Multi-Agent Systems

Anthropic says an unreleased Claude did not solve the Riemann hypothesis but improved a related zeta-zero lower bound from 41.6% to about 67.2%. Posts describe subagents, expert prompting, and Lean formalization.

Practitioners reported better Codex multi-agent runs by raising concurrency and splitting work across Sol, Terra, and Luna. One workflow sends deploy tasks to Luna Max to preserve Sol tokens.

Vercel said it consolidated dozens of internal agents into @v, an agent/router used across finance, docs, marketing, engineering, analytics, and Slack workflows. The posts describe skills, subagents, per-user memory, and schedules rather than a public product.

Microsoft said MAI-Cyber-1-Flash inside the MDASH multi-agent security harness scored 95.95% on CyberGym. The system routes harder tasks to GPT-5.4 and coordinates more than 100 specialist agents.

Kyle Jeong open-sourced a Devin Fusion-style orchestrator with sidekick agents for subtasks. Peter Steinberger used Codex with 12 subagents, worktrees, dev gateways, and autonomous PRs to test OpenClaw.

Plasma open-sourced Fractal, an Apache-2.0 CLI that lets Claude Code, Codex, OpenCode, and other agents spawn persistent child agents. Each node gets its own worktree, memory, lifecycle, and Git history.

New releases and practitioner posts described graph-shaped agent runtimes instead of simple loops. Slate, LangChain's open-sourced agent factory, and AI SDK's Python package each add pieces for durable orchestration.

Anthropic published Claude Managed Agents examples for long-running production agents. The patterns cover outcome rubrics, self-correction, and sharing sandbox context between agents.

AI21 says its pipeline routes exploration, extraction, and patching across model tiers and reaches 80.8% on SWE-Bench Pro at $5.99 per task. Other workflows use critic agents, readable harnesses, Fugu/Nemotron routing, and scheduled Gemini agents.

Sakana listed 11 ICML 2026 papers covering LLM speed, memory, and agent evaluation. The lineup includes TwELL sparse kernels, RePo context positioning, CoffeeBench long-horizon agents, SoftMatcha 2 corpus search, Doc-to-LoRA memory, and Fast-weight Product Key Memory.

harbor exec launched an agentic-map-reduce CLI installed with npx skills add harbor-exec. Use it to run sandboxed agents for trace analysis, session mining, search, and rollout aggregation.

Hermes Agent launched Mixture of Agents 2.0, letting users combine models from different providers into presets that behave like a normal model inside the agent loop. It matters because multi-model orchestration becomes a reusable runtime primitive instead of a custom routing workflow.

Sakana launched Fugu Ultra on AI Gateway and published a technical report, with early testers sharing mixed results. Reports mention polished outputs on some tasks, but also 30-minute runs, uneven coding quality, and much higher cost than GLM-5.2.

Sakana AI launched Fugu and Fugu Ultra as OpenAI-compatible orchestration models that route, verify, and synthesize across multiple models. The release matters because Sakana is selling multi-agent coordination as a single endpoint, but it has not fully disclosed model mix or pass-through costs.

Databricks open-sourced Omnigent, a meta-harness that runs Claude Code, Codex, Cursor, Pi, and custom agents in one live session with a collaborative web UI. The release centralizes supervision, cost control, and cross-agent review instead of splitting work across separate tools.

ENPIRE launched a physical autoresearch setup that gives eight Codex agents robots, GPUs, and real-world APIs for tasks like zip ties and part sorting. It matters because it moves long-horizon agent evaluation from browser-only loops into embodied experimentation with explicit safety controls.

Factory 2.0 expands from coding agents to end-to-end software factories spanning tickets, code, tests, deployments, and incidents. The release makes feedback loops and model routing first-class parts of engineering automation.

Kimi Work launched for macOS and Windows with up to 300 local agents, WebBridge browser control, finance data tools, and a memory system. It matters because the app bundles multi-agent desktop automation locally instead of routing the workflow through a hosted IDE.

Claude Code 2.1.154 added Dynamic Workflows, a research-preview mode that writes orchestration scripts and runs hundreds of subagents in one session. Anthropic also shipped 2.1.156 to fix Opus 4.8 thinking-block API errors, so teams should watch for workflow and API stability.

Google launched Antigravity 2.0 as a desktop app plus CLI/SDK stack for multi-agent workflows, and added Managed Agents to the Gemini API with persistent Linux sandboxes. Try it for agent orchestration and API-based sandboxing, but verify harness costs and runtime fit.

Warp launched Oz orchestration across Claude Code, Codex, and Warp Agent, with subagent delegation, isolated worktrees or containers, and beta multi-harness control. Try the new '&' handoff and Agent Memory if you run long sessions that need cloud continuation.

Keycard launched delegated auth for multi-agent apps, issuing scoped credentials at each handoff instead of sharing broad long-lived secrets. The SDKs cover LangChain, MCP, A2A, and generic APIs while keeping credentials out of disks and databases.

holaOS shipped Beta 0.1, adding Multi Workspaces, Sub Agents, a dashboard, and a kickoff flow on top of its agent-computer base. The release targets long-running workstreams that need persistent context instead of one-chat sessions.

Hermes Agent 0.13.0 adds enforced goal completion, Kanban-based multi-agent orchestration, and more extensibility for custom LLM providers and gateway channels. Early user reports also show Hermes browser skills cutting one Hacker News workflow from 102 seconds to 35 and cost from $1.46 to $0.28.

Anthropic added Dreaming in research preview plus public-beta Outcomes, multiagent orchestration, and webhooks to Claude Managed Agents. Teams should try the new grader loops and shared-container sub-agents if they want more control over long-running agent work.

Nous Research added a Kanban workflow where specialized agents claim linked tasks, share files, and persist progress in SQLite-backed workspaces. The update moves Hermes from a single-agent loop to coordinated queues with human comments, heartbeats, and crash recovery.

ElectricSQL launched Electric Agents, treating agents as long-lived data entities that sync across shared coding sessions, swarms, and branches. The release matters for teams building collaborative agent systems that need durable state and coordination primitives, not just one-shot task runners.

OpenAI released Symphony, an orchestration layer that turns issue trackers into Codex agent queues for PR generation and review. Early users say it can move many tickets in parallel, but token burn rises quickly when agents fan out.

Sakana AI opened beta access to Fugu, a multi-agent orchestration system that routes work across multiple frontier models via an OpenAI-compatible API. The launch packages model selection and role assignment as an external runtime, but access is still gated by beta signup.

Moonshot open-sourced Kimi K2.6, a 1T-parameter MoE with 32B active parameters, 256K context, multimodal input, and larger agent swarms. It now sits near frontier closed models for long-horizon coding and tool use, so teams can try it for agent workflows.

Nous Research shipped Hermes Agent v0.9.0 with a local web dashboard, new monitoring APIs, and broader platform updates. Teams using multi-agent workflows should test the new controls for profile cloning and long-running dashboard-managed sessions.

Sentinel Gateway promoted tool-scoped execution controls, Agent v0 shipped OS sandboxing plus hash-chain logs, and NeoBild published a 336-round Termux CVE loop. Use these controls to constrain agent actions and run security analysis locally.

Hermes Agent added direct /claude-code orchestration and cron-time script hooks, and the team also shipped Hermes-focused datasets and agent-tuned model variants. The update turns Hermes into a harness that can steer Claude Code and inject recurring context automatically.

Imbue published a walkthrough for mngr showing how it turns tutorial scripts into pytest cases, runs many agents in parallel, and merges fixes back into one branch. The case study offers a repeatable pattern for evaluating agent tools, so teams can borrow the tmux capture, artifact dashboards, and local-to-Modal handoff.

Nous Research shipped Hermes Agent v0.6.0 with multi-agent profiles, a published changelog, and new OpenWebUI tool-call streaming support. Upgrade if you use Hermes as a local agent, since the release turns it into a multi-profile workspace with a growing plugin and UI ecosystem.

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.

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.

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.

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.