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AChat

calendar_todayAdded Jan 28, 2026
categoryAgent & Tooling
codeOpen Source
PythonNode.jsDockerReactLangChainFastAPIMultimodalRAGPostgreSQLAI AgentsAgent FrameworkWeb ApplicationNatural Language ProcessingAgent & ToolingKnowledge Management, Retrieval & RAGSecurity & PrivacyEnterprise Applications & Office

An open-source, self-hosted, local-first AI platform designed for enterprises and teams, seamlessly combining powerful local processing capabilities with remote synchronization.

One-Minute Overview#

AChat is a team-level AI conversation management platform that enables enterprises to achieve efficient AI collaboration while protecting data privacy. If you need to manage team AI conversations, unify chat records, and provide commercial-grade support, this platform is the ideal solution.

Core Value: Implementing enterprise-level AI collaboration and management while ensuring data security.

Quick Start#

Installation Difficulty: Medium - Requires self-hosted deployment with documentation guidance

# For specific installation commands, refer to documentation
# Project documentation: https://github.com/AprilNEA/AChat

Is this suitable for me?

  • Team AI Collaboration: Need centralized management of team AI conversations with role-based access control
  • Data-Sensitive Environments: Require on-premises storage of AI conversations and data to protect enterprise privacy
  • Commercial AI Applications: Need built-in billing and payment features to manage AI usage costs
  • Personal Use: Primarily designed for enterprises and teams, may be overly complex for individual users
  • Pure Cloud Deployment: Emphasizes local-first approach, not suitable for pure cloud SaaS requirements

Core Capabilities#

1. Centralized AI Conversation Management#

  • Unified platform to manage all team AI dialogues for easy tracking and collaboration Actual Value: No more switching between tools, all AI conversations centralized, improving team efficiency

2. Structured Conversation History#

  • Effortlessly search, categorize, and revisit past AI interactions Actual Value: Important conversations are traceable, knowledge accumulation is preserved, and team experience can be shared

3. Commercial Support#

  • Built-in tools for AI usage billing, payment, and cost management Actual Value: Transparent AI usage costs, facilitating enterprise budget control and resource allocation

4. Team Collaboration Tools#

  • Role assignment, permission settings, and seamless collaboration features Actual Value: Team members can access according to needs, balancing security and flexibility

5. Data Privacy & Security#

  • Open-source design with robust data protection features Actual Value: Local data storage control, sensitive information doesn't leak, meeting compliance requirements

Maintenance Status#

  • Development Activity: Actively being developed, with V4 currently in progress
  • Version Evolution: Continuous upgrades from V1 to V4 with modernizing technology stack
  • Community Support: Has Twitter and Telegram channels for latest updates

Documentation & Learning Resources#

  • Documentation Quality: Basic documentation providing installation and configuration guides
  • Official Documentation: https://github.com/AprilNEA/AChat
  • Example Code: Unknown

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