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single author, single user software is the one place where there is no rev limiter on ai. i spend the vast majority of my time on the computer steeped in my personal software now. some i publish for others to use, or so friends can point their agent at to adapt/rebuild:

https://stepwise.run/ Portable workflow orchestration for agents and humans

https://github.com/zackham/aloop Embeddable Python agent loop for integrating LLM agents into your projects. Multi-provider (OpenRouter, OpenAI, Anthropic, Google, Groq), built-in tools, hooks, ACP server, and persistent sessions.

https://github.com/zackham/plat An embeddable infinite canvas to build on. Bring your own node types; drag, zoom, edges, auto-layout, and undo come free. Host-agnostic storage, runtime API built for agents.

https://github.com/zackham/seance Shared live workspace for humans and agents — multi-pane terminals, notes, and a control plane for co-working in the open.

deep dive docs for my personal agent system i've been developing since dec, and using constantly: https://vita-docs.ham.xyz/overview/

browser replacement for stuff i control: https://vita-reports.ham.xyz/s/2119130b0b6b

a snapshot in time of the education system i run for my kids: https://vita-reports.ham.xyz/s/e7036ae931a7

if you want to talk about any of this stuff, or have a related project you think i'd appreciate, hit me up zackham@gmail.com or @zackham on telegram. abundance is here for personal software. take advantage of it and have fun!


all ingested data and all derivations of that data can link to source channel and associated ACL that syncs with the source. then search/reads/etc just join on and respect the ACL. not that complicated to manage for things like slack, meetings, etc.


agreed. i built this for a wide variety of background workflows that have been running seamlessly for many weeks now. it's an overbuilt personal project but i think pretty dialed in and very flexible https://stepwise.run/


I have a project in this space that I've run many thousands of jobs through. It's solid and full featured. Feel free to connect: https://stepwise.run/


Just looking at the features, this is pretty cool!


if you are looking for a customizable agent harness that provides everything except a tui (cli, acp, embeddable python package) i built and use this for a handful of projects where i needed a vendor-agnostic replacement for claude agent sdk: https://github.com/zackham/aloop


The most durable way to reason about agents is to just think about humans. We have thousands of years of prior art on coordinating instantiations of stochastic intelligence. Context, tools, goals, validation, specialization, distribution of labor, coordination... If jobs are bundles of tasks and areas of accountability, maybe it's more effective right now to unbundle and reorganize some of these things. If constraints underperform autonomy, maybe you have to adjust where you operate on that spectrum, and account for it in goal definition and validation. These are not new problems.


When I come across a paper/article/insight that connects to one or more things I'm working on, I generate 20-30 minute podcasts that do deep research, connect it back to my work, and target an angle I'm interested in. I can message my agent over Telegram and say "check this out [link] curious who else is working on this problem and if there's anything actionable we can glean from it in relation to [projectX], generate a podcast". It's been surprisingly good, and in my commutes I've found these more compelling to listen to than my normal rotation of stuff.

Here's an earlier version of my podcast generation flow before I built narrate: https://stepwise.run/flows/podcast-deep


agreed. the long-running tasks i handle with immediate-background and continually edit message with updates, along with fork-and-reconcile semantics so you don't have to queue messages. also having a supergroup with separate topics for different sessions works really well.

the separate topics approach along with allowing other processes to enqueue messages into the session stream solves state pretty tidily, see "the session as decision-maker" in the linked report


pi is great and made popular some things that are really valuable, that hopefully spread to more projects (arbitrary forking with /tree, system prompt transparency and control). i was hoping to use it on a few projects but needed something to embed, and it didn't quite fit the bill. ended up building https://github.com/zackham/aloop which i am using in coordination with https://stepwise.run/ - reach if you're interested, both under active dev and deployed in systems doing real work.


Hey - OP here. I've been working on Ride with GPS since 2006 (!) and the game we've built is the most fun I've had in a long time. We're launching in PDX and if that is a success, we'll double down on it and roll it out to a bunch more cities. I want to do everything I can to stack the deck in our favor since I believe in this project.

I put together this landing page start to finish yesterday (thanks claude/grok), and am hoping it's effective in generating some initial interest. Looking for any feedback you have, small/large, however blunt, to dial it in and make it work for us.


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