir from each hook call, so each agent's sessions read/write their own graph. This requires OpenClaw to populate ctx.workspaceDir per hook call (confirmed in PluginHookAgentContext type).

Session isolation: Each conversation gets a unique sessionKey (e.g. "session-abc123"). Session state is stored at:

{workspaceDir}/.omg-state/{sessionKey}.json

This tracks per-session token counts and observation boundaries so sessions never interfere with each other. The shared graph under memory/omg/nodes/ accumulates knowledge from all sessions.

What sessionKey is: An opaque string from the gateway. Could be a UUID, a Telegram message thread ID, or a timestamp-based key depending on the channel. The plugin treats it as a stable, path-safe identifier for the duration of one conversation.

Agent name (agentId): Available in hook context but not used as a graph namespace — the graph is shared across agents operating on the same workspace. The agentId is used only as a fallback sessionKey when the gateway doesn't provide one.

Example: two agents, two workspaces

Gateway (single process)
├── pati agent        → workspace: ~/Secretary   → graph: ~/Secretary/memory/omg/
│   sessions: session-abc, session-def, ...
│   state:    ~/Secretary/.omg-state/session-abc.json
│
└── coding agent      → workspace: ~/TechLead    → graph: ~/TechLead/memory/omg/
    sessions: session-xyz, ...
    state:    ~/TechLead/.omg-state/session-xyz.json

Both graphs are independent. Bootstrap runs once per workspace. Cron reflection runs on the workspace resolved at gateway_start (the global default); see Known Limitations below.

Known Limitations

1. Cron runs on one workspace only. The cron reflection job is registered once at gateway_start using the globally-resolved workspace. If you have agents with different workspaces, only the default workspace gets scheduled nightly reflection. Workaround: set config.workspaceDir explicitly per-agent via per-agent plugin config (not yet supported by OpenClaw — it sends one global config to the plugin).

2. Bootstrap fires once per gateway lifetime, for the default workspace. The bootstrapTriggeredFromSession flag prevents double-bootstrap within one gateway lifetime, but it's a single boolean shared across all agents. If pati boots first and triggers bootstrap for ~/Secretary, the coding agent's workspace ~/TechLead won't bootstrap from gateway_start — it bootstraps from before_prompt_build on the first message to the coding agent (the flag is per-workspaceDir check, not per-flag).

Actually: before_prompt_build also guards with the bootstrapTriggeredFromSession flag — so if pati runs first and sets the flag, coding won't bootstrap. This is a bug — the flag should be per-workspace or completely removed in favour of the sentinel-only approach.

3. chatCompletions auto-enable triggers a gateway restart. On first install, gateway_start writes the config patch, the file watcher detects it (~500ms debounce), and the gateway restarts. The first boot's bootstrap attempt may use the direct-API fallback during that window. After restart everything routes through the gateway.

Configuration

All fields are optional with sensible defaults. An empty {} config is fully valid.

{
  "plugins": {
    "entries": {
      "omg": {
        "enabled": true,
        "config": {
          "storagePath": "memory/omg",
          "observation": {
            "triggerMode": "threshold",
            "messageTokenThreshold": 30000
          },
          "reflection": {
            "cronSchedule": "0 3 * * *",
            "observationTokenThreshold": 40000
          },
          "injection": {
            "maxContextTokens": 4000,
            "maxMocs": 3,
            "maxNodes": 5
          },
          "observer": { "model": null },
          "reflector": { "model": null }
        }
      }
    }
  }
}

model: null inherits the gateway's active model. Set to e.g. "openai-codex/gpt-5.3-codex" to use a specific model for observation/reflection.

triggerMode options:

"threshold" — observe after messageTokenThreshold tokens accumulate (default, production)
"every-turn" — observe after every agent turn (dev/test mode)
"manual" — only when explicitly invoked

OpenClaw Plugin API — Discovered Quirks

Critical findings from debugging against a live gateway.

api.config is the FULL global openclaw.json

Plugin-specific config is nested at api.config.plugins.entries.omg.config, NOT at api.config directly. Extract it explicitly:

const rawGlobal = api.config as Record<string, unknown>
const rawPluginConfig =
  (
    ((rawGlobal?.['plugins'] as Record<string, unknown>)
      ?.['entries'] as Record<string, unknown>)
    ?.['omg'] as Record<string, unknown>
  )?.['config'] ?? api.config  // fallback for backward compat

api.workspaceDir is undefined at gateway level

Only populated for per-agent sessions, not global gateway plugin registration. Resolve from multiple sources:

// Priority: ctx.workspaceDir → api.workspaceDir → config.workspaceDir → agents.defaults.workspace
const agentDefaultWorkspace = (rawGlobal?.['agents'] as any)?.['defaults']?.['workspace']
const workspaceDir = ctx.workspaceDir ?? api.workspaceDir ?? config.workspaceDir ?? agentDefaultWorkspace

api.generate is NOT on the plugin API

The OpenClaw plugin API (OpenClawPluginApi) does not expose a generate method. LLM calls must go through the gateway's /v1/chat/completions endpoint:

http://127.0.0.1:{gateway.port}/v1/chat/completions
Authorization: Bearer {gateway.auth.token}

Requires gateway.http.endpoints.chatCompletions.enabled: true in config. The plugin auto-enables this on gateway_start via runtime.config.writeConfigFile.

api.scheduleCron is not always available

Guard before using:

if (typeof api.scheduleCron !== 'function') {
  console.warn('[omg] scheduleCron not available — cron jobs will not run')
  return
}

CLI action receives positional args differently

program.command('omg bootstrap') in commander creates command omg with positional arg bootstrap, not a nested subcommand. Action signature is (...positionalArgs, options, command):

.action(async (...actionArgs: unknown[]) => {
  // opts is second-to-last: (bootstrapArg, opts, command)
  const opts = (actionArgs.length >= 2
    ? actionArgs[actionArgs.length - 2]
    : {}) as Record<string, unknown>
  const force = Boolean(opts['force'])
})

JSON.stringify(args) crashes because the last arg is a circular Command object.

api.generate is not available in CLI context

openclaw omg bootstrap runs in a separate CLI process without LLM access. Bootstrap runs automatically from the first agent session. To force a re-run:

rm <omgRoot>/.bootstrap-done   # delete sentinel → bootstrap re-runs on next agent turn

Bootstrap Flow

1. gateway_start: scaffold directory, register cron jobs, auto-enable chatCompletions. Fire-and-forget bootstrap if graph is empty. 2. before_prompt_build (first call): check if graph is empty, trigger bootstrap fire-and-forget. LLM available here. 3. CLI openclaw omg bootstrap: fails with clear error — no LLM in CLI context.

Sentinel: {omgRoot}/.bootstrap-done — prevents re-ingestion. Delete to force re-run.

Gateway config auto-enable

The plugin patches gateway.http.endpoints.chatCompletions.enabled: true on first boot:

Reads current config via runtime.config.loadConfig()
Merges the change immutably
Writes back via runtime.config.writeConfigFile()
The "gateway.*" reload rule triggers a full gateway restart within ~500ms
On second boot, the patch is a no-op (already enabled)

Gateway config file: ~/.openclaw/openclaw.json (NOT ~/.clawdbot/clawdbot.json). Auth token: gateway.auth.token (different from the clawdbot config!).

Summary

Install to Claude Code