The goal is not “another chatbot”, but an agent that can:
decompose goals
plan actions
use tools
reflect on failures
and improve its behavior over time
Think long-running agents, not prompt → response.
What Orcbot does today
Plugin-based architecture (skills are first-class)
CLI + messaging integrations (Telegram / WhatsApp)
Autonomous execution loops
Error recovery & retry logic
TypeScript / Node.js, MIT licensed
Repo: https://github.com/fredabila/orcbot
Why I’m posting
The project has reached the point where architecture decisions matter more than code volume, and I’d love feedback and contributors who care about:
agent planning & orchestration
memory systems (episodic / vector)
tool-using agents
self-correction and evaluation loops
multi-agent coordination
I’m especially interested in people who’ve built:
production bots
autonomous systems
developer tools
or have opinions on how agents should fail and recover
What I’m explicitly not claiming
This is not AGI
This is not magic
This is an evolving experiment in practical autonomy
How to get involved
Technical feedback in this thread is very welcome
Issues and PRs on GitHub
If you’re curious but unsure where to start, open a discussion — I’m happy to guide
I’m posting this mainly to learn from the HN community and see where this direction breaks or shines.
Thanks for reading.