- 1000 tasks / month, then $1/1000 tasks
- 1 workspace
- 1 user
- All standard components
- Unlimited workflows
- 7-days log retention
- Community support
ByteChef
0
ByteChef is an open-source AI agent platform that enables developers to create, orchestrate, and deploy intelligent agents. It provides modular skills, multi-agent collaboration, a built-in web IDE, and LLM integrations for rapid workflow automation and debugging.
AI Platforms & Frameworks
Workflow Automation
Digital Workers
Text Generation
#AI agent development
#modular architecture
#custom skill plugins
#multi-agent workflows
#visual web IDE
#LLM Integration
#debugging tools
#logging and observability
#API connectors
#Docker deployment
#Serverless Functions
#scalable AI solutions
#Automation Tools
#data analysis agents
#production-ready systems
#extensible plugin architecture
#customer support automation
#Rapid Development
#collaborative agents
#flexible integrations
...
Promote this Tool
Update this Tool
ByteChef is an open-source AI agent platform that enables developers to create, orchestrate, and deploy intelligent agents. It provides modular skills, multi-agent collaboration, a built-in web IDE, and LLM integrations for rapid workflow automation and debugging.
AI Platforms & Frameworks
Workflow Automation
Digital Workers
Text Generation
#AI agent development
#modular architecture
#custom skill plugins
#multi-agent workflows
#visual web IDE
#LLM Integration
#debugging tools
#logging and observability
#API connectors
#Docker deployment
#Serverless Functions
#scalable AI solutions
#Automation Tools
#data analysis agents
#production-ready systems
#extensible plugin architecture
#customer support automation
#Rapid Development
#collaborative agents
#flexible integrations
...
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What is ByteChef?
ByteChef offers a modular architecture to build, test, and deploy AI agents. Developers define agent profiles, attach custom skill plugins, and orchestrate multi-agent workflows through a visual web IDE or SDK. It integrates with major LLM providers (OpenAI, Cohere, self-hosted models) and external APIs. Built-in debugging, logging, and observability tools streamline iteration. Projects can be deployed as Docker services or serverless functions, enabling scalable, production-ready AI agents for customer support, data analysis, and automation.
Who will use ByteChef?
- AI developers
- Software engineers
- Startups building intelligent workflows
- Enterprises automating processes
- AI researchers
How to use the ByteChef?
- Step1: Sign up and create a new project on bytechef.io
- Step2: Define agent profiles and assign LLM model connectors
- Step3: Install or develop custom skill plugins via the SDK
- Step4: Orchestrate multi-agent workflows in the web IDE
- Step5: Test and debug agents using built-in logging and observability
- Step6: Deploy agents as Docker containers or serverless endpoints
Platform
- web
- mac
- windows
- linux
ByteChef's Core Features & Benefits
The Core Features
- Multi-agent orchestration
- Custom skill plugin system
- Web-based IDE with visual workflow builder
- LLM integration (OpenAI, Cohere, custom models)
- Debugging, logging, and observability tools
- API and external service connectors
- Scalable deployment via Docker/serverless
The Benefits
- Rapid AI agent development
- Highly extensible plugin architecture
- Seamless multi-agent collaboration
- Integrated debugging and monitoring
- Flexible model and API integrations
- Production-ready scalability
ByteChef's Main Use Cases & Applications
- Customer support chatbots automating ticket resolution
- Automated data analysis and report generation
- Personal virtual assistants for scheduling and reminders
- Marketing campaign automation with personalized messaging
- Multi-agent research assistants for document summarization
ByteChef's Pros & Cons
The Pros
Open-source and community-driven development
Supports building complex multi-step AI agents for workflow automation
Wide range of pre-built integrations with popular apps and services
Flexible deployment options including cloud and on-premise
Enterprise-grade security and performance
Supports various LLMs including OpenAI and self-hosted models
Easy to use for both non-technical teams and developers
ByteChef's Pricing
| Has free plan | No |
|---|---|
| Free trial details | 7-day free trial |
| Pricing model | Free Trial |
| Is credit card required | No |
| Paid from | 29 USD |
| Has lifetime plan | No |
| Billing frequency | Monthly |
Details of Pricing Plan
Starter
29 USDGrowth
169 USD- Everything in Starter, plus
- 3 workspaces
- Unlimited users
- Custom components
- Role-based access control
- Environments
- Advanced alerts
- API Access
- 30-days log retention
- Email support
Enterprise
0 USD- Everything in Growth, plus
- Custom amount of tasks
- Self-hosting options
- Unlimited workspaces
- API Platform
- Audit logs
- Log streaming
- Single Sign-On
- External secret store integration
- Environments & Version control using Git
- Scaling options
- Custom Component Builder
- Custom log retention
- Priority Support & SLAs
FAQs of ByteChef
ByteChef Company Information
Analytic of ByteChef
Visit Over Time
Monthly Visits
2.1k
Avg Visit Duration
00:00:19
Page Per Visit
1.98
Bounce Rate
33.74%
Oct 2025 - Dec 2025 All Traffic
Geography
Top 2 Regions
Germany
68.92%
United States
31.08%
Oct 2025 - Dec 2025 Worldwide Desktop Only
Traffic Sources
Referrals
42.15%
Search
39.78%
Direct
13.60%
Social
3.43%
Paid Referrals
0.69%
Mail
0.07%
Oct 2025 - Dec 2025 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| chef io | 420 | $ -- |
| posthog api key | 400 | $ -- |
| supabasee | 370 | $ -- |
| elevenlabs timestamps | 310 | $ -- |
| styling lucide react | 130 | $ -- |
ByteChef Reviews
5/5
ByteChef's Main Competitors and alternatives?
- LangChain
- LlamaIndex
- AgentGPT
- Autogen
- Haystack
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