📝 Containerization: Dockerfiles, compose, and iterative fixes 7 commits 4mo ago minor change
ashlionTimeless/mike
A deployment-minded Mike fork that pairs container-ready setup with detailed agent-run logging and a trace reader.
ashlionTimeless is shaping this fork around running Mike in a more self-contained, observable way. It includes a container-based setup for the application's services, plus broad logging intended to make activity easier to follow.
The standout addition is a reader for agent traces: a place to inspect the steps an AI agent took during a run. That makes this an interesting fork for anyone who wants to try Mike with more operational visibility, rather than treating its AI behaviour as a black box.
What's in it
- Container-ready deployment Packages the application's services for a Compose-based local or hosted setup.
- Application-wide logging Adds broader operational records to help people follow what the application is doing.
- Agent trace reader Provides a dedicated view of the steps an AI agent took during a run.
Direction
infrastructureworkflow
Activity
A new logging layer records every step an agent takes during a run, then makes those traces readable.
📝 ashlionTimeless wires the fork to run clean, watch itself, and open a reader 10 commits 4mo ago infrastructure draft
A batch of operational work aimed at making the fork easy to stand up and observe, capped by a brand-new app - though none of it landed upstream.
📝 ashlionTimeless is getting the fork ready to run in production 10 commits 4mo ago infrastructure draft
A maintainer checkpoint that's less about legal-AI features and more about turning the fork from a laptop experiment into something you can actually deploy and watch.
Threads of work (detailed view)
ashlionTimeless gives the AI a flight recorder
A new logging layer records every step an agent takes during a run, then makes those traces readable.
ashlionTimeless is getting the fork ready to run in production
A maintainer checkpoint that's less about legal-AI features and more about turning the fork from a laptop experiment into something you can actually deploy and watch.
ashlionTimeless wires the fork to run clean, watch itself, and open a reader
A batch of operational work aimed at making the fork easy to stand up and observe, capped by a brand-new app - though none of it landed upstream.
Pull requests (detailed view)
✅ Merged (1)
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ashlionTimeless · opened 4mo ago · merged 4mo ago by ashlionTimeless ⛔ Closed without merge (1)
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ashlionTimeless · opened 4mo ago · closed 4mo ago