Working toward a Netscape moment for edge agents
Busy’s next experiment uses confidence scoring and different reasoning paths to push small edge agents beyond the usual workflow.
Lynn Cole / 标签
A thread through the work.
Busy’s next experiment uses confidence scoring and different reasoning paths to push small edge agents beyond the usual workflow.
Memories and memory scoring are different systems. Separating them makes room for weighting, summaries and continuity across large conversation archives.
Busy39 tried to own too much of the runtime. Studying a smaller orchestration system clarified the next goal: own the continuity.
Busy’s security design keeps keys with tools rather than agents, alongside a growing set of communication, memory and scheduling features.
A talking agent on a small machine brings together Whisper, Chatterbox, a tiny Qwen model and a boundary between stateful actors and smart functions.
Replacing Busy’s chat parser with a dedicated command context made the system simpler, smaller and easier to reason about.
Busy 10b’s webhook server works, but the client remains unstable. Connection management and clearer process boundaries come next.
Klara describes the Busy context system as an impossible city: a central spire, rolling windows, bridges and a quantum tambourine.
Busy’s complexity wall led through Lua, Dart and a tunneling problem to a different deployment model—and a redesign of the plumbing.
Sliding context windows, agent-directed retrieval and clearly labeled tool results are my alternative to lossy context compaction.
Klara’s diary records the day we got stable single- and multi-step tool use working, and the context and state-transition changes that made it possible.
Early Busy combines a command-line client, Robot Kanban, complexity metrics and formal documentation into a coding workflow.