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memory-wiki is a bundled plugin that turns durable memory into a compiled knowledge vault. It does not replace the active memory plugin. The active memory plugin still owns recall, promotion, indexing, and dreaming. memory-wiki sits beside it and compiles durable knowledge into a navigable wiki with deterministic pages, structured claims, provenance, dashboards, and machine-readable digests. Use it when you want memory to behave more like a maintained knowledge layer and less like a pile of Markdown files.

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What it adds

  • A dedicated wiki vault with deterministic page layout
  • Structured claim and evidence metadata, not just prose
  • Page-level provenance, confidence, contradictions, and open questions
  • Compiled digests for agent/runtime consumers
  • Wiki-native search/get/apply/lint tools
  • Optional bridge mode that imports public artifacts from the active memory plugin
  • Optional Obsidian-friendly render mode and CLI integration

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How it fits with memory

Think of the split like this:
LayerOwns
Active memory plugin (memory-core, QMD, Honcho, etc.)Recall, semantic search, promotion, dreaming, memory runtime
memory-wikiCompiled wiki pages, provenance-rich syntheses, dashboards, wiki-specific search/get/apply
If the active memory plugin exposes shared recall artifacts, OpenClaw can search both layers in one pass with memory_search corpus=all. When you need wiki-specific ranking, provenance, or direct page access, use the wiki-native tools instead. A strong default for local-first setups is:
  • QMD as the active memory backend for recall and broad semantic search
  • memory-wiki in bridge mode for durable synthesized knowledge pages
That split works well because each layer stays focused:
  • QMD keeps raw notes, session exports, and extra collections searchable
  • memory-wiki compiles stable entities, claims, dashboards, and source pages
Practical rule:
  • use memory_search when you want one broad recall pass across memory
  • use wiki_search and wiki_get when you want provenance-aware wiki results
  • use memory_search corpus=all when you want shared search to span both layers
If bridge mode reports zero exported artifacts, the active memory plugin is not currently exposing public bridge inputs yet. Run openclaw wiki doctor first, then confirm the active memory plugin supports public artifacts. When bridge mode is active and bridge.readMemoryArtifacts is enabled, openclaw wiki status, openclaw wiki doctor, and openclaw wiki bridge import read through the running Gateway. That keeps CLI bridge checks aligned with the runtime memory plugin context. If bridge is disabled or artifact reads are turned off, those commands keep their local/offline behavior.

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Vault modes

memory-wiki supports three vault modes:

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isolated

Own vault, own sources, no dependency on memory-core. Use this when you want the wiki to be its own curated knowledge store.

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bridge

Reads public memory artifacts and memory events from the active memory plugin through public plugin SDK seams. Use this when you want the wiki to compile and organize the memory plugin’s exported artifacts without reaching into private plugin internals. Bridge mode can index:
  • exported memory artifacts
  • dream reports
  • daily notes
  • memory root files
  • memory event logs

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unsafe-local

Explicit same-machine escape hatch for local private paths. This mode is intentionally experimental and non-portable. Use it only when you understand the trust boundary and specifically need local filesystem access that bridge mode cannot provide.

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Vault layout

The plugin initializes a vault like this: 
<vault>/
  AGENTS.md
  WIKI.md
  index.md
  inbox.md
  entities/
  concepts/
  syntheses/
  sources/
  reports/
  _attachments/
  _views/
  .openclaw-wiki/
Managed content stays inside generated blocks. Human note blocks are preserved. The main page groups are:
  • sources/ for imported raw material and bridge-backed pages
  • entities/ for durable things, people, systems, projects, and objects
  • concepts/ for ideas, abstractions, patterns, and policies
  • syntheses/ for compiled summaries and maintained rollups
  • reports/ for generated dashboards

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Structured claims and evidence

Pages can carry structured claims frontmatter, not just freeform text. Each claim can include:
  • id
  • text
  • status
  • confidence
  • evidence[]
  • updatedAt
Evidence entries can include:
  • kind
  • sourceId
  • path
  • lines
  • weight
  • confidence
  • privacyTier
  • note
  • updatedAt
This is what makes the wiki act more like a belief layer than a passive note dump. Claims can be tracked, scored, contested, and resolved back to sources.

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Agent-facing entity metadata

Entity pages can also carry routing metadata for agent use. This is generic frontmatter, so it works for people, teams, systems, projects, or any other entity type. Common fields include:
  • entityType: for example person, team, system, or project
  • canonicalId: stable identity key used across aliases and imports
  • aliases: names, handles, or labels that should resolve to the same page
  • privacyTier: public, local-private, sensitive, or confirm-before-use
  • bestUsedFor / notEnoughFor: compact routing hints
  • lastRefreshedAt: source-refresh timestamp separate from page edit time
  • personCard: optional person-specific routing card with handles, socials, emails, timezone, lane, ask-for, avoid-asking-for, confidence, and privacy
  • relationships: typed edges to related pages with target, kind, weight, confidence, evidence kind, privacy tier, and note
For a people wiki, the agent should usually start with reports/person-agent-directory.md, then open the person page with wiki_get before using contact details or inferred facts. Example: 
pageType: entity
entityType: person
id: entity.brad-groux
canonicalId: maintainer.brad-groux
aliases:
  - Brad
  - bgroux
privacyTier: local-private
bestUsedFor:
  - Microsoft Teams and Azure routing
notEnoughFor:
  - legal approval
lastRefreshedAt: "2026-04-29T00:00:00.000Z"
personCard:
  handles:
    - "@bgroux"
  socials:
    - "https://x.example/bgroux"
  emails:
    - brad@example.com
  timezone: America/Chicago
  lane: Microsoft ecosystem
  askFor:
    - Teams rollout questions
  avoidAskingFor:
    - unrelated billing decisions
  confidence: 0.8
  privacyTier: confirm-before-use
relationships:
  - targetId: entity.alice
    targetTitle: Alice
    kind: collaborates-with
    confidence: 0.7
    evidenceKind: discrawl-stat
claims:
  - id: claim.brad.teams
    text: Brad is useful for Microsoft Teams routing.
    status: supported
    confidence: 0.9
    evidence:
      - kind: maintainer-whois
        sourceId: source.maintainers
        privacyTier: local-private

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Compile pipeline

The compile step reads wiki pages, normalizes summaries, and emits stable machine-facing artifacts under:
  • .openclaw-wiki/cache/agent-digest.json
  • .openclaw-wiki/cache/claims.jsonl
These digests exist so agents and runtime code do not have to scrape Markdown pages. Compiled output also powers:
  • first-pass wiki indexing for search/get flows
  • claim-id lookup back to owning pages
  • compact prompt supplements
  • report/dashboard generation

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Dashboards and health reports

When render.createDashboards is enabled, compile maintains dashboards under reports/. Built-in reports include:
  • reports/open-questions.md
  • reports/contradictions.md
  • reports/low-confidence.md
  • reports/claim-health.md
  • reports/stale-pages.md
  • reports/person-agent-directory.md
  • reports/relationship-graph.md
  • reports/provenance-coverage.md
  • reports/privacy-review.md
These reports track things like:
  • contradiction note clusters
  • competing claim clusters
  • claims missing structured evidence
  • low-confidence pages and claims
  • stale or unknown freshness
  • pages with unresolved questions
  • person/entity routing cards
  • structured relationship edges
  • evidence class coverage
  • non-public privacy tiers that need review before use

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Search and retrieval

memory-wiki supports two search backends:
  • shared: use the shared memory search flow when available
  • local: search the wiki locally
It also supports three corpora:
  • wiki
  • memory
  • all
Important behavior:
  • wiki_search and wiki_get use compiled digests as a first pass when possible
  • claim ids can resolve back to the owning page
  • contested/stale/fresh claims influence ranking
  • provenance labels can survive into results
  • search mode can bias ranking for person lookup, question routing, source evidence, or raw claims
Practical rule:
  • use memory_search corpus=all for one broad recall pass
  • use wiki_search + wiki_get when you care about wiki-specific ranking, provenance, or page-level belief structure
Search modes:
  • auto: balanced default
  • find-person: boost person-like entities, aliases, handles, socials, and canonical IDs
  • route-question: boost agent cards, ask-for hints, best-used-for hints, and relationship context
  • source-evidence: boost source pages and structured evidence metadata
  • raw-claim: boost matching structured claims and return claim/evidence metadata in results
When a result matches a structured claim, wiki_search can return matchedClaimId, matchedClaimStatus, matchedClaimConfidence, evidenceKinds, and evidenceSourceIds in its details payload. Text output also includes compact Claim: and Evidence: lines when available.

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Agent tools

The plugin registers these tools:
  • wiki_status
  • wiki_search
  • wiki_get
  • wiki_apply
  • wiki_lint
What they do:
  • wiki_status: current vault mode, health, Obsidian CLI availability
  • wiki_search: search wiki pages and, when configured, shared memory corpora; accepts mode for person lookup, question routing, source evidence, or raw claim drilldown
  • wiki_get: read a wiki page by id/path or fall back to shared memory corpus
  • wiki_apply: narrow synthesis/metadata mutations without freeform page surgery
  • wiki_lint: structural checks, provenance gaps, contradictions, open questions
The plugin also registers a non-exclusive memory corpus supplement, so shared memory_search and memory_get can reach the wiki when the active memory plugin supports corpus selection.

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Prompt and context behavior

When context.includeCompiledDigestPrompt is enabled, memory prompt sections append a compact compiled snapshot from agent-digest.json. That snapshot is intentionally small and high-signal:
  • top pages only
  • top claims only
  • contradiction count
  • question count
  • confidence/freshness qualifiers
This is opt-in because it changes prompt shape and is mainly useful for context engines or legacy prompt assembly that explicitly consume memory supplements.

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Configuration

Put config under plugins.entries.memory-wiki.config: 
{
  plugins: {
    entries: {
      "memory-wiki": {
        enabled: true,
        config: {
          vaultMode: "isolated",
          vault: {
            path: "~/.openclaw/wiki/main",
            renderMode: "obsidian",
          },
          obsidian: {
            enabled: true,
            useOfficialCli: true,
            vaultName: "OpenClaw Wiki",
            openAfterWrites: false,
          },
          bridge: {
            enabled: false,
            readMemoryArtifacts: true,
            indexDreamReports: true,
            indexDailyNotes: true,
            indexMemoryRoot: true,
            followMemoryEvents: true,
          },
          ingest: {
            autoCompile: true,
            maxConcurrentJobs: 1,
            allowUrlIngest: true,
          },
          search: {
            backend: "shared",
            corpus: "wiki",
          },
          context: {
            includeCompiledDigestPrompt: false,
          },
          render: {
            preserveHumanBlocks: true,
            createBacklinks: true,
            createDashboards: true,
          },
        },
      },
    },
  },
}
Key toggles:
  • vaultMode: isolated, bridge, unsafe-local
  • vault.renderMode: native or obsidian
  • bridge.readMemoryArtifacts: import active memory plugin public artifacts
  • bridge.followMemoryEvents: include event logs in bridge mode
  • search.backend: shared or local
  • search.corpus: wiki, memory, or all
  • context.includeCompiledDigestPrompt: append compact digest snapshot to memory prompt sections
  • render.createBacklinks: generate deterministic related blocks
  • render.createDashboards: generate dashboard pages

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Example: QMD + bridge mode

Use this when you want QMD for recall and memory-wiki for a maintained knowledge layer: 
{
  memory: {
    backend: "qmd",
  },
  plugins: {
    entries: {
      "memory-wiki": {
        enabled: true,
        config: {
          vaultMode: "bridge",
          bridge: {
            enabled: true,
            readMemoryArtifacts: true,
            indexDreamReports: true,
            indexDailyNotes: true,
            indexMemoryRoot: true,
            followMemoryEvents: true,
          },
          search: {
            backend: "shared",
            corpus: "all",
          },
          context: {
            includeCompiledDigestPrompt: false,
          },
        },
      },
    },
  },
}
This keeps:
  • QMD in charge of active memory recall
  • memory-wiki focused on compiled pages and dashboards
  • prompt shape unchanged until you intentionally enable compiled digest prompts

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CLI

memory-wiki also exposes a top-level CLI surface: 
openclaw wiki status
openclaw wiki doctor
openclaw wiki init
openclaw wiki ingest ./notes/alpha.md
openclaw wiki compile
openclaw wiki lint
openclaw wiki search "alpha"
openclaw wiki get entity.alpha
openclaw wiki apply synthesis "Alpha Summary" --body "..." --source-id source.alpha
openclaw wiki bridge import
openclaw wiki obsidian status
See CLI: wiki for the full command reference.

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Obsidian support

When vault.renderMode is obsidian, the plugin writes Obsidian-friendly Markdown and can optionally use the official obsidian CLI. Supported workflows include:
  • status probing
  • vault search
  • opening a page
  • invoking an Obsidian command
  • jumping to the daily note
This is optional. The wiki still works in native mode without Obsidian.
  1. Keep your active memory plugin for recall/promotion/dreaming.
  2. Enable memory-wiki.
  3. Start with isolated mode unless you explicitly want bridge mode.
  4. Use wiki_search / wiki_get when provenance matters.
  5. Use wiki_apply for narrow syntheses or metadata updates.
  6. Run wiki_lint after meaningful changes.
  7. Turn on dashboards if you want stale/contradiction visibility.