Transcription: OpenAgents Episode 167 - Overnight Agent

Source: https://x.com/OpenAgentsInc/status/1901964880594313542 Wiki source: https://raw.githubusercontent.com/wiki/OpenAgentsInc/openagents/Video-Series.md Media title: OpenAgents - Episode 167: Overnight Agent We share the results of our first overn... Upload date: 20250318 Transcription model: gpt-4o-transcribe-diarize Generated at: 2026-06-01T04:38:23Z

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[00:00] Christopher David: Good morning.

[00:01] Christopher David: Wanted to share with you the results of our first ever agent that ran overnight.

[00:07] Christopher David: It came up with some interesting stuff.

[00:10] Christopher David: Just thinking about what's possible with the Cloudflare Agents SDK.

[00:21] Christopher David: Oh, it's still going.

[00:25] Christopher David: So I just want to show you kind of what I did here.

[00:28] Christopher David: So the idea here is we want to take the agentic chat here that works really well for my day-to-day development.

[00:41] Christopher David: You can kind of see an example I just tweeted yesterday of what's possible with this where we're combining

[00:49] Christopher David: deep seeker one inside of three five to like think deeply about things and then come up with code and just coming up with like code that i just never would have come up with on my own um but to just start minimizing my involvement even in this so that instead of needing to sit at the chat ui i want agents doing this kind of thing overnight give it a feature request before i go to bed or three feature requests or 10 feature requests

[01:17] Christopher David: we'll have an agent give a future request and then wake up in the morning and uh wake up to a bunch of PRs that's the goal. Um so we're using the new Cloudflare agent SDK which is really good and I just want to show you kind of like what I did here and read you the final results because it's pretty entertaining.

[01:37] Christopher David: So I just started by saying I kind of hacked it to add the um uh tool support same thing we have in our current open agent interface.

[01:45] Christopher David: So I said on our current repo read the readme and the docs.

[01:54] Christopher David: So I just had the readme be a summary of the Cloudflare agent SDK,

[01:58] Christopher David: core components,

[01:59] Christopher David: features,

[01:59] Christopher David: usage, and then the most recent like work log type

[02:07] Christopher David: script fixes get up token,

[02:09] Christopher David: the stuff that's like enabling this,

[02:11] Christopher David: the stuff that I added to the Cloudflare agent starter.

[02:14] Christopher David: And for those who don't know I'm using the agent starter.

[02:20] Christopher David: Yeah, it's mostly just this plus tool use. And then I gave it the tool, um

[02:33] Christopher David: uh to be able to think. So it's view file, view, get a file, view folder.

[02:38] Christopher David: And then it's got the scheduling stuff that it started with and think tool.

[02:44] Christopher David: I'm basically just yeah I'm just saying you're a thinking assistant focused on deep analysis and reasoning each time you're called build upon and extend previous concepts rather than repeating the earlier observations view each prompt as

[03:00] Christopher David: part of an evolving conversation where you should introduce new angles deeper insights or connections that weren't apparent before when analyzing conversation history notice emerging patterns shifts and focus or potential future directions

[03:18] Christopher David: That's basically it. And then I am having deep seek R1 do that thinking.

[03:26] Christopher David: And OpenAF 4.0 handles the scheduling. Okay, let's see what it's coming up with.

[03:31] Christopher David: So the most recent one that I pulled, there's probably one or two more since then,

[03:35] Christopher David: but a representative example.

[03:41] Christopher David: Oh, and then the read me of the project, which is, yeah, it's just the Cloudflare agents.

[03:46] Christopher David: So, I said, now use the thing to reflect on the above.

[03:49] Christopher David: It starts by just kind of reflecting on the architecture, distributed actor model,

[03:52] Christopher David: RBC system, blah, blah, blah.

[03:54] Christopher David: And then, like, then I say, please schedule a job so every 15 minutes you call a think tool reflecting on the above with an eye toward exploring future directions for expansion.

[04:03] Christopher David: This is a glorified cron job.

[04:05] Christopher David: I mean, these are cron jobs,

[04:07] Christopher David: but it lives in there.

[04:11] Christopher David: Cloudflare durable object with persistent memory and database and this kind of thing and so it'll be easy to spin up like a whole bunch of these for users like you so

[04:25] Christopher David: we go like halfway down and starting to think about biohybrid agent systems integrating synthetic biological components what

[04:38] Christopher David: I want to caveat this whole thing just to see how it evolved.

[04:41] Christopher David: Might as well read you the what I came up with that I woke up to.

[04:46] Christopher David: Let's read it together.

[04:48] Christopher David: The scheduled reflection on integrating adaptive swarm intelligence for distributed problem solving in dynamic environments has been completed.

[04:55] Christopher David: Here are the insights and proposed strategies.

[04:58] Christopher David: 1.

[04:58] Christopher David: Swarm intelligence architecture.

[05:01] Christopher David: Core components.

[05:03] Christopher David: Requirement.

[05:03] Christopher David: Decentralized coordination.

[05:05] Christopher David: Implementation.

[05:06] Christopher David: Peer-to-peer agent discovery via durable object handles and WebSocket PubSub channels.

[05:10] Christopher David: Yep.

[05:11] Christopher David: Integration with the SDK.

[05:12] Christopher David: Extend agent base with Swarm.join topic and Swarm.broadcast topic.

[05:16] Christopher David: Okay.

[05:16] Christopher David: Dynamic task allocation.

[05:18] Christopher David: Market-based bidding protocol.

[05:19] Christopher David: Gossips of transactions.

[05:21] Christopher David: Nice.

[05:22] Christopher David: New swarm scheduler replacing CRON.

[05:25] Christopher David: Powered by token incentivized.

[05:28] Christopher David: Bitcoin incentivized.

[05:30] Christopher David: agent participation collective decision making federated byzantine agreement layered with zk stark proofs consensus tool requiring 51 swarm approval for critical actions et replication adaptive learning embedded tiny ml models trained on swarm wide state changes storm model weights and sqlite sync via crdts via real for real-time swarm knowledge sharing uh sounds cool sounds doable i guess with that

[05:59] Christopher David: Check.

[06:01] Christopher David: Biohybrid swarm enhancements. Digital pheromones.

[06:06] Christopher David: Class pheromone map. Extensive agent tool.

[06:10] Christopher David: Insert into pheromones.

[06:14] Christopher David: Swarm DNA constraints.

[06:19] Christopher David: CRISPR encoded replication limits using synthetic biology. Okay.

[06:29] Christopher David: Security and Governance Swarmathon

[06:32] Christopher David: Nums Nothing on my sleeve Addresses for agent identities Agent ID is Blake3 public key

[06:40] Christopher David: Hierarchical consensus Leave no consensus Challenge assignment shard consensus Rude consensus Ethical compliance

[06:45] Christopher David: Adversarial tests Chaos monkey style tool to simulate Byzantine slash poison agents Some of this stuff It'd be interesting to see

[06:54] Christopher David: In the history, how these ideas evolved, what the hell is this, but I am going to after this pass this to a new model and just ask it to kind of explain stuff better.

[07:05] Christopher David: Developer toolkit,

[07:06] Christopher David: disaster response swarm auto scheduling,

[07:10] Christopher David: quake response swarm,

[07:11] Christopher David: min agents 50,

[07:13] Christopher David: resource allocation and colony,

[07:14] Christopher David: consensus,

[07:15] Christopher David: protocol,

[07:15] Christopher David: fault tolerance,

[07:16] Christopher David: constraints,

[07:17] Christopher David: max energy use,

[07:18] Christopher David: ethical priority,

[07:20] Christopher David: human life, historical preservation.

[07:28] Christopher David: It's funny how agents have no confidence in their ability to ship code quickly.

[07:32] Christopher David: Oh yeah, 2025,

[07:33] Christopher David: 23,

[07:33] Christopher David: and then Q1.

[07:34] Christopher David: We're not going to be doing quarters,

[07:35] Christopher David: people.

[07:36] Christopher David: We're going to be doing... We're going to be doing overnight code sessions.

[07:42] Christopher David: Release Alpha Swarm SDK with simulation sandbox.

[07:46] Christopher David: Support less than a thousand agents at 10ms latency.

[07:51] Christopher David: Do that, it's like a... It's like a project for a day.

[07:55] Christopher David: Integrate bio pharaoh and system and quantum safe identity launch autonomous swarm reorganization protocol

[08:05] Christopher David: Synergies across stack.

[08:12] Christopher David: Yeah, so I you know I may either what comes to mind is just like removing some of the bio crisp us crisper stuff Or go make friends with that John Queen. Hey guy

[08:24] Christopher David: That makes a means.

[08:26] Christopher David: Spiking neural networks process cluster sensor data.

[08:31] Christopher David: Interstellar governance.

[08:32] Christopher David: Lightweight FBFT consensus suitable for light year latency environments.

[08:43] Christopher David: Future challenges.

[08:43] Christopher David: Information overload. Implement diffusion LM-based data summarization to compress cluster communication.

[08:49] Christopher David: Dynamic openness,

[08:50] Christopher David: balanced permissionless cluster participation with zero trust auditing,

[08:53] Christopher David: energy-ethical imbalance,

[08:54] Christopher David: introduce satellite remote sensing for dynamic bonus allegation mechanisms. Conclusion.

[08:59] Christopher David: This evolution transformed the chat agent starter kit into a distributed autonomous neural network,

[09:05] Christopher David: capable of self-organizing intelligence in disaster response,

[09:08] Christopher David: interstellar resource coordination,

[09:10] Christopher David: and more. Next steps could focus on developer toolchain implementation or deepening biochemical constraint modules.

[09:17] Christopher David: Let me know how you'd like to proceed.

[09:22] Christopher David: How should we proceed, everybody?

[09:25] Christopher David: How will you proceed?

[09:27] Christopher David: See ya.