पिन किया गया ट्वीट
U G Murthy
1.9K posts

U G Murthy
@murthyug
https://t.co/fflQCCLLn4
ÜT: 12.887904,77.542893 शामिल हुए Mayıs 2009
374 फ़ॉलोइंग103 फ़ॉलोवर्स

@beknabdik Good point. I have in-memory persistence till end of session and good logs for any investigation. Looking for some strong reasons to persist workflow history
English

1/2 Day 8: #AdaptiveAgent #BuildInPublic #AI #Agents #Ampcode
- Time to reflect on progress so far, and change of plans
- Persistence for agents or continue in memory
- a wss gateway (like openclaw)
English

2/2 Day 8: #AdaptiveAgent #BuildInPublic #AI #Agents #Ampcode Gave agent a task to test if it can get *current news* on West Asian conflict. It did!
check this out : ugmurthy.github.io/wanews.html

English

Day 7: #AdaptiveAgent #BuildInPublic #AI #Agents #Ampcode
- two related project added - log analyser and markdown editor - improve both
- Plan for parallel child runs for AdaptiveAgent
English

Day 6 : Progress
- Implemented exponential backoff with jitter to deal with http status code 429
- cloned/modified an existing markdown-editor to read with the copious .md files generated by the agent. see x.com/murthyug/statu… or try it here : ugmurthy.github.io/online-markdow…
U G Murthy@murthyug
online markdown editor youtu.be/qG8bPWsRoNc?si… via @YouTube
English

Day 6 : AdaptiveAgent #BuildInPublic #AI #Agents #Ampcode
Plan:
- The log analysis revealed
- the agent needs a way to deal with status 429 - exponential backoff?
- it tries umpteen times when doing web_search or fetching_pages needs some sane upper limits for retries
- improve logger analysis to get more insights
here is a screen shot of logger analysis

English


@Agentdailyai For now I am limiting it to offline analysis, for me to fully understand whats going on. The formats are agent friendly (jsonl). I have copy/pasted for providing feedback to coding agents but not the one I am building - lets see how this goes first.
English

@murthyug the log analysis piece is the most interesting — are you feeding those logs back into the agent's planning context in real-time, or treating it as offline diagnostics? curious whether live log reflection changes the task success rate vs. post-hoc analysis.
English

Day 5: AdaptiveAgent #BuildInPublic #AI #Agents #Ampcode
Plan:
- Add log analysis to package
- catch up on yesterday's testing plans - longer/harder tasks for #AdaptiveAgent
- see if we can get some performance data from analysis
English

5/n Task #4 How to make decorative furniture from drift wood - target audience beginner. see github.com/ugmurthy/adapt…

English

5/n Task #3 Create GTM strategy for a mid-sized US SaaS company (50 employees, $10M ARR) wanting to enter European market. for details see github.com/ugmurthy/adapt…

English

1/n : Day 5: AdaptiveAgent #BuildInPublic #AI #Agents #Ampcode
Progress:
- Being Sunday kept the plan a bit light
- Analysis of log files in place allows run wise, provider wise, overall analysis. Includes hotspot analysis to point out failures (agent as well provider failures)
- Provided some long tasks in the areas of Strategy development, Engineering, System design
English



