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Install in OpenClaw
/install memory-garden
Description
N-count validated knowledge for AI agents. Patterns that prove themselves through repeated use. Local-first, community-ready.
Usage Guidance
This skill appears to do what it claims — run a local mg-daemon, augment queries with validated patterns, and optionally extract/sync patterns. Before installing: 1) Verify the release binaries (download URL + SHA256 in SKILL.md) against the upstream GitHub release you trust. 2) Be aware the skill will create ~/.memory-garden and generate an Ed25519 private key (identity.json, mode 0600) used for signing; protect and back up this file or override its location via MG_IDENTITY_DIR if needed. 3) Extraction and P2P sync are opt-in (disabled by default) — do not enable MG_EXTRACTION_ENABLED or MG_SYNC_ENABLED unless you want the agent to extract conversation content or participate in networked syncing. 4) If you prefer the skill not to augment queries automatically, disable search with MG_SEARCH_ENABLED=false. 5) Inspect scripts/install.sh and mg-daemon upstream source if you need to audit what the native daemon binary does when run with --serve. Overall the required permissions and behavior are proportional to the stated purpose.
Capability Analysis
Type: OpenClaw Skill
Name: memory-garden
Version: 1.0.0
The OpenClaw skill 'memory-garden' is designed for local-first knowledge management and exhibits strong security practices. It manages a local daemon (`mg-daemon`) with robust lifecycle handling, including symlink-protected PID file management and verification that only its own processes are terminated. Cryptographic identity management uses Ed25519 keys stored with strict permissions and includes replay protection for signed messages. Communication with the local daemon is via secure HTTP POST requests with JSON bodies, preventing shell injection. The `SKILL.md` and code do not contain any prompt injection attempts or evidence of intentional malicious behavior like data exfiltration, unauthorized remote control, or persistence mechanisms beyond its stated purpose. All external binary downloads are accompanied by SHA256 hashes, and sensitive operations are carefully handled with input validation and error recovery.
Capability Assessment
Purpose & Capability
Name/description match behavior: the skill runs a local 'mg-daemon', stores patterns under ~/.memory-garden, and provides search/extract/validate tools. The declared required binary (mg-daemon) and the code (daemon manager + MCP tool calls) are appropriate for a local-first memory service.
Instruction Scope
SKILL.md and code explicitly start and manage a local daemon, perform health checks, read/write under ~/.memory-garden, and optionally enable P2P sync. This is within scope, but note: the skill will generate and persist an Ed25519 private key (identity.json) under ~/.memory-garden/identity by default; that private key is sensitive and is used for signing P2P attestations. Also the runtime references additional env vars (MG_IDENTITY_DIR, MG_DATA_DIR) in code/docstrings that are not enumerated in the registry metadata — they are optional but affect where files are stored.
Install Mechanism
No installation spec is required by the registry entry, but SKILL.md metadata includes download entries pointing to GitHub releases for macOS and Linux with SHA256 sums — a well-known release host. Downloads are expected and reasonable for a native daemon binary. No arbitrary paste sites or IP URLs are used.
Credentials
The skill does not request unrelated cloud credentials. It reads configuration via MG_* env vars (MG_DAEMON_URL, MG_EXTRACTION_ENABLED, MG_EXTRACTION_CONFIRM, MG_SYNC_ENABLED, MG_SEARCH_LIMIT) documented in SKILL.md. The code also recognizes MG_IDENTITY_DIR and refers to MG_DATA_DIR in error messaging (these are optional). It generates and stores a private key locally (sensitive) — required for P2P signing, so justified, but the user should treat that artifact as a secret.
Persistence & Privilege
always:false (not force-included) and disable-model-invocation:false (normal). The skill will autonomously run beforeQuery/afterResponse hooks when invoked and may start a detached daemon process and write files to ~/.memory-garden. This level of persistence is expected for a local daemon skill; there is no indication it modifies other skills or system-wide agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install memory-garden - After installation, invoke the skill by name or use
/memory-garden - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Memory Garden
- Introduces N-count validated knowledge management for AI agents.
- Local-first design keeps patterns private unless you opt in to share.
- Supports macOS (arm64, amd64), Linux (amd64), and WSL2 for Windows.
- Features include pattern search, extraction, N-count tracking, and optional P2P sync.
- Fully configurable via environment variables; detailed installation and troubleshooting guides provided.
- Community-ready with focus on pattern validation, privacy, and trustworthy AI memory.
Metadata
Frequently Asked Questions
What is Memory Garden - Validated Community Memory?
N-count validated knowledge for AI agents. Patterns that prove themselves through repeated use. Local-first, community-ready. It is an AI Agent Skill for Claude Code / OpenClaw, with 272 downloads so far.
How do I install Memory Garden - Validated Community Memory?
Run "/install memory-garden" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Memory Garden - Validated Community Memory free?
Yes, Memory Garden - Validated Community Memory is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Memory Garden - Validated Community Memory support?
Memory Garden - Validated Community Memory is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Memory Garden - Validated Community Memory?
It is built and maintained by Lee Brown (@leegitw); the current version is v1.0.0.
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