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Honcho Memory Multiplexer

by @spooktheducks

Install and enable Honcho + the @alloralabs/honcho-memory-mux extension, migrate legacy file memory, and update workspace instructions so agents use memory v...

Versionv0.1.0
Downloads1,011
TERMINAL
clawhub install honcho-memory-mux

πŸ“– About This Skill


name: honcho-memory-mux-setup description: > Install and enable Honcho + the @alloralabs/honcho-memory-mux extension, migrate legacy file memory, and update workspace instructions so agents use memory via Honcho-first multiplexed retrieval with local-file fallback. metadata: openclaw: emoji: "🧠" optional_env: - name: HONCHO_API_KEY description: "API key. Optional for many local/self-hosted setups." - name: HONCHO_BASE_URL description: "Base URL for self-hosted Honcho (example: http://localhost:8000)." - name: HONCHO_WORKSPACE_ID description: "Honcho workspace ID (default: openclaw)." - name: WORKSPACE_ROOT description: "OpenClaw workspace root. Auto-detected if unset." required_binaries: - node - npm optional_binaries: - git - docker - docker-compose writes_to_disk: true network_access: - "User-configured HONCHO_BASE_URL (self-hosted mode)" homepage: "https://honcho.dev" source: - "https://github.com/plastic-labs/honcho" - "https://github.com/allora-network/honcho-memory-mux"

Honcho + Memory Mux Setup

This skill installs and enables: 1) @honcho-ai/openclaw-honcho (Honcho tools + integration) 2) @alloralabs/honcho-memory-mux (multiplexed memory behavior)

Then it migrates legacy memory files, updates agent docs, and validates runtime behavior.


What β€œmemory mux” means in practice

After setup, memory behavior should be:

  • Primary retrieval: Honcho tools (honcho_context, honcho_search, etc.)
  • Secondary retrieval: local memory files (MEMORY.md, memory/*.md) via memory_search / memory_get
  • Durability: pre-compaction flush writes significant session learnings to memory/YYYY-MM-DD.md
  • Fallback safety: if Honcho is unavailable, file-based memory still works
  • This is intentionally complementary, not a hard cutover.


    Step 0: Preflight and safety checks

    Before doing anything destructive:

  • Resolve workspace root from:
  • 1. WORKSPACE_ROOT 2. ~/.openclaw/openclaw.json (agent.workspace or agents.defaults.workspace) 3. ~/.openclaw/workspace
  • Confirm directory exists
  • Inform user this process can upload memory files to Honcho

  • Step 1: Install + enable Honcho plugin

    Use OpenClaw plugin manager (not workspace npm install):

    openclaw plugins install @honcho-ai/openclaw-honcho
    openclaw plugins enable openclaw-honcho
    

    If gateway logs show missing SDK deps:

    cd ~/.openclaw/extensions/openclaw-honcho
    npm install
    

    Restart gateway if required.


    Step 2: Install + enable memory mux extension

    Install and enable the memory-mux extension:

    openclaw plugins install @alloralabs/honcho-memory-mux
    openclaw plugins enable @alloralabs/honcho-memory-mux
    

    If the extension is local/unpublished, install from path or git URL per your release flow.

    After enabling:

  • Verify plugin appears in openclaw plugins list
  • Verify gateway boots cleanly (no extension load errors)
  • Verify both Honcho tools and memory_search / memory_get are present at runtime

  • Step 3: Verify Honcho connectivity (self-hosted)

  • Set HONCHO_BASE_URL (example: http://localhost:8000)
  • HONCHO_API_KEY may be optional depending on auth config
  • If user needs local Honcho quickly:

    git clone https://github.com/plastic-labs/honcho
    cd honcho
    cp .env.template .env
    cp docker-compose.yml.example docker-compose.yml
    docker compose up -d
    

    Do not migrate until connection is verified.


    Step 4: Detect and classify legacy memory files

    Scan workspace for:

    User/owner memory inputs

  • USER.md
  • IDENTITY.md
  • MEMORY.md
  • memory/** (recursive)
  • canvas/** (recursive)
  • Agent/self memory inputs

  • SOUL.md
  • AGENTS.md (and AGENT.md if present in this workspace)
  • TOOLS.md
  • BOOTSTRAP.md
  • HEARTBEAT.md
  • Present a clear preview before upload:

  • count files per class
  • total bytes per class
  • any unreadable/skipped files
  • Ask for explicit confirmation.


    Step 5: Upload to Honcho using peer-separated sessions

    Create/ensure:

  • workspace (HONCHO_WORKSPACE_ID or openclaw)
  • peer owner
  • peer openclaw
  • migration session (e.g. migration-upload-)
  • Add both peers to session, then upload files:

  • user/owner files β†’ owner
  • agent/self files β†’ openclaw
  • If any upload fails:

  • stop
  • report exact file and error
  • keep local files unchanged
  • Report summary:

  • uploaded user file count
  • uploaded agent file count
  • failed/skipped files

  • Step 6: Update workspace docs (including AGENT.md compatibility)

    Update/create memory instructions in:

  • AGENTS.md
  • SOUL.md
  • BOOTSTRAP.md
  • AGENT.md (if this workspace uses it)
  • Preserve custom content; only replace memory-specific sections.

    Required policy text to add

    1. Memory retrieval order - First try honcho_context / honcho_search / honcho_recall - If needed, use memory_search + memory_get for local file recall - Use honcho_session for same-session recall

    2. Memory write behavior - Important durable facts can be written via honcho_write - Pre-compaction flush writes concise durable notes to memory/YYYY-MM-DD.md

    3. Failure handling - If Honcho unavailable: continue with local memory tools, state degraded mode - Never claim memory certainty without retrieval evidence

    4. Transparency - When memory influences an answer, be able to explain source class (Honcho recall vs local file recall vs current-session context)


    Step 7: Add/refresh practical memory operating conventions

    Ensure docs reflect these conventions the agent has been using:

  • Do not preload everything into active reasoning if not needed
  • Prefer targeted retrieval over huge static context injection
  • Treat disagreement as signal: preserve conflicting observations; do not silently average
  • Use pre-compaction flushes to avoid losing high-value context during long sessions
  • Separate memory types conceptually:
  • - durable facts - episodic notes - scratch/working notes

    Even if physical storage is mixed, behavior should preserve this distinction.


    Step 8: Optional (recommended) no-fork observability add-on

    Without modifying OpenClaw gateway source, the memory-mux extension can emit:

  • a small memory load manifest per session start (what memory sources were pulled)
  • a pre-compaction write report (what was persisted)
  • Store under:

  • memory/manifests/YYYY-MM-DD/.json
  • This makes memory behavior debuggable while keeping upstream updates painless.


    Step 9: Validate end-to-end behavior

    Run a quick live test: 1. Ask agent about a known historical fact only in migrated memory 2. Confirm retrieval path works (Honcho first, fallback available) 3. Trigger/perform pre-compaction flush 4. Confirm new note appears in memory/YYYY-MM-DD.md 5. Re-ask fact in a new turn/session to validate durability


    Wrap-up report to user

    Provide:

  • installed/enabled plugin list
  • Honcho connectivity mode (managed vs self-hosted)
  • files discovered, uploaded, skipped
  • docs updated (AGENTS.md, SOUL.md, BOOTSTRAP.md, AGENT.md if present)
  • any follow-up actions
  • Reference docs:

  • https://docs.honcho.dev
  • https://github.com/plastic-labs/honcho

  • Guardrails

  • Never delete user memory files automatically unless user explicitly asks
  • Never proceed with migration on failed Honcho connectivity
  • Never silently ignore upload errors
  • Prefer reversible edits and clear summaries