Open Source
Escape no-code limits and scratch-built overhead. Build, customize, and orchestrate AI agents with full control, speed, and a great DevEx.
Read-only
Enterprise-level AI agents
Complete toolkit for enterprise level AI agents
Design production-ready agents with unified APIs, tools, and memory.
Enable agents to invoke functions, interact with systems, and perform actions.
Seamlessly switch between different AI providers with a simple code update.
Experiment, fine-tune, and iterate your AI prompts in an integrated environment.
Store and recall interactions to enhance your agents intelligence and context.
INTEGRATIONS
Easily connect with 40+ apps in no time
Integrate your AI agents with your preferred tools and services effortlessly.
Observability
Stay in control at every stage
From tracking deployments to debugging and live interaction, VoltAgent gives you full visibility into your AI agents.
Deployment
Deploy your Agents in seconds with VoltAgent Deployment.
Initializing build environment
Deploying to VoltAgent's global network
10:30:01
Cloning repository...
10:30:02
From https://github.com/your-org/your-app
10:30:02
* branch main -> FETCH_HEAD
10:30:02
HEAD is now at a1b2c3d feat: add new feature
10:30:02
Success: Finished cloning repository files
10:30:03
Using Node.js v20.19.0
10:30:03
Running `npm install`...
10:30:28
Installed 1450 packages in 25.3s
10:30:29
Running `npm run build`...
10:30:29
> tsc && node scripts/postbuild.js
10:30:35
Compiling TypeScript files...
10:30:36
[VoltAgent] Validating agent schemas...
10:30:38
Build successful! Artifacts generated.
10:30:38
[VoltAgent] Starting deployment process...
10:30:40
Uploading build artifacts (2.1MB)...
10:30:45
Upload complete. Verifying deployment...
10:30:46
[VoltAgent] Deployed! 'my-agent-v1.2' is live.
Debugging
Debug and analyze your VoltAgent-powered AI agent's behavior with visual flows.
Observability
Connect your VoltAgent-powered AI agents to popular observability platforms.
AI Chat
Interact with your AI agent through natural language chat interface.
Tools
Social Analysis, Trend Detection, Content Calendar, Performance Metrics, Competitor Analysis
Instructions
You are a marketing assistant specialized in campaign analysis, content strategy, and social media optimization. Analyze data to provide actionable insights and automate routine marketing tasks.
Agent, analyze last month's social media campaign performance and provide recommendations for improvement.
Analysis complete. Last month's campaign reached 45% more users but had 12% lower conversion rate compared to previous campaigns. Key findings: 1) Video content performed 3x better than static images. 2) Posts published between 6-8pm had highest engagement. 3) Product demonstration posts generated most conversions. Recommendation: Increase video content by 40%, focus on product demonstrations, and schedule more posts during evening hours.
Create a content calendar for next month based on these insights. Include optimal posting times and content types.
Content calendar created. I've scheduled 15 posts across platforms with 60% video content focused on product demos. Primary posting times are Tuesdays and Thursdays 6-8pm, with additional posts Monday and Friday mornings based on secondary engagement peaks. I've included hooks for upcoming product launch and integrated seasonal marketing themes. Calendar has been added to your Marketing Projects workspace and synced with team collaboration tools.
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