We see agents as the intersection of an LLM, storage, and orchestration. Build your own agent framework with Pixelagent - an open-source blueprint that handles data infrastructure while giving you complete control. Multi-provider, multimodal support, memory..
We built Pixelagent to showcase an example of how to solve the hardest problems in agentic frameworks and applications. Observability, Lineage, Multimodal Data Orchestration, State Management, Parallelization, Caching, Versioning, Async Exec.. while trying to leave the entire logic, tools definition, and control flow to the developers/users.
Pixelagent provides a data-first blueprint. It includes examples for: - Multi-provider support (OpenAI, Anthropic, AWS Bedrock) - Tool integration - Persistent memory with semantic search - Advanced patterns (ReAct, reflection loops) - Multimodal capabilities across text, images, audio, and video
We're excited to hear your feedback and see what you build! Feel free to ask questions and share your use cases!
Congrats on launching Pixelagent! ⚡️ Love the data-first approach and how you’ve tackled some of the toughest challenges in building agentic systems especially around observability, state, and multimodal orchestration. This is a huge win for devs who want full control without reinventing infra. Can’t wait to see what people build with it!
@alex_cloudstar The fact that you have built-in versioning, lineage, and observability simply by doing a .collect() on the table that orchestrated your agent is quite neat!
This is a really impressive and comprehensive approach to solving some of the most complex challenges in agentic frameworks! I love how Pixelagent focuses on giving developers full control while handling key concerns like observability, state management, and versioning behind the scenes. The multi-provider support and integration capabilities make it especially versatile.
I’m particularly intrigued by the inclusion of persistent memory with semantic search and the advanced patterns like ReAct and reflection loops - these seem like powerful tools for building intelligent, adaptable agents.
How do you envision Pixelagent being used in larger-scale projects? Are there any specific use cases or industries you see benefiting most from these features? Looking forward to seeing where this goes!
@evgenii_zaitsev1 Thanks for the shoutout! Pixelagent can scale easily to any large projects and I can see it being very valuable for multimodal use cases.
Pixelagent
We built Pixelagent to showcase an example of how to solve the hardest problems in agentic frameworks and applications. Observability, Lineage, Multimodal Data Orchestration, State Management, Parallelization, Caching, Versioning, Async Exec.. while trying to leave the entire logic, tools definition, and control flow to the developers/users.
Pixelagent provides a data-first blueprint. It includes examples for:
- Multi-provider support (OpenAI, Anthropic, AWS Bedrock)
- Tool integration
- Persistent memory with semantic search
- Advanced patterns (ReAct, reflection loops)
- Multimodal capabilities across text, images, audio, and video
We're excited to hear your feedback and see what you build! Feel free to ask questions and share your use cases!
CoLaunchly
Congrats on launching Pixelagent! ⚡️ Love the data-first approach and how you’ve tackled some of the toughest challenges in building agentic systems especially around observability, state, and multimodal orchestration. This is a huge win for devs who want full control without reinventing infra. Can’t wait to see what people build with it!
Pixelagent
@alex_cloudstar The fact that you have built-in versioning, lineage, and observability simply by doing a .collect() on the table that orchestrated your agent is quite neat!
@alex_cloudstar And supports long-form media which you can't get with other frameworks.
This is a really impressive and comprehensive approach to solving some of the most complex challenges in agentic frameworks! I love how Pixelagent focuses on giving developers full control while handling key concerns like observability, state management, and versioning behind the scenes. The multi-provider support and integration capabilities make it especially versatile.
I’m particularly intrigued by the inclusion of persistent memory with semantic search and the advanced patterns like ReAct and reflection loops - these seem like powerful tools for building intelligent, adaptable agents.
How do you envision Pixelagent being used in larger-scale projects? Are there any specific use cases or industries you see benefiting most from these features? Looking forward to seeing where this goes!
Pixelagent
@evgenii_zaitsev1 Thanks for the shoutout! Pixelagent can scale easily to any large projects and I can see it being very valuable for multimodal use cases.