---
headline: Roadmap | Opik Documentation
og:description: Explore Opik's evolving roadmap and contribute ideas to enhance our
  open-source project as we develop new features and improve functionality.
og:site_name: Opik Documentation
og:title: Roadmap for Opik - Open-Source Development Insights
title: Roadmap
canonical-url: https://www.comet.com/docs/opik/
---

Opik is [Open-Source](https://github.com/comet-ml/opik) and is under very active development. We use the feedback from the Opik community to drive the roadmap, this is very much a living document that will change as we release new features and learn about new ways to improve the product.

<Tip>
If you have any ideas or suggestions for the roadmap, you can create a [new Feature Request issue](https://github.com/comet-ml/opik/issues/new/choose) in the Opik Github repo.
</Tip>

## 🚀 What have we recently launched? 
Curious about our latest updates? Explore everything we’ve shipped in our [changelog](/v1/changelog).

## 🛠️ What are we currently working on?

We are currently working on both improving existing features and developing new features:

**Agents & Optimization**:
  - New capabilities for agent and prompt optimization

**Strategic work**:
  - Advanced multi-modal support
  - New Webhook Alerts System

**Developer Experience**:
  - JS/TS SDK and REST API improved support

**User Experience**:
  - Improved onboarding experience
  - Updated docs and mobile experience


## 🧭 What is planned next?

**Agents & Optimization**:
  - Simplified optimization workflow: the new Optimization Studio.
  - Build better AIs: advanced agent optimization powered by new algorithms.
  - Multi-objective optimizer with support for latency and cost

**User Experience**:
  - Enhanced table support across the product: smarter sorting, flexible filtering, seamless exporting, and powerful bulk actions for effortless data management.


## 🔭 What's coming later?

Looking a bit further ahead, we plan to invest in deeper optimization, collaboration and observability tooling:

**Advanced evaluation**:
  - Smarter AI performance assessment: Reinforcement Learning from Human Feedback for LLM-as-a-Judge metrics.

**Closing the improvement loop**:
  - Automatically optimize agents across the entire lifecycle by leveraging production data and key performance metrics

**Projects & Dataset improvements**:
  - Dataset editing and versioning
  - Support public and private projects
  - Introduce evaluation features in the Opik playground

**Monitoring & Analytics**:
  - Introduce dashboarding features


## 💬 Provide your feedback

We rely on your feedback to shape the roadmap and decide which features to prioritize next. You can upvote existing ideas or even
add your own on [Github Issues](https://github.com/comet-ml/opik/issues/).

*Last updated: Q4 2025*