Crawler Summary

chat-archive answer-first brief

Save and search chat history from Telegram groups and sessions. Automatically archive messages to local SQLite database with full-text search support. --- name: chat-archive description: Save and search chat history from Telegram groups and sessions. Automatically archive messages to local SQLite database with full-text search support. --- Chat Archive - 聊天记录存档与搜索 功能概述 自动保存聊天记录到本地 SQLite 数据库,支持关键词搜索、时间范围筛选和导出功能。 安装与初始化 使用方法 1. 保存聊天记录 向 Agent 发送指令: Agent 会调用 sessions_history 工具获取消息,并保存到本地数据库。 2. 搜索聊天记录 3. 导出聊天记录 4. 查看统计 数据存储 - **数据库位置**: skills/chat-archive/data/cha Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Freshness

Last checked 4/14/2026

Best For

chat-archive is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 94/100

chat-archive

Save and search chat history from Telegram groups and sessions. Automatically archive messages to local SQLite database with full-text search support. --- name: chat-archive description: Save and search chat history from Telegram groups and sessions. Automatically archive messages to local SQLite database with full-text search support. --- Chat Archive - 聊天记录存档与搜索 功能概述 自动保存聊天记录到本地 SQLite 数据库,支持关键词搜索、时间范围筛选和导出功能。 安装与初始化 使用方法 1. 保存聊天记录 向 Agent 发送指令: Agent 会调用 sessions_history 工具获取消息,并保存到本地数据库。 2. 搜索聊天记录 3. 导出聊天记录 4. 查看统计 数据存储 - **数据库位置**: skills/chat-archive/data/cha

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Apr 14, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 14, 2026

Vendor

Kenneylee

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

Setup snapshot

git clone https://github.com/kenneyLee/openclaw-chat-archive.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Kenneylee

profilemedium
Observed Apr 14, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 14, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

# 1. 进入 skill 目录
cd /home/wshi3788/clawd/skills/chat-archive

# 2. 初始化数据库
python3 scripts/init_db.py

text

保存我们最近的聊天记录

bash

# 搜索关键词
python3 scripts/search_chat.py "数据库设计"

# 搜索最近7天
python3 scripts/search_chat.py "API" --days 7

# 导出搜索结果
python3 scripts/search_chat.py "会议" --export results.md

bash

# 导出为 Markdown
python3 scripts/export_chat.py --output backup.md --days 30

# 导出为 JSON
python3 scripts/export_chat.py --format json --output backup.json

# 导出所有消息
python3 scripts/export_chat.py --limit 1000

bash

# 查看存档统计
python3 scripts/stats.py

text

"保存今天关于需求讨论的聊天记录"

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Save and search chat history from Telegram groups and sessions. Automatically archive messages to local SQLite database with full-text search support. --- name: chat-archive description: Save and search chat history from Telegram groups and sessions. Automatically archive messages to local SQLite database with full-text search support. --- Chat Archive - 聊天记录存档与搜索 功能概述 自动保存聊天记录到本地 SQLite 数据库,支持关键词搜索、时间范围筛选和导出功能。 安装与初始化 使用方法 1. 保存聊天记录 向 Agent 发送指令: Agent 会调用 sessions_history 工具获取消息,并保存到本地数据库。 2. 搜索聊天记录 3. 导出聊天记录 4. 查看统计 数据存储 - **数据库位置**: skills/chat-archive/data/cha

Full README

name: chat-archive description: Save and search chat history from Telegram groups and sessions. Automatically archive messages to local SQLite database with full-text search support.

Chat Archive - 聊天记录存档与搜索

功能概述

自动保存聊天记录到本地 SQLite 数据库,支持关键词搜索、时间范围筛选和导出功能。

安装与初始化

# 1. 进入 skill 目录
cd /home/wshi3788/clawd/skills/chat-archive

# 2. 初始化数据库
python3 scripts/init_db.py

使用方法

1. 保存聊天记录

向 Agent 发送指令:

保存我们最近的聊天记录

Agent 会调用 sessions_history 工具获取消息,并保存到本地数据库。

2. 搜索聊天记录

# 搜索关键词
python3 scripts/search_chat.py "数据库设计"

# 搜索最近7天
python3 scripts/search_chat.py "API" --days 7

# 导出搜索结果
python3 scripts/search_chat.py "会议" --export results.md

3. 导出聊天记录

# 导出为 Markdown
python3 scripts/export_chat.py --output backup.md --days 30

# 导出为 JSON
python3 scripts/export_chat.py --format json --output backup.json

# 导出所有消息
python3 scripts/export_chat.py --limit 1000

4. 查看统计

# 查看存档统计
python3 scripts/stats.py

数据存储

  • 数据库位置: skills/chat-archive/data/chat_archive.db
  • 表结构: messages 表存储所有消息
  • 索引: 支持按会话、时间、内容搜索

常用场景

场景1:保存重要讨论

"保存今天关于需求讨论的聊天记录"

场景2:查找之前的决定

python3 scripts/search_chat.py "决定" --days 30

场景3:导出会议记录

python3 scripts/export_chat.py --days 1 --output meeting_2026-02-03.md

场景4:搜索代码片段

python3 scripts/search_chat.py "```python" --limit 10

API 参考

数据库表结构

messages:
  - id: INTEGER PRIMARY KEY
  - session_key: TEXT (会话标识)
  - session_name: TEXT (会话名称)
  - timestamp: INTEGER (时间戳毫秒)
  - datetime: TEXT (可读时间)
  - role: TEXT (user/assistant)
  - author: TEXT (作者)
  - content: TEXT (消息内容)
  - message_id: TEXT (消息ID)
  - created_at: TIMESTAMP (存档时间)

脚本参数

search_chat.py

  • keyword: 搜索关键词(必填)
  • --days: 搜索最近 N 天
  • --session: 指定会话 key
  • --limit: 结果数量限制(默认50)
  • --export: 导出到文件

export_chat.py

  • --output: 输出文件路径
  • --days: 导出最近 N 天
  • --session: 指定会话
  • --limit: 消息数量限制(默认500)
  • --format: 格式 (markdown/json)

注意事项

  1. 数据库文件存储在本地,定期备份重要数据
  2. 搜索使用 SQLite LIKE 匹配,支持模糊搜索
  3. 导出大量消息时可能需要较长时间
  4. 可以通过 cron 定时任务自动备份

自动化备份示例

# 每天凌晨备份昨天的聊天记录
0 2 * * * cd /home/wshi3788/clawd/skills/chat-archive && python3 scripts/save_chat.py --limit 1000

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/snapshot"
curl -s "https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/contract"
curl -s "https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T05:54:13.799Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Kenneylee",
    "href": "https://github.com/kenneyLee/openclaw-chat-archive",
    "sourceUrl": "https://github.com/kenneyLee/openclaw-chat-archive",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:24:51.907Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:24:51.907Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/kenneylee-openclaw-chat-archive/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to chat-archive and adjacent AI workflows.