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版本数
在 OpenClaw 中安装
/install palaia
功能描述
Local, crash-safe persistent memory for OpenClaw agents. SQLite-backed by default. Semantic search, projects, scopes, auto-capture. After installing or updat...
安全使用建议
This skill appears to be what it claims: a local persistent memory system that installs a Python CLI and wires an OpenClaw memory plugin. Before installing, consider: (1) Where data will be stored (.palaia directory) and what filesystem permissions/backups apply; (2) Whether auto-capture should be enabled for your workspace — set scope to private for sensitive data and avoid public/team if you don't want shared storage; (3) Verify the palaia package source/version (pip installs run package code during install); if you require higher assurance, inspect the package or install it in an isolated environment (container or VM) first; (4) Confirm organizational policies about storing conversational data and any retention/encryption settings offered by palaia. If you need, ask the maintainer/source of the palaia package or review the package repository before proceeding.
功能分析
Type: OpenClaw Skill
Name: palaia
Version: 2.7.3
The palaia skill bundle provides a comprehensive persistent memory system for OpenClaw agents using SQLite and semantic search. The SKILL.md documentation outlines legitimate features such as multi-agent synchronization, automated health checks via 'palaia doctor', and a local UI for memory management. Security-positive indicators include explicit warnings against storing secrets and instructions for the agent to seek user confirmation before performing destructive operations like data deletion.
能力评估
Purpose & Capability
Name/description (persistent agent memory) match the instructions and required binary: the SKILL.md purely installs/initializes the palaia CLI and the OpenClaw plugin and configures memory slots. Requested items (palaia binary, pip install) are appropriate for this purpose.
Instruction Scope
Instructions tell the agent to install packages, create a local .palaia store, run health checks, and enable an OpenClaw memory plugin. This is expected for a memory system, but it does explicitly enable auto-capture of conversations and recommends running doctor silently every load — users should be aware this will persist conversational context locally (and can be configured for team/public scopes).
Install Mechanism
No registry install spec in the package metadata, but the SKILL.md uses standard pip/pipx/uv commands (no unknown download hosts or archive extraction). This is a normal, low-risk install pattern for a Python CLI.
Credentials
The skill declares no environment variables, no external credentials, and no config paths. The instructions create a local .palaia directory which is consistent with a local memory store and does not request unrelated secrets or cloud credentials.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill asks to install/enable the memory plugin for OpenClaw, which is expected for persistent memory; it does not request elevated system-wide privileges or modify other skills' credentials.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install palaia - 安装完成后，直接呼叫该 Skill 的名称或使用
/palaia触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v2.7.3
Fixes: ContextEngine ownsCompaction flag, doctor phantom stale-task warnings, invisible entries with empty scope
v2.7.2
Claude Code onboarding: palaia setup claude-code command, doctor check, dedicated docs
v2.7.1
Documentation: palaia ui, palaia prune, capture health check, multi-agent docs
v2.7.0
WebUI memory explorer, codex audit fixes, doctor improvements
v2.6.0
Usage-data optimization, capture diagnostics, process safety, auto-capture workspace fix
v2.5.1
Fix: doctor report column alignment, SKILL.md postUpdateMessage updated to v2.5
v2.5.0
Agent Isolation Mode, Modern CLI Design System, Backup-Restore Fix
v2.4.0
Session Continuity v3, OpenClaw v2026.3.28 compat, privacy markers, recency boost, progressive disclosure, Codex review fixes
v2.3.6
Fix: no direct model loading in store.write/edit, race condition fix, doctor speedup
v2.3.5
Fix: no direct model loading in process_nudge — embed-server or cache only
v2.3.4
Fix: process_nudge now uses embed-server. CLI queries fast when server is running.
v2.3.3
Standard install = optimal performance: sqlite-vec bundled, embed-server auto-start
v2.3.2
Complete docs, palaia upgrade for all configs
v2.3.1
Complete docs for MCP server, sqlite-vec, embed-server. Doctor checks for optional features.
v2.3.0
MCP server for Claude Desktop/Cursor, embed-server socket transport for fast CLI queries, native sqlite-vec/pgvector vector search, expanded Storage & Search documentation
v2.2.3
Pre-start embed server at bootstrap for fast semantic queries (~0.3s instead of ~2s)
v2.2.2
Fix: detect stale binary after upgrade, multi-installer update guide
v2.2.1
Fix: fastembed as default install dependency, not optional
v2.2.0
SQLite default backend, injection priorities, knowledge curation, auto-capture improvements, multi-agent propagation, 11 smart nudges
v2.0.13
Fix: auto-capture feedback loop + palaia doctor cleanup
元数据
常见问题
Palaia 是什么？
Local, crash-safe persistent memory for OpenClaw agents. SQLite-backed by default. Semantic search, projects, scopes, auto-capture. After installing or updat... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 907 次。
如何安装 Palaia？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install palaia」即可一键安装，无需额外配置。
Palaia 是免费的吗？
是的，Palaia 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Palaia 支持哪些平台？
Palaia 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Palaia？
由 iret77（@iret77）开发并维护，当前版本 v2.7.3。
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