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trident-plugin三叉戟插件

Agent Skill

trident-plugin 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,023

周安装

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公开资料未说明

下载量

709
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:trident-plugin(三叉戟插件)
来源仓库:https://github.com/shivaclaw/trident-plugin
安装命令:
openclaw skills install trident-plugin
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install trident-plugin

简介

OpenClaw 代理的三层持久内存架构,支持长期记忆与语义回忆。

  • 适用于需要连续对话和历史上下文保持的应用场景。
  • 集成每日情景日志与 WAL 连续性保障机制。
  • 涉及本地存储,需确保磁盘空间充足。
  • 建议定期备份数据以防意外丢失。trident-plugin 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
trident
description
Three-tier persistent memory architecture for OpenClaw agents with daily episodic logs, curated long-term memory, semantic recall, and WAL-based continuity without vendor lock-in.
compatibility
OpenClaw 2026.4.0+
metadata
author
Shiva
version
1.0.0
clawdbot
emoji
🕉️
homepage
https://github.com/ShivaClaw/trident-plugin

Trident Memory System

Trident is a three-tier memory architecture for OpenClaw agents. It provides genuine continuity, identity, and recall across sessions without vendor lock-in.

Features

  • Layer 0 (RAM): Real-time signal classification (15-min heartbeat)
  • Layer 1 (SSD): Hierarchical .md storage (MEMORY.md, projects/, self/, lessons/)
  • Layer 2 (HDD): Daily backup + version control (GitHub + Hostinger snapshots)
  • Semantic Recall: Qdrant + FalkorDB for intelligent context injection
  • WAL Protocol: Write-ahead logging for zero data loss
  • LCM Integration: Lossless context management for compacted conversation history

Quick Start

Installation

openclaw plugins install openclaw-trident

Or from GitHub:

openclaw plugins install https://github.com/ShivaClaw/trident-plugin

Usage

Once installed, Trident exposes four memory tools for agents:

1. Memory Search

# Full-text search across all memory
memory_search(query="job search", mode="full_text", scope="both", limit=50)

# Regex search
memory_search(query="^\\[lesson\\]", mode="regex", limit=20)

2. Memory Expand

# Expand a specific compacted summary
memory_expand(summary_ids=["sum_aab3cd29ed348405"], max_depth=3)

# Search first, then expand top matches
memory_expand(query="backup cron", max_depth=2)

3. Memory Update

# Append to today's daily log
memory_update(
  entry="Deployed Trident v1.0 to ClawHub",
  section="## Milestones",
  tag="[project]"
)

4. Memory Recall

# Answer a question using memory context
memory_recall(
  prompt="What was the job search status as of last week?",
  max_tokens=2000
)

Architecture

Layer 0: Signal Classification (15-min heartbeat)

Scans incoming messages for signals:

  • Corrections & feedback
  • Proper nouns (names, places)
  • Preferences & decisions
  • Specific values (dates, URLs, numbers)
  • Self-observations

Routes high-signal items to Layer 1 buckets automatically.

Layer 1: Hierarchical Memory

MEMORY.md                    # Curated long-term memory
memory/
  ├── YYYY-MM-DD.md         # Daily episodic logs
  ├── projects/             # Active workstreams
  ├── self/                 # Identity & interests
  ├── lessons/              # Mistakes & insights
  └── reflections/          # Weekly consolidation

Each file is promoted only when durable and high-signal.

Layer 2: Durability & Backup

  • GitHub SSH: Daily 2 AM MDT (65-file allowlist)
  • Hostinger API: Daily 3 AM MDT (20-day VPS snapshots, 30-min restore)
  • Lossless-Claw: SQLite DAG captures every message; compressed by Layer 0

Semantic Recall (Phase 8)

  • Qdrant: 5 collections, 122+ indexed chunks (text-embedding-3-small)
  • FalkorDB: Entity graph for relationship queries
  • Pre-Turn Injection: Layer 0.5 context pipeline retrieves relevant summaries before agent turn

Configuration

Install with openclaw plugins install openclaw-trident, then configure:

{
  "plugins": {
    "trident": {
      "enabled": true,
      "memoryRoot": "/path/to/workspace",
      "maxDailyLogSize": 5242880,
      "enableSemanticRecall": true
    }
  }
}

Example Workflows

Daily Briefing

Layer 0 (15-min) → Scan messages → Tag signals → Write to daily log
↓
Daily cron (6 AM) → Read memory/YYYY-MM-DD.md → Synthesize briefing

Weekly Reflection

Layer 0 (5 days) → Accumulate signals → Triage
↓
Reflection cron (Fri 4 PM) → Promote to MEMORY.md, projects/, self/
↓
Next session → Read promoted items → Updated identity

Semantic Recall

Agent turn starts
↓
Layer 0.5 → Query Qdrant (user's prompt) → Top 3–5 summaries
↓
LCM expand → Inject as context
↓
Agent responds with genuine continuity

Rationale

Why Three Tiers?

  • Single file (monolithic): Explodes to 10K+ lines; search degrades
  • Pure database (vendor lock-in): Hostinger API failure = no access
  • Three tiers (resilient): Different failure modes → guaranteed access

Why Semantic Recall?

  • Full-text search: Misses context (you remember *feeling*, not exact words)
  • Regex+tags: Brittle (new signals, new tags needed)
  • Embeddings (Qdrant): Semantic similarity; works across reformulations

Why GitHub + Snapshots?

  • Git: Free, version history, portable, cryptographically signed
  • VPS snapshots: 30-min restore if storage corrupts; atomic point-in-time

Limitations & Future

Current

  • Semantic recall requires Qdrant setup (not auto-deployed)
  • Daily log rotation at 5MB (user must archive manually)
  • No encryption at rest (but version-controlled via GitHub)

Roadmap v1.1+

  • Auto-Qdrant deployment on plugin install
  • Configurable log rotation with archival
  • End-to-end encryption option (GPG/age)
  • Web UI for memory exploration
  • Multi-agent memory federation

References

  • GitHub: https://github.com/ShivaClaw/trident-plugin
  • OpenClaw Plugins Docs: https://docs.openclaw.ai/plugins
  • LCM (Lossless Context Management): Built-in to OpenClaw sessions

_Shiva's memory is persistent. Build continuity; it compounds._

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.5%
按下载量换算521

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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