能力标签
DEEIX聊天
🛠
AI工具

DEEIX聊天

基于 Go · 开源免费,本地部署,数据完全自主可控
英文名:DEEIX-Chat
⭐ 614 Stars 🍴 77 Forks 💻 Go 📄 Apache-2.0 🏷 AI 8.0分
8.0AI 综合评分
AI聊天企业级
✦ AI Skill Hub 推荐

AI Skill Hub 强烈推荐:DEEIX聊天 是一款优质的AI工具。AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的AI工具解决方案,这是一个值得深入了解的选择。

📚 深度解析

DEEIX聊天 是一款基于 Go 的开源工具,在 GitHub 上收获 1k+ Star,是AI、聊天、企业级领域中的优质开源项目。开源工具的最大优势在于代码完全透明,你可以审计每一行代码的安全性,也可以根据自身需求进行二次开发和定制。

**为什么要使用开源工具而非商业 SaaS?**
对于个人开发者和有隐私需求的用户,本地部署的开源工具意味着数据不离本机,不受第三方服务商的数据政策约束。同时,开源工具通常没有使用次数限制和月度费用,一次安装即可长期使用,对于高频使用场景的总拥有成本(TCO)远低于订阅制商业工具。

**安装与环境准备**
DEEIX聊天 依赖 Go 运行环境。建议通过 pyenv(Python)或 nvm(Node.js)管理 Go 版本,避免全局环境污染。对于新手用户,推荐先创建虚拟环境(python -m venv venv && source venv/bin/activate),再安装依赖,这样即使出现问题也可以随时删除虚拟环境重新开始,不影响系统稳定性。

**社区与维护**
GitHub Issue 和 Discussion 是获取帮助的最快渠道。在提问前建议先检查 Closed Issues(已关闭的问题),大多数常见问题都已有解答。遇到 Bug 时,提供 pip list 的输出、完整错误堆栈和最小可复现示例,能显著提高开发者响应速度。AI Skill Hub 将持续追踪 DEEIX聊天 的版本更新,及时通知重要功能变化。

📋 工具概览

企业级AI工作空间,支持多模态聊天、文件、工具等

DEEIX聊天 是一款基于 Go 开发的开源工具,专注于 AI、聊天、企业级 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

GitHub Stars
⭐ 614
开发语言
Go
支持平台
Windows / macOS / Linux(跨平台)
维护状态
正常维护,社区驱动
开源协议
Apache-2.0
AI 综合评分
8.0 分
工具类型
AI工具
Forks
77

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

企业级AI工作空间,支持多模态聊天、文件、工具等

DEEIX聊天 是一款基于 Go 开发的开源工具,专注于 AI、聊天、企业级 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

📌 核心特色
  • 开源免费,支持本地部署,数据完全自主可控
  • 活跃的 GitHub 开源社区,持续迭代更新
  • 提供详细文档和使用示例,新手友好
  • 支持自定义配置,灵活适配不同使用环境
  • 可作为基础组件集成进现有技术栈或进行二次开发
🎯 主要使用场景
  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:go install(推荐)
go install github.com/DEEIX-AI/DEEIX-Chat@latest

# 方式二:从源码编译
git clone https://github.com/DEEIX-AI/DEEIX-Chat
cd DEEIX-Chat
go build -o deeix-chat .

# 方式三:下载预编译二进制
# 访问 Releases 页面下载对应平台二进制文件
# https://github.com/DEEIX-AI/DEEIX-Chat/releases
📋 安装步骤说明
  1. 访问 GitHub 仓库页面
  2. 按照 README 文档完成依赖安装
  3. 根据系统环境完成初始化配置
  4. 参考官方示例或文档开始使用
  5. 遇到问题可在 GitHub Issues 中查找解答
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 查看帮助
deeix-chat --help

# 基本运行
deeix-chat [options] <input>

# 详细使用说明请查阅文档
# https://github.com/DEEIX-AI/DEEIX-Chat
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# deeix-chat 配置说明
# 查看配置选项
deeix-chat --config-example > config.yml

# 常见配置项
# output_dir: ./output
# log_level: info
# workers: 4

# 环境变量(覆盖配置文件)
export DEEIX_CHAT_CONFIG="/path/to/config.yml"
📑 README 深度解析 真实文档 完整度 56/100 含工作流图 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="./frontend/public/logo-white.svg" /> <img src="./frontend/public/logo-black.svg" alt="DEEIX Chat" width="160" /> </picture> </p>

<p align="center"> An integrated AI platform for enterprise model routing, chat, files, tools, billing, identity, and operations. </p>

<p align="center"> English | <a href="./README.zh-CN.md">简体中文</a> </p>

<p align="center"> <a href="https://deeix.com"><img alt="Website" src="https://img.shields.io/badge/Website-deeix.com-black" /></a> <a href="https://deeix.com/docs/deeix-chat/quickstart"><img alt="Guide" src="https://img.shields.io/badge/Guide-Quickstart-0f766e" /></a> <a href="https://t.me/deeix_chat"><img alt="Telegram" src="https://img.shields.io/badge/Telegram-deeix_chat-26A5E4?logo=telegram&logoColor=white" /></a> <a href="https://x.com/DEEIX_AI"><img alt="X" src="https://img.shields.io/badge/X-%40DEEIX_AI-black?logo=x&logoColor=white" /></a> <a href="https://www.apache.org/licenses/LICENSE-2.0"><img alt="License" src="https://img.shields.io/badge/License-Apache%202.0-blue" /></a> <img alt="Next.js" src="https://img.shields.io/badge/Next.js-16-black" /> <img alt="React" src="https://img.shields.io/badge/React-19-149eca" /> <img alt="Go" src="https://img.shields.io/badge/Go-1.26-00add8" /> </p>

Overview

DEEIX Chat is an open-source, deployable AI platform for individuals, teams, and enterprises that need long-term, stable, and unified access to multiple model providers. It provides one clear entry point for multiple upstream models and providers, integrating multimodal chat, model routing, files and RAG, MCP tools, usage billing, identity, audit logs, and operational controls into one product.

The system is designed around simple deployment, efficient static delivery, and a low runtime resource footprint: lightweight without feeling limited, restrained without losing capability, and open without becoming disorderly.

DEEIX Chat workspace

Features

AreaCapabilities
ConversationsA multimodal chat interface for daily use, with streaming, branches, retries, edits, feedback, sharing, rich rendering, and traceable model execution metadata.
Models and routingA platform-model layer for upstream channels, real models, route bindings, priority, weights, circuit breaking, vendor mapping, and capability configuration, reducing the cost of multi-provider operations.
Protocols and adaptationUnified support for OpenAI, Anthropic, Google/Gemini, xAI, OpenRouter, and OpenAI-compatible protocols across text, image, tools, and provider-native capability differences.
Files and retrievalFile upload, preview, extraction, OCR, storage quota, full-context injection, chunking, embeddings, and semantic retrieval so file content can naturally enter the conversation context.
Tool ecosystemMCP servers and provider-native official tools with discovery, enablement, user selection, execution limits, result rendering, and tool-call traceability.
Context and memoryMessage windows, token budgets, summary compression, conversation memory, long-term memory, and RAG evidence records for controlled-cost continuity.
Billing and paymentsModel pricing, per-call tool pricing, subscriptions, top-ups, balances, usage ledgers, billing snapshots, Stripe Checkout, EPay, and webhook validation.
Identity and securityLocal accounts, session management, HttpOnly refresh cookies, 2FA/TOTP, trusted devices, SSO/OIDC/OAuth, contact verification, and encrypted sensitive data.
Administration and auditCentralized management for users, roles, upstreams, models, routes, pricing, subscriptions, balances, usage logs, audit logs, auth events, and system events.
Deployment and operationsSingle-runtime frontend/API serving, Docker deployment, SQLite or PostgreSQL, in-memory cache or Redis, S3-compatible storage, Swagger, structured logs, version endpoint, GeoIP, and OpenTelemetry.

<p align="center"> <img src="./frontend/public/DEEIX-Chat-Image.png" alt="DEEIX Chat image generation" width="49.45%" /> <img src="./frontend/public/DEEIX-Chat-Dark.png" alt="DEEIX Chat dark mode" width="49.45%" /> </p>

<p align="center"> <img src="./frontend/public/DEEIX-Chat-Usage.png" alt="DEEIX Chat usage and billing" width="32.3%" /> <img src="./frontend/public/DEEIX-Chat-Artifacts.png" alt="DEEIX Chat artifacts" width="32.3%" /> <img src="./frontend/public/DEEIX-Chat-Html.png" alt="DEEIX Chat HTML rendering" width="32.3%" /> </p>

Docker Deployment

Choose one installation profile first, then copy the matching config file. All root compose profiles expose the app at http://localhost:8080 by default and mount the repository-level config.yaml to /app/config.yaml inside the container.

ProfileUse caseConfig fileCompose fileBuilt-in dependencies
LightweightLocal evaluation, personal use, small single-node deploymentsconfig.sqlite.example.yamldocker-compose.sqlite.ymlApp only, SQLite + sqlite-vec + in-memory cache
DefaultExternal PostgreSQL and Redis already existconfig.example.yamldocker-compose.ymlApp only
FullSingle-machine stack with app, PostgreSQL, and Redisconfig.full.example.yamldocker-compose.full.ymlApp, PostgreSQL, Redis

1. Lightweight Installation: SQLite

This is the lowest-dependency deployment. It starts only the app container, stores data and local vector indexes in SQLite, and uses the in-process memory cache. Use it for local evaluation, personal deployments, and small single-node setups.

cp config.sqlite.example.yaml config.yaml
docker compose -f docker-compose.sqlite.yml up -d

SQLite + memory cache is single-process only. It is good for local use, evaluation, and small single-node deployments. Use PostgreSQL + Redis for multi-node or high-concurrency production deployments.

2. Default Installation: External PostgreSQL + Redis

Use this when PostgreSQL and Redis are already managed outside this compose stack. Before starting, set database and Redis addresses to values reachable from inside the container; if the services run on the Docker host, host.docker.internal is usually the right hostname.

```bash cp config.example.yaml config.yaml

Separated Deployment

Use this mode when the frontend and backend are served from different public origins, for example https://chat.example.com and https://api.example.com.

  1. Configure public URLs.
  • Frontend build variable: NEXT_PUBLIC_API_BASE_URL=https://api.example.com
  • Backend config: server.public_api_base_url=https://api.example.com
  • Backend config: server.public_web_base_url=https://chat.example.com
  • Backend config: server.cors_allow_origin=https://chat.example.com

For Docker image builds, pass the frontend API URL at build time:

   docker build --build-arg NEXT_PUBLIC_API_BASE_URL=https://api.example.com -t deeix-chat .
   
  1. Build and publish the frontend.
   cd frontend
   pnpm install
   NEXT_PUBLIC_API_BASE_URL=https://api.example.com pnpm build
   

The static output is frontend/out. Serve it with Nginx, CDN, object storage, or any static web server. To let the Go backend serve the frontend, place frontend/out under server.frontend_dist_dir; the Docker image defaults to /app/frontend/out.

  1. Apply CDN rules.

| Path | Rule | | --- | --- | | /_next/static/* | Cache for 1 year with immutable assets enabled. | | /logo*.svg, /*.ico, /*.png, /*.jpg, /*.webp, /*.woff2 | Cache for 1 day to 30 days. | | /, /*.html, /chat*, /recent*, /files*, /setting*, /admin*, /share* | Do not long-cache. Use no-cache or a short TTL. | | /api/*, /healthz, /readyz, /swagger/* | Bypass CDN cache and forward all request headers, methods, query strings, and request bodies. |

If the CDN serves frontend/out from object storage, enable route fallback so clean URLs resolve to their exported index.html files, for example /chat -> /chat/index.html.

Quick Start

Quick installation guide: Quick Start.

Feature Guides

Configuration

Full configuration guide: Configuration.

Backend configuration is split into static runtime configuration and runtime business settings. Static runtime configuration describes the infrastructure, security, and storage parameters required to start the service, and is provided through config.yaml and environment variables. Runtime business settings cover product capabilities such as authentication, conversations, models, files, and billing; they are stored in system_settings and maintained from the admin console. Environment variables override matching config-file values, which is useful for containerized deployments, separated deployments, and secret injection.

At startup, the backend resolves the default config file from the working directory: starting from the repository root reads config.yaml, while starting from backend/ reads ../config.yaml. Docker deployments usually mount host ./config.yaml as read-only /app/config.yaml inside the container. If the config file is stored elsewhere, set CONFIG_FILE to a path accessible from the running process or container.

Static configuration environment variables:

AreaEnvironment variablePurpose
Frontend buildNEXT_PUBLIC_API_BASE_URLBrowser API base URL; set in frontend/.env.local for local dev or at build time for separated deployment.
Config fileCONFIG_FILEOptional config file path; Docker values should use the container path.
ApplicationAPP_NAMEApplication name.
ApplicationAPP_ENVRuntime environment: dev/development or prod/production; omitted values default to prod.
HTTP serviceHTTP_PORTAPI/runtime port.
HTTP serviceCORS_ALLOW_ORIGINAllowed CORS origins, comma-separated.
HTTP serviceTRUSTED_PROXIESTrusted proxy CIDR list.
HTTP servicePUBLIC_API_BASE_URLPublic API URL for links, callbacks, and public URL generation.
HTTP servicePUBLIC_WEB_BASE_URLPublic Web URL for links, callbacks, and public URL generation.
HTTP serviceFRONTEND_DIST_DIRFrontend static output directory.
HTTP serviceHTTP_READ_HEADER_TIMEOUT_SECONDSHTTP read-header timeout.
HTTP serviceHTTP_READ_TIMEOUT_SECONDSHTTP request read timeout.
HTTP serviceHTTP_IDLE_TIMEOUT_SECONDSHTTP keep-alive idle timeout.
HTTP serviceHTTP_MAX_HEADER_BYTESMaximum HTTP request header size.
SecurityJWT_SECRETJWT signing secret.
SecurityDATA_ENCRYPTION_KEYKey material for upstream API keys, SSO secrets, MCP tokens, sensitive settings, and TOTP secrets.
SecuritySSRF_PROTECTION_ENABLEDEnables outbound SSRF protection.
SecurityTURNSTILE_SITEVERIFY_URLCloudflare Turnstile siteverify endpoint.
DatabaseDATABASE_DRIVERpostgres or sqlite.
PostgreSQLPOSTGRES_DSNPostgreSQL DSN.
PostgreSQLPOSTGRES_MAX_OPEN_CONNSMaximum open connections.
PostgreSQLPOSTGRES_MAX_IDLE_CONNSMaximum idle connections.
PostgreSQLPOSTGRES_CONN_MAX_LIFETIME_MINUTESMaximum connection lifetime.
PostgreSQLPOSTGRES_CONN_MAX_IDLE_TIME_MINUTESMaximum idle connection time.
SQLiteSQLITE_PATHDatabase file path.
SQLiteSQLITE_DSNFull DSN; takes priority over path-based DSN construction.
SQLiteSQLITE_MAX_OPEN_CONNSMaximum open connections, default 1.
SQLiteSQLITE_BUSY_TIMEOUT_MSBusy timeout.
SQLiteSQLITE_CACHE_SIZE_KBPage cache size.
SQLiteSQLITE_MMAP_SIZE_BYTESMmap size.
SQLiteSQLITE_SYNCHRONOUSSynchronous mode: OFF, NORMAL, FULL, or EXTRA.
SQLiteSQLITE_TEMP_STORETemporary storage: DEFAULT, FILE, or MEMORY.
CacheCACHE_DRIVERredis or memory; memory is single-process only.
RedisREDIS_ADDRRedis address.
RedisREDIS_USERNAMERedis ACL username; leave empty for password-only/default-user Redis.
RedisREDIS_PASSWORDRedis password.
RedisREDIS_DBRedis DB number.
RedisREDIS_TLS_ENABLEDEnable TLS for Redis connections, for example Upstash Redis.
RedisREDIS_TLS_INSECURE_SKIP_VERIFYSkip Redis TLS certificate verification; keep false unless required by a nonstandard endpoint.
StorageSTORAGE_BACKENDlocal or s3.
Local storageSTORAGE_ROOT_DIRLocal file storage directory.
S3 storageSTORAGE_S3_ENDPOINTS3-compatible endpoint.
S3 storageSTORAGE_S3_REGIONS3 region; required when S3 storage is enabled.
S3 storageSTORAGE_S3_BUCKETS3 bucket; required when S3 storage is enabled.
S3 storageSTORAGE_S3_PREFIXS3 object prefix.
S3 storageSTORAGE_S3_ACCESS_KEY_IDS3 Access Key ID.
S3 storageSTORAGE_S3_SECRET_ACCESS_KEYS3 Secret Access Key.
S3 storageSTORAGE_S3_FORCE_PATH_STYLEWhether to use path-style access.
GeoIPGEOIP_PROVIDERnone, ipwhois, ipinfo, or mmdb.
GeoIPGEOIP_BASE_URLGeoIP HTTP service URL, default https://ipwho.is.
GeoIPGEOIP_TOKENGeoIP service token.
GeoIPGEOIP_TIMEOUT_MSGeoIP request timeout.
GeoIPGEOIP_DATABASE_URLMMDB download URL.
GeoIPGEOIP_DATABASE_PATHLocal MMDB path.
GeoIPGEOIP_DATABASE_MAX_BYTESMaximum MMDB download size.
GeoIPGEOIP_REFRESH_INTERVAL_HOURSMMDB refresh interval.
OpenTelemetryOTEL_ENABLEDEnables tracing; when omitted, a configured endpoint enables tracing automatically.
OpenTelemetryOTEL_EXPORTER_OTLP_ENDPOINTOTLP collector endpoint.
OpenTelemetryOTEL_EXPORTER_OTLP_HEADERSOTLP headers in key=value,key2=value2 format.
OpenTelemetryOTEL_EXPORTER_OTLP_INSECUREWhether to use plaintext transport.
OpenTelemetryOTEL_EXPORTER_OTLP_PROTOCOLOTLP exporter protocol: grpc, http, or http/protobuf; defaults to grpc.
OpenTelemetryOTEL_TRACES_SAMPLER_ARG / OTEL_SAMPLING_RATETrace sampling rate from 0 to 1; OTEL_TRACES_SAMPLER_ARG takes priority.

Authentication, registration, conversation settings, model option policies, file processing, RAG, embedding, MCP, billing, payments, and announcements are runtime business settings, not static YAML configuration. Their defaults are seeded by the backend and maintained in the admin console.

🎯 aiskill88 AI 点评 A 级 2026-06-28

高质量的企业级AI工作空间

⚡ 核心功能

👥 适合人群

AI 技术爱好者研究人员和学生开发者和工程师技术创业者

🎯 使用场景

  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发

⚖️ 优点与不足

✅ 优点
  • +Apache-2.0 协议,可免费商用
  • +完全开源免费,无授权费用
  • +本地部署,数据完全自主可控
  • +开发者社区支持,遇问题可查可问
⚠️ 不足
  • 安装和初始配置可能需要一定技术基础
  • 功能完整性通常不如成熟商业产品
  • 技术支持主要依赖开源社区,响应速度不稳定
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。

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❓ 常见问题 FAQ

使用Go语言安装
💡 AI Skill Hub 点评

总体来看,DEEIX聊天 是一款质量优秀的AI工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。

📚 深入学习 DEEIX聊天
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 DEEIX-Chat
原始描述 开源AI工具:An enterprise AI workspace for model routing, multimodal chat, files, tools, bil。⭐614 · Go
Topics AI聊天企业级
GitHub https://github.com/DEEIX-AI/DEEIX-Chat
License Apache-2.0
语言 Go
🔗 原始来源
🐙 GitHub 仓库  https://github.com/DEEIX-AI/DEEIX-Chat 🌐 官方网站  https://deeix.com

收录时间:2026-06-28 · 更新时间:2026-06-28 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。

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