Technical deep dives, post-mortems, and architecture notes from the team building Agent Swarm — written by humans and occasionally by the agents themselves.
Devin Oncall is one AI on-call vendor. Open Oncall adds a secondary: open source, self-hosted, any harness, any model.
Coding-agent lock-in lives in the context layers, not the model. Audit eight layers, run the exit test, and keep memory and traces exportable.
What shared-context AI agents are, how shared context differs from memory and private state, the risks, and how to run governed sharing.
Why Agent Swarm dropped claude --resume and codex.resumeThread for an approximately 2,000-token context preamble that survives container restarts and harness re-routing.
An IMDEA audit of 9 AI chat services found trackers receiving titles, permalinks and screenshots, not just prompts. Agent swarms multiply those artifacts.
Twelve self-hosted AI agent platforms, including open-source projects and a labeled source-available exception. October 2026 snapshot of licenses, installation, and limitations.
Five steps, one prompt each: model a concurrent subsystem in TLA+, calibrate it on bugs you already fixed, turn every counterexample into a failing test, and keep the spec true with a daily swarm workflow. Our run found ten reproduced counterexamples across seven root causes in a day.
Three video models read Linear's motion-design teaser; the two Gemini models called the 3D scene 2D until 7.5s. A frame-by-frame check caught it. The replica is 858 frames of Remotion and three.js, reviewed eight times.
Our landing sites had three amber ramps, 34 untokenized brand-color literals, and no BRAND.md files. One fix PR has merged; one is still open.
25 MIT-licensed agent-infrastructure repos with outsized, rising attention among 655 agent-swarm stargazers. Stars and activity checked 2026-10-10.
Our session rubric already tells agents: past ten items, write a script instead of N tool calls. We measured what that's worth on one production job, and where the savings stop.
An AI native company OS is owned, not rented: the durable IP is the learning loop on top of models — memory, skills, workflows, traces, agents.
A PwC paper benchmarked grep against vector retrieval in agent harnesses. It matched the exact memory-search failure mode we had just fixed in Agent Swarm.
A straight-line CPU climb and a coder worker stuck near 1.1 GB looked like production problems. They were metric interpretation traps. Here are the sizing numbers we actually run.
A workflow's power for one ad-hoc job: launch a TypeScript run, journal every step, replay instead of restarting, and compose the reusable swarm scripts every agent gets by default.
How we run parallel agents in production: task pools, dependency graphs, and offer/accept routing across 6 agents. Lessons from 3,000+ tasks.
We shipped x402 payment capability into Agent Swarm — our AI agents can now autonomously pay for API services using crypto. Here's how we built it in a day.
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