Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计通过

telegram-agent-memoryTelegram Agent 记忆

Agent Skill

telegram-agent-memory 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

4,128

周安装

167

GitHub Stars

公开资料未说明

下载量

1,296
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:telegram-agent-memory(Telegram Agent 记忆)
来源仓库:https://github.com/may4vfx/telegram-agent-memory
安装命令:
openclaw skills install telegram-agent-memory
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 telegram-agent-memory

简介

AI Agent的长期 Telegram 记忆——搜索对话、获取摘要、提取决策。通过用户自己的帐户连接到任何 Telegram 频道。

SKILL.md

name
agent-memory
description
Long-term Telegram memory for AI agents — search conversations, get digests, extract decisions. Connects to any Telegram channel via user's own account.
version
0.2.0
metadata
openclaw
requires
env
bins
primaryEnv
AGENT_MEMORY_API_KEY

Agent Memory — Telegram Memory for AI Agents

Gives you persistent long-term memory across Telegram channels and groups. Search conversations, generate digests, extract decisions and action items.

First Run (if AGENT_MEMORY_API_KEY is not set)

When the user asks anything related to Telegram memory, channels, or this skill, and AGENT_MEMORY_API_KEY is not configured, walk them through setup:

  1. Tell the user: "To use Telegram memory, you need an API key. Open @AgentMemoryBot in Telegram: https://t.me/AgentMemoryBot"
  2. In the bot: press /start → 📱 Connect Telegram (share contact, enter reversed code) → 🔑 API Keys → ➕ Create Key
  3. Ask the user to paste the key (starts with amk_)
  4. Once they give you the key, save it to the OpenClaw config:
# Add to openclaw.json skills config
cat ~/.openclaw/openclaw.json | jq '.skills.entries["agent-memory"] = {"env": {"AGENT_MEMORY_API_KEY": "USER_KEY_HERE"}}' > /tmp/oc.json && mv /tmp/oc.json ~/.openclaw/openclaw.json

Or if openclaw.json doesn't exist or has no skills section, create it. Then tell the user to restart the OpenClaw session.

How to Use

All API calls use: Authorization: Bearer $AGENT_MEMORY_API_KEY Base URL: https://agent.ai-vfx.com

Search Memory

Find information across synced Telegram channels. Use for any question about channel content.

curl -s -X POST https://agent.ai-vfx.com/api/v1/memory/search \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AGENT_MEMORY_API_KEY" \
  -d '{"query": "what was discussed about topic X", "scope": "@channel", "limit": 10}'
  • scope: optional — @username for one channel, folder:Name for a folder, omit for all
  • Response: {"answer": "...", "sources": [{"url": "https://t.me/...", "channel": "..."}]}

List Sources

See which channels are connected.

curl -s https://agent.ai-vfx.com/api/v1/sources \
  -H "Authorization: Bearer $AGENT_MEMORY_API_KEY"

Add Source

Connect a new Telegram channel. User must have connected their Telegram in the bot first.

curl -s -X POST https://agent.ai-vfx.com/api/v1/sources/add \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AGENT_MEMORY_API_KEY" \
  -d '{"handle": "@channel_username", "sync_range": "1m"}'

sync_range options: 1w, 1m, 3m, 6m, 1y

Get Digest

Summarize conversations for a period.

curl -s -X POST https://agent.ai-vfx.com/api/v1/digest \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AGENT_MEMORY_API_KEY" \
  -d '{"scope": "@channel", "period": "7d"}'

period options: 1d, 3d, 7d, 30d

Extract Decisions

Get decisions, action items, and open questions.

curl -s -X POST https://agent.ai-vfx.com/api/v1/decisions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AGENT_MEMORY_API_KEY" \
  -d '{"scope": "@channel", "topic": "optional filter"}'

Sync Status

Check if channels are still syncing after add_source.

curl -s https://agent.ai-vfx.com/api/v1/sync-status \
  -H "Authorization: Bearer $AGENT_MEMORY_API_KEY"

Balance

Check remaining points.

curl -s https://agent.ai-vfx.com/api/v1/account/balance \
  -H "Authorization: Bearer $AGENT_MEMORY_API_KEY"

When to Use Which Operation

  • "What did they discuss about X?" → search with the topic as query
  • "What happened this week in @channel?" → digest with period=7d
  • "What decisions were made?" → decisions
  • "Connect @newchannel" → add_source, then wait and check sync_status
  • "What channels do I have?" → list_sources
  • "How many points left?" → balance

Costs

1 point ≈ $0.01. Search: 3 pts, Digest: 25 pts, Decisions: 12 pts. Top up via TON in @AgentMemoryBot.

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

87.08%
按下载量换算1,129

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。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

继续浏览同类 Skills