SKILL.md
ATXP Memory — Agent Memory Management
Manage your agent's .md memory files: back up and restore to/from ATXP cloud servers, and search your local memories using zvec vector similarity search.
Capabilities
Capability
Description
Cloud Backup
Push/pull .md files to ATXP servers for disaster recovery
Local Search
Index .md files into a local zvec vector database, then search by natural language query
Status
View cloud backup info and local index statistics
Security Model
- **Only
.mdfiles** are collected and transmitted (push/pull). No credentials, JSON configs, binaries, or other file types are ever sent.
- Files are sent to ATXP servers over HTTPS, associated with the authenticated agent's identity.
pushreplaces the server snapshot entirely (latest snapshot only, no history).
pullis non-destructive — it writes server files to the local directory but does not delete local files absent from the server.
- Local search index is stored in a
.atxp-memory-index/subdirectory inside--path. It never leaves the local machine.
- index and search do not require authentication or network access.
- Filesystem access: reads from
--pathdirectory (push/index), writes to--pathdirectory (pull) and--path/.atxp-memory-index/(index). No other directories are touched.
- No modification of OpenClaw config or auth files.
When to Use
Situation
Command
After meaningful changes to SOUL.md, MEMORY.md, or at end of session
push
Bootstrapping a fresh workspace or recovering from environment loss
pull
After updating memory files and before starting a task that requires recall
index
Looking for relevant context in past memories
search
Verify backup exists before risky operations
status
Commands Reference
Command
Description
npx atxp@latest memory push --path <dir>
Recursively collect all *.md files from <dir> and upload to server
npx atxp@latest memory pull --path <dir>
Download backup from server and write files to <dir>
npx atxp@latest memory index --path <dir>
Chunk .md files by heading and build a local zvec search index
npx atxp@latest memory search <query> --path <dir>
Search indexed memories by similarity
npx atxp@latest memory status [--path <dir>]
Show cloud backup info and/or local index stats
Options
Option
Required
Description
--path <dir>
Yes (push/pull/index/search)
Directory to operate on
--topk <n>
No (search only)
Number of results to return (default: 10)
How Local Search Works
-
Indexing (memory index):
- Scans all
.mdfiles recursively from--path
- Splits each file into chunks at heading boundaries (h1/h2/h3)
- Converts each chunk into a 256-dimensional feature vector using locality-sensitive hashing (unigrams + bigrams)
- Stores vectors and metadata in a local zvec database (HNSW index) at
<path>/.atxp-memory-index/
-
Searching (memory search):
- Converts the query text into the same vector representation
- Performs approximate nearest neighbor search via zvec's HNSW index
- Returns the top-k most similar chunks with file paths, headings, line numbers, and similarity scores
The search is purely local — no network requests, no API keys, no cost. Re-index after modifying memory files.
Path Conventions
Typical OpenClaw workspace paths:
~/.openclaw/workspace-<id>/
~/.openclaw/workspace-<id>/SOUL.md
~/.openclaw/workspace-<id>/MEMORY.md
~/.openclaw/workspace-<id>/memory/
~/.openclaw/workspace-<id>/AGENTS.md
~/.openclaw/workspace-<id>/USER.md
Backward Compatibility
The backup command is still accepted as an alias for memory:
npx atxp@latest backup push --path <dir> # works, same as memory push
npx atxp@latest backup pull --path <dir> # works, same as memory pull
npx atxp@latest backup status # works, same as memory status
Limitations
- **
.mdfiles only** — all other file types are ignored during push/index and not present in pull.
- Latest snapshot only — each push overwrites the previous backup. There is no version history.
- Requires ATXP auth for cloud operations — run
npx atxp@latest loginornpx atxp@latest agent registerfirst.
- **
--pathis required** — there is no auto-detection of workspace location.
- Local search requires @zvec/zvec — install with
npm install @zvec/zvecbefore using index/search.
- Feature-hash embeddings — local search uses statistical text hashing, not neural embeddings. It works well for keyword and phrase matching but is not a full semantic search. For best results, use specific terms from your memory files.