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
Crawler Summary
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
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
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 14, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 14, 2026
Vendor
Kenneylee
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Kenneylee
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
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"
Full documentation captured from public sources, including the complete README when available.
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
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。
# 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
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。
# 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
# 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
# 查看存档统计
python3 scripts/stats.py
skills/chat-archive/data/chat_archive.dbmessages 表存储所有消息"保存今天关于需求讨论的聊天记录"
python3 scripts/search_chat.py "决定" --days 30
python3 scripts/export_chat.py --days 1 --output meeting_2026-02-03.md
python3 scripts/search_chat.py "```python" --limit 10
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)
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)# 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
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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
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
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
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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.