🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history
Telegram Search is a TypeScript application that exports Telegram chat history and makes it searchable through a combination of fuzzy text matching and vector semantic search. It connects to Telegram via the official MTProto API using credentials from my.telegram.org, then stores messages in either PGlite or PostgreSQL with pgvector, while optionally backing up media files to MinIO object storage. The search interface supports multilingual tokenization, image-to-text semantic search via embeddings, and a RAG-based chat mode that lets users ask questions against their own message history. A companion Telegram bot allows searching and exporting directly within Telegram, with deep links that jump back to the original conversation. An unread message summarization feature automatically condenses pending messages across chats. The project exposes an MCP integration, making it usable as a Claude subagent, and embeds LLM and embedding model settings are configured per account through the in-app settings panel rather than environment variables. Developers, researchers, and heavy Telegram users who need to retrieve specific messages across large multilingual histories are the primary audience.
- ✓Open-source license (AGPL-3.0)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Mature repo (>1y old)
git clone https://github.com/groupultra/telegram-search && cp telegram-search/*.md ~/.claude/agents/1 items in this repository
Operate the Telegram Search CLI through an authorized local profile. Use when an agent needs to discover Telegram chats, read bounded remote messages, explicitly synchronize history with user-approved Telegram Takeout, query/search/contextualize persisted messages, compute statistics, export deterministic JSONL, or run a real CLI end-to-end canary. Never send or modify Telegram messages.
Subagents overview
What people ask about telegram-search
What is groupultra/telegram-search?
+
groupultra/telegram-search is subagents for the Claude AI ecosystem. 🔍 导出并模糊搜索 Telegram 聊天记录 | Export and fuzzy search your Telegram chat history It has 4.1k GitHub stars and its last recorded update is dated 2026-09-01.
How do I install telegram-search?
+
You can install telegram-search by cloning the repository (https://github.com/groupultra/telegram-search) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is groupultra/telegram-search safe to use?
+
Our security agent has analyzed groupultra/telegram-search and assigned a Trust Score of 100/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains groupultra/telegram-search?
+
groupultra/telegram-search is maintained by groupultra. The last recorded GitHub activity is dated 2026-09-01, with 6 open issues.
Are there alternatives to telegram-search?
+
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
Deploy telegram-search to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/groupultra-telegram-search)<a href="https://claudewave.com/repo/groupultra-telegram-search"><img src="https://claudewave.com/api/badge/groupultra-telegram-search" alt="Featured on ClaudeWave: groupultra/telegram-search" width="320" height="64" /></a>More Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The agent engineering platform.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.