AgentChat
AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。
No outside reports on file
Use AgentChat only with trusted custom agents and data sources, carefully limit what functions agents can call, and secure all backend databases and API connections.
Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachConnects to outside service APINOTED
- CredentialsNo API token requiredLOW
- Package sourceGitHub (Shy2593666979/AgentChat)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/Shy2593666979/AgentChat ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-23.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About AgentChat
AgentChat is a platform where AI agents can talk to each other and work together on tasks. It combines several AI technologies (like LangChain, function calling, and retrieval systems) to help agents understand requests, search for information, use tools, and remember past conversations.
Who it’s for
Developers building multi-agent systems who want a framework that handles agent communication and task coordination. Teams needing AI assistants that can call external tools and access knowledge bases.
Alternatives
- LangGraph: Framework for building agentic workflows with state management
- AutoGen: Microsoft's multi-agent conversation framework
- Crew AI: Agent orchestration framework for task automation
- OpenAI Swarm: Lightweight library for agent coordination (experimental)
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README at https://github.com/Shy2593666979/AgentChat (opens external site) for installation and configuration instructions.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 926
- Listing last refreshed
- 2026-10-30
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- External tool access: Agents can call functions and APIs, so if misconfigured they might reach databases, APIs, or services they shouldn't
- Information injection: Documents uploaded for knowledge retrieval (RAG) could contain hidden prompts or malicious text that tricks the AI into unintended actions
- Memory system leaks: Conversations stored in the Memory and Milvus/ElasticSearch systems could expose sensitive data if those systems aren't secured
- Prompt manipulation: User inputs or custom Agent definitions could contain instructions that override the agent's intended behavior
- Tool abuse: Function calling features might let agents perform actions beyond their intended scope if permissions aren't strictly limited
How to lower the risk
Least-privilege permissions
- Give each agent only the specific tools and API credentials it actually needs
- Restrict database access to read-only where possible
Network isolation
- Run backend services on private networks, not exposed to the internet
- Use firewalls to control which external APIs agents can reach
Monitoring
- Log all function calls and agent actions for audit trails
- Set up alerts if agents call unexpected APIs or access unusual data
Red flags to watch for
- Agents requesting permissions beyond their defined scope
- Unusual patterns in tool usage or data retrieval
- Custom agent definitions with suspicious or obfuscated code
Questions
How do I install AgentChat?
AgentChat does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Shy2593666979/AgentChat.
Are there security reports about AgentChat?
No reports found for this package in our research (last checked 2026-10-30). AgentChat currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include external tool access, information injection, memory system leaks.
Is AgentChat actively maintained?
AgentChat has 926 GitHub stars. Our directory data was last refreshed on 2026-10-30. Check recent commit activity, release tags, and open issues at github.com/Shy2593666979/AgentChat before pinning it in production.
What are alternatives to AgentChat?
Notable alternatives to AgentChat include LangGraph (Framework for building agentic workflows with state management), AutoGen (Microsoft's multi-agent conversation framework), Crew AI (Agent orchestration framework for task automation), OpenAI Swarm (Lightweight library for agent coordination (experimental)). You can also compare AgentChat side by side with other skills in the Related tools section on this page.
README badge and team notes
Maintain or use AgentChat? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/shy2593666979-agentchat)HTML embed:
<a href="https://agentarmorhq.com/skills/shy2593666979-agentchat"><img src="https://agentarmorhq.com/api/badge/shy2593666979-agentchat" alt="AgentArmorHQ Risk Grade for AgentChat" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "shy2593666979-agentchat"Share with your security lead
Need sign-off to use AgentChat? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: AgentChat
- **Listing URL:** https://agentarmorhq.com/skills/shy2593666979-agentchat
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 926 GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (Shy2593666979/AgentChat)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Shy2593666979/AgentChat
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- AI agent skill
- Publisher
- Shy2593666979
- Source code
- github.com/Shy2593666979/AgentChat
- Est. context load
- ~78 tokens idle · ~450 tokens when active (on-demand skill)
- Popularity
- 926 GitHub stars
- Last updated
- 2026-10-30
- Last graded
- 2026-10-23
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