Hermes Agent Adds Asynchronous Subagents, So Delegated Work No Longer Blocks the Parent Chat

Nous Research has updated its open-source Hermes Agent to support asynchronous subagents, allowing delegated tasks to run in the background without blocking the parent chat. The update introduces a new async_delegation toolset that enables spawning, checking, steering, collecting, and canceling background agents. This change unblocks workflows where users need to run long tasks while continuing to interact with the parent agent.

Nous Research has shipped a change to Hermes Agent. Its delegate tool can now run subagents asynchronously. Per the announcement, delegated work no longer blocks the parent chat. Hermes Agent is an open-source personal agent from Nous Research. A parent agent can spawn child agents, called subagents, to fan out work. Until now, that delegation made you wait. The update was announced on X by Nous Research and co-founder Teknium. Existing users enable it by running hermes update . What are Subagents The delegation tool is delegate task . It spawns a subagent, which is an isolated child agent. Each child gets its own conversation, terminal session, and toolset. Only the final summary returns to the parent. The parent’s context never sees the child’s intermediate tool calls or reasoning. That keeps the parent’s context window small. Isolation is strict. Subagents start with a completely fresh conversation. They have no knowledge of the parent’s history. The parent must pass everything through the goal and context fields. Subagents inherit the parent’s API key, provider configuration, and credential pool. That credential pool enables key rotation on rate limits. You can route subagents to a cheaper model through config.yaml . What Was Blocking, and What Changed In source, delegate task is synchronous. The parent blocks inside the tool call until every child completes. Your chat stays frozen during that wait. That design prevented several workflows. You could not start a long agent and keep working. You could not check in on a run or steer it mid-flight. Nous built the non-blocking path in the open. Issue 5586 adds an async delegation toolset. It spawns a background agent and returns a task id immediately. The announcement confirms async subagents are now available. The async tools cover the full lifecycle: delegate task async — spawn a background agent, return a task id check task — non-blocking status plus recent output steer task — inject a message into a running task collect task — block until done, then return the full result cancel task — stop a running task list tasks — all async tasks in the session Background agents run as in-process threads. They reuse the same AIAgent machinery, credentials, and toolsets as delegate task . Synchronous vs Asynchronous Delegation | Dimension | Synchronous delegate task | Asynchronous delegation async delegation , 5586 | |---|---|---| | Parent chat | Blocks until all children finish | Returns a task id immediately; chat stays free | | Control while running | None — you wait | Check status, steer, collect, or cancel per task | | Execution | Parent waits inside the tool call | Background in-process threads | | Context cost | Only the final summary returns | Only the final summary returns | | Isolation | Fresh conversation per child | Fresh conversation per child | | Best for | Quick fan-out you wait on | Long tasks you run alongside the chat | | Durability | Not durable across turns | Single-session; ACP 4949 targets cross-turn | Code: Spawning and Steering A synchronous batch spawns children in parallel and waits. Concurrency is capped by delegation.max concurrent children , which defaults to 3. Synchronous: the parent waits for all children delegate task tasks= {"goal": "Research topic A", "toolsets": "web" }, {"goal": "Fix the build", "toolsets": "terminal", "file" }, The async toolset from issue 5586 returns control immediately. Asynchronous async delegation toolset, issue 5586 t1 = delegate task async goal="Research topic A" t2 = delegate task async goal="Research topic B" check task t1 "task id" status, without blocking steer task t2 "task id" , "Use post-2024 sources only" results = collect task t "task id" for t in t1, t2 Use Cases With Examples - Long research alongside work. Start a subagent on a market scan. Keep drafting in the main chat while it runs. - Parallel approach evaluation. Spawn three subagents to test three search backends. Each stays isolated, so evaluations do not cross-contaminate. - Background coding tasks. Delegate a multi-file refactor to a subagent. Review other files yourself while it works. - Monitoring runs. The TUI ships an /agents overlay, aliased /tasks . It shows a live tree of running and finished subagents. Key Takeaways - Hermes Agent now supports asynchronous subagents; the delegate tool no longer blocks the parent chat. - Non-blocking delegation ships via the async delegation toolset, tracked in issue 5586. - Async tools cover the lifecycle: spawn, check, steer, collect, cancel, and list tasks. - Subagents stay isolated; only the final summary returns, keeping the parent context small. - It runs in-process and single-session; existing users enable it with hermes update . Sources - Teknium on X — announcement of asynchronous subagents: https://x.com/Teknium/status/2066619275989991861 - Nous Research on X: https://x.com/NousResearch/status/2066619860852134384 - Hermes Agent docs, Subagent Delegation: https://hermes-agent.nousresearch.com/docs/user-guide/features/delegation - Hermes Agent docs, Delegation & Parallel Work: https://hermes-agent.nousresearch.com/docs/guides/delegation-patterns - GitHub issue 5586, non-blocking background agent delegation async delegation toolset : https://github.com/NousResearch/hermes-agent/issues/5586 - GitHub issue 4949, persistent ACP background subagents referenced in 5586 - NousResearch/hermes-agent repository: https://github.com/NousResearch/hermes-agent Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels at transforming complex datasets into actionable insights. - Michal Sutter - Michal Sutter - Michal Sutter - Michal Sutter - Michal Sutter