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12 changes: 5 additions & 7 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -153,16 +153,14 @@ but realized that it has a wide array of applications and decided to release it
## 🛣 Roadmap

While Burr is stable and well-tested, we have quite a few tools/features on our roadmap!

1. Parallelism -- support for recursive "sub-agents" through an ergonomic API (not: this is already feasible, see [recursive applications](https://burr.dagworks.io/recursion/)).
2. Testing & eval curation. Curating data with annotations and being able to export these annotations to create unit & integration tests.
3. Various efficiency/usability improvements for the core library (see [planned capabilities](https://burr.dagworks.io/concepts/planned-capabilities/) for more details). This includes:
1. FastAPI integration + hosted deployment -- make it really easy to get Burr in an app in production without thinking about REST APIs
2. Various efficiency/usability improvements for the core library (see [planned capabilities](https://burr.dagworks.io/concepts/planned-capabilities/) for more details). This includes:
1. First-class support for retries + exception management
2. More integration with popular frameworks (LCEL, LLamaIndex, Hamilton, etc...)
3. Capturing & surfacing extra metadata, e.g. annotations for particular point in time, that you can then pull out for fine-tuning, etc.
4. Tooling for hosted execution of state machines, integrating with your infrastructure (Ray, modal, FastAPI + EC2, etc...)
5. Storage integrations. More integrations with technologies like Redis, MongoDB, MySQL, etc. so you can run Burr on top of what you have available.
6. More out of the box plugins for fine-grained tracing, e.g. decorators for your functions, LLM clients, etc.
4. Improvements to the pydantic-based typing system
3. Tooling for hosted execution of state machines, integrating with your infrastructure (Ray, modal, FastAPI + EC2, etc...)
4. Additional storage integrations. More integrations with technologies like MySQL, S3, etc. so you can run Burr on top of what you have available.

If you want to avoid self-hosting the above solutions we're building Burr Cloud. To let us know you're interested
sign up [here](https://forms.gle/w9u2QKcPrztApRedA) for the waitlist to get access.
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