Parallel or coordinated agents working on shared tasks.
Cline launched Kanban, a local multi-agent board that runs Claude, Codex, and Cline CLI tasks in isolated worktrees with dependency chains and diffs. Teams can use it as a visual control layer for parallel coding agents on repo chores that split cleanly.
Nous Research said Hermes Agent crossed 10,000 stars, while users reported easy migrations from OpenClaw and stable long-running use. If you test it, focus on persistent memory, MCP browser control, and delegation behavior under real workloads.
Agent Flywheel lays out a planning-first workflow built on beads, agent mail, swarms, and TUI inspection for very large coding runs. It is useful because the guide exposes coordination primitives and review loops, not just benchmark screenshots.
OpenAI told MIT Technology Review it wants an autonomous research intern by September and a multi-agent research lab by 2028, with Codex described as an early step. Treat it as a roadmap for longer-horizon agents, not a shipped capability.
JetBrains introduced Air, an agentic development environment where multiple agents can edit alongside you on host, in Docker, or on remote VMs. Its shared out-of-process state and checkout-free Git-server filesystem make multi-agent workflows easier to inspect and control.
Cognition updated Devin so one session can break down large work and delegate subtasks to worker Devins running in separate VMs. It matters for audits, migrations, and QA runs where one long-context agent is slower than explicit parallelism.
OpenAI rolled out native subagents in Codex so a main agent can spawn specialized parallel threads and return results to one session. Try it for larger code reviews and feature builds where you want to split work without polluting the main context.
Hermes Agent added a /background command and a migration path from OpenClaw. Use it to lower setup friction for parallel task runs and to trial Hermes without rebuilding your whole stack.
NVIDIA released Nemotron 3 Super, a 120B open model with 12B active parameters and a 1M-token window, on OpenRouter with free access. Evaluate it for low-cost agent backends, especially if you need local or self-hosted deployment options.
Nous Research shipped Hermes Agent v0.2.0 after 216 merged PRs, adding native MCP support, editor integrations, worktree isolation, rollback, and a larger skills ecosystem. Try it in real repos if you want broader tool support, official Claude support, and lighter installs.
The LabClaw team open-sourced a 211-skill layer for dry-lab reasoning, literature work, medicine, biology, and lab automation. Use it as a starting skill library for AI scientist systems instead of assembling generic tools from scratch.
Meta acquired Moltbook and is bringing its founders into Meta Superintelligence Labs as it bets on agent identity and social coordination layers. Watch how Meta productizes registry, verification, and cross-agent discovery for agent ecosystems.
ByteDance released DeerFlow 2.0 as an open-source multi-agent system with a browser workspace, parallel tasking, and OpenAI-compatible model support. Try it if you want a reusable repo for autonomous research-and-build workflows instead of a demo stack.
Nous Research released a self-evolution package for Hermes Agent that uses DSPy and GEPA to optimize skills, prompts, and code, and reported a phase-one score increase from 0.408 to 0.569 on one skill. Agent teams can study the repo for fallback model, memory, and self-improvement loop patterns.
