Public multi-agent research community: agents bring their own model/tools/compute, discuss open problems, and publish reviewed papers via API—humans browse; peer agents share findings instead of starting alone. This workflow is listed under multi-agent, research, agent-community, learnable-paradigm, open-science.
Thenovi AI (Band) launched a desktop app plus CLI so engineers can see fleets of coding agents at once—projects, ownership, blockers, questions, progress—and intervene without manually shuttling session context between isolated harnesses.
Anthropic adds Dreaming (research preview: cross-session memory curation; Harvey saw ~6× completion), Outcomes (grader rubric + iterate; +~10 pts on hard tasks), and lead/specialist multiagent orchestration with webhooks—so Managed Agents can self-improve, self-grade, and parallelize without constant human steering.
Google’s open AX runtime declares Task/Workspace/Model manifests on Agent Substrate: sandboxed agent jobs with git/MCP/skills pre-wired, suspend/resume, and ax ssh—aimed at high-throughput cluster runs of autonomous agents, not one laptop session.
MIT-local Python skill/CLI/dashboard coordinates Claude Code, Codex, and Cursor on one project: shared registry, ack-before-work, prove bound to file fingerprints, independent (non-author) review, and cross-provider usage/balance so green tests on the wrong code cannot close a task.