chore: sync with upstream main (2026-05-06)

.env.example

@@ -244,6 +244,15 @@ BROWSERBASE_PROXIES=true
 # Uses custom Chromium build to avoid bot detection altogether
 BROWSERBASE_ADVANCED_STEALTH=false
 
+# Browser engine for local mode (default: auto = Chrome)
+# "auto"       — use Chrome (don't pass --engine flag)
+# "lightpanda" — use Lightpanda (1.3-5.8x faster navigation, no screenshots)
+# "chrome"     — explicitly request Chrome
+# Requires agent-browser v0.25.3+. Lightpanda commands that fail or return
+# empty results are automatically retried with Chrome.
+# Also configurable via browser.engine in config.yaml.
+# AGENT_BROWSER_ENGINE=auto
+
 # Browser session timeout in seconds (default: 300)
 # Sessions are cleaned up after this duration of inactivity
 BROWSER_SESSION_TIMEOUT=300

AGENTS.md

@@ -37,12 +37,17 @@ hermes-agent/
 │   ├── platforms/        # Adapter per platform (telegram, discord, slack, whatsapp,
 │   │                     #   homeassistant, signal, matrix, mattermost, email, sms,
 │   │                     #   dingtalk, wecom, weixin, feishu, qqbot, bluebubbles,
-│   │                     #   webhook, api_server, ...). See ADDING_A_PLATFORM.md.
+│   │                     #   yuanbao, webhook, api_server, ...). See ADDING_A_PLATFORM.md.
 │   └── builtin_hooks/    # Extension point for always-registered gateway hooks (none shipped)
 ├── plugins/              # Plugin system (see "Plugins" section below)
 │   ├── memory/           # Memory-provider plugins (honcho, mem0, supermemory, ...)
 │   ├── context_engine/   # Context-engine plugins
-│   └── <others>/         # Dashboard, image-gen, disk-cleanup, examples, ...
+│   ├── kanban/           # Multi-agent board dispatcher + worker plugin
+│   ├── hermes-achievements/  # Gamified achievement tracking
+│   ├── observability/    # Metrics / traces / logs plugin
+│   ├── image_gen/        # Image-generation providers
+│   └── <others>/         # disk-cleanup, example-dashboard, google_meet, platforms,
+│                         #   spotify, strike-freedom-cockpit, ...
 ├── optional-skills/      # Heavier/niche skills shipped but NOT active by default
 ├── skills/               # Built-in skills bundled with the repo
 ├── ui-tui/               # Ink (React) terminal UI — `hermes --tui`
@@ -53,7 +58,7 @@ hermes-agent/
 ├── environments/         # RL training environments (Atropos)
 ├── scripts/              # run_tests.sh, release.py, auxiliary scripts
 ├── website/              # Docusaurus docs site
-└── tests/                # Pytest suite (~15k tests across ~700 files as of Apr 2026)
+└── tests/                # Pytest suite (~17k tests across ~900 files as of May 2026)
 ```
 
 **User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys only).
@@ -289,9 +294,9 @@ registry.register(
 )
 ```
 
-**2. Add to `toolsets.py`** — either `_HERMES_CORE_TOOLS` (all platforms) or a new toolset.
+**2. Add to `toolsets.py`** — either `_HERMES_CORE_TOOLS` (all platforms) or a new toolset. **This step is required:** auto-discovery imports the tool and registers its schema, but the tool is only *exposed to an agent* if its name appears in a toolset. `_HERMES_CORE_TOOLS` is not dead code — it's the default bundle every platform's base toolset inherits from.
 
-Auto-discovery: any `tools/*.py` file with a top-level `registry.register()` call is imported automatically — no manual import list to maintain.
+Auto-discovery: any `tools/*.py` file with a top-level `registry.register()` call is imported automatically — no manual import list to maintain. Wiring into a toolset is still a deliberate, manual step.
 
 The registry handles schema collection, dispatch, availability checking, and error wrapping. All handlers MUST return a JSON string.
 
@@ -313,6 +318,22 @@ The registry handles schema collection, dispatch, availability checking, and err
    section is handled automatically by the deep-merge and does NOT require
    a version bump.
 
+### Top-level `config.yaml` sections (non-exhaustive):
+
+`model`, `agent`, `terminal`, `compression`, `display`, `stt`, `tts`,
+`memory`, `security`, `delegation`, `smart_model_routing`, `checkpoints`,
+`auxiliary`, `curator`, `skills`, `gateway`, `logging`, `cron`, `profiles`,
+`plugins`, `honcho`.
+
+`auxiliary` holds per-task overrides for side-LLM work (curator, vision,
+embedding, title generation, session_search, etc.) — each task can pin
+its own provider/model/base_url/max_tokens/reasoning_effort. See
+`agent/auxiliary_client.py::_resolve_auto` for resolution order.
+
+`curator` holds the background skill-maintenance config —
+`enabled`, `interval_hours`, `min_idle_hours`, `stale_after_days`,
+`archive_after_days`, `backup` (nested).
+
 ### .env variables (SECRETS ONLY — API keys, tokens, passwords):
 1. Add to `OPTIONAL_ENV_VARS` in `hermes_cli/config.py` with metadata:
 ```python
@@ -519,11 +540,176 @@ niche skills belong in `optional-skills/`.
 
 ### SKILL.md frontmatter
 
-Standard fields: `name`, `description`, `version`, `platforms`
-(OS-gating list: `[macos]`, `[linux, macos]`, ...),
+Standard fields: `name`, `description`, `version`, `author`, `license`,
+`platforms` (OS-gating list: `[macos]`, `[linux, macos]`, ...),
 `metadata.hermes.tags`, `metadata.hermes.category`,
-`metadata.hermes.config` (config.yaml settings the skill needs — stored
-under `skills.config.<key>`, prompted during setup, injected at load time).
+`metadata.hermes.related_skills`, `metadata.hermes.config` (config.yaml
+settings the skill needs — stored under `skills.config.<key>`, prompted
+during setup, injected at load time).
+
+Top-level `tags:` and `category:` are also accepted and mirrored from
+`metadata.hermes.*` by the loader.
+
+---
+
+## Toolsets
+
+All toolsets are defined in `toolsets.py` as a single `TOOLSETS` dict.
+Each platform's adapter picks a base toolset (e.g. Telegram uses
+`"messaging"`); `_HERMES_CORE_TOOLS` is the default bundle most
+platforms inherit from.
+
+Current toolset keys: `browser`, `clarify`, `code_execution`, `cronjob`,
+`debugging`, `delegation`, `discord`, `discord_admin`, `feishu_doc`,
+`feishu_drive`, `file`, `homeassistant`, `image_gen`, `kanban`, `memory`,
+`messaging`, `moa`, `rl`, `safe`, `search`, `session_search`, `skills`,
+`spotify`, `terminal`, `todo`, `tts`, `video`, `vision`, `web`, `yuanbao`.
+
+Enable/disable per platform via `hermes tools` (the curses UI) or the
+`tools.<platform>.enabled` / `tools.<platform>.disabled` lists in
+`config.yaml`.
+
+---
+
+## Delegation (`delegate_task`)
+
+`tools/delegate_tool.py` spawns a subagent with an isolated
+context + terminal session. Synchronous: the parent waits for the
+child's summary before continuing its own loop — if the parent is
+interrupted, the child is cancelled.
+
+Two shapes:
+
+- **Single:** pass `goal` (+ optional `context`, `toolsets`).
+- **Batch (parallel):** pass `tasks: [...]` — each gets its own subagent
+  running concurrently. Concurrency is capped by
+  `delegation.max_concurrent_children` (default 3).
+
+Roles:
+
+- `role="leaf"` (default) — focused worker. Cannot call `delegate_task`,
+  `clarify`, `memory`, `send_message`, `execute_code`.
+- `role="orchestrator"` — retains `delegate_task` so it can spawn its
+  own workers. Gated by `delegation.orchestrator_enabled` (default true)
+  and bounded by `delegation.max_spawn_depth` (default 2).
+
+Key config knobs (under `delegation:` in `config.yaml`):
+`max_concurrent_children`, `max_spawn_depth`, `child_timeout_seconds`,
+`orchestrator_enabled`, `subagent_auto_approve`, `inherit_mcp_toolsets`,
+`max_iterations`.
+
+Synchronicity rule: delegate_task is **not** durable. For long-running
+work that must outlive the current turn, use `cronjob` or
+`terminal(background=True, notify_on_complete=True)` instead.
+
+---
+
+## Curator (skill lifecycle)
+
+Background skill-maintenance system that tracks usage on agent-created
+skills and auto-archives stale ones. Users never lose skills; archives
+go to `~/.hermes/skills/.archive/` and are restorable.
+
+- **Core:** `agent/curator.py` (review loop, auto-transitions, LLM review
+  prompt) + `agent/curator_backup.py` (pre-run tar.gz snapshots).
+- **CLI:** `hermes_cli/curator.py` wires `hermes curator <verb>` where
+  verbs are: `status`, `run`, `pause`, `resume`, `pin`, `unpin`,
+  `archive`, `restore`, `prune`, `backup`, `rollback`.
+- **Telemetry:** `tools/skill_usage.py` owns the sidecar
+  `~/.hermes/skills/.usage.json` — per-skill `use_count`, `view_count`,
+  `patch_count`, `last_activity_at`, `state` (active / stale /
+  archived), `pinned`.
+
+Invariants:
+- Curator only touches skills with `created_by: "agent"` provenance —
+  bundled + hub-installed skills are off-limits.
+- Never deletes; max destructive action is archive.
+- Pinned skills are exempt from every auto-transition and from the
+  LLM review pass.
+- `skill_manage(action="delete")` refuses pinned skills; patch/edit/
+  write_file/remove_file go through so the agent can keep improving
+  pinned skills.
+
+Config section (`curator:` in `config.yaml`):
+`enabled`, `interval_hours`, `min_idle_hours`, `stale_after_days`,
+`archive_after_days`, `backup.*`.
+
+Full user-facing docs: `website/docs/user-guide/features/curator.md`.
+
+---
+
+## Cron (scheduled jobs)
+
+`cron/jobs.py` (job store) + `cron/scheduler.py` (tick loop). Agents
+schedule jobs via the `cronjob` tool; users via `hermes cron <verb>`
+(`list`, `add`, `edit`, `pause`, `resume`, `run`, `remove`) or the
+`/cron` slash command.
+
+Supported schedule formats:
+- Duration: `"30m"`, `"2h"`, `"1d"`
+- "every" phrase: `"every 2h"`, `"every monday 9am"`
+- 5-field cron expression: `"0 9 * * *"`
+- ISO timestamp (one-shot): `"2026-06-01T09:00:00Z"`
+
+Per-job fields include `skills` (load specific skills), `model` /
+`provider` overrides, `script` (pre-run data-collection script whose
+stdout is injected into the prompt; `no_agent=True` turns the script
+into the entire job), `context_from` (chain job A's last output into
+job B's prompt), `workdir` (run in a specific directory with its
+`AGENTS.md`/`CLAUDE.md` loaded), and multi-platform delivery.
+
+Hardening invariants:
+- **3-minute hard interrupt** on cron sessions — runaway agent loops
+  cannot monopolize the scheduler.
+- Catchup window: half the job's period, clamped to 120s–2h.
+- Grace window: 120s for one-shot jobs whose fire time was missed.
+- File lock at `~/.hermes/cron/.tick.lock` prevents duplicate ticks
+  across processes.
+- Cron sessions pass `skip_memory=True` by default; memory providers
+  intentionally do not run during cron.
+
+Cron deliveries are **not** mirrored into the target gateway session —
+they land in their own cron session with a header/footer frame so the
+main conversation's message-role alternation stays intact.
+
+---
+
+## Kanban (multi-agent work queue)
+
+Durable SQLite-backed board that lets multiple profiles / workers
+collaborate on shared tasks. Users drive it via `hermes kanban <verb>`;
+workers spawned by the dispatcher drive it via a dedicated `kanban_*`
+toolset so their schema footprint is zero when they're not inside a
+kanban task.
+
+- **CLI:** `hermes_cli/kanban.py` wires `hermes kanban` with verbs
+  `init`, `create`, `list` (alias `ls`), `show`, `assign`, `link`,
+  `unlink`, `comment`, `complete`, `block`, `unblock`, `archive`,
+  `tail`, plus less-commonly-used `watch`, `stats`, `runs`, `log`,
+  `assignees`, `heartbeat`, `notify-*`, `dispatch`, `daemon`, `gc`.
+- **Worker toolset:** `tools/kanban_tools.py` exposes `kanban_show`,
+  `kanban_complete`, `kanban_block`, `kanban_heartbeat`, `kanban_comment`,
+  `kanban_create`, `kanban_link` — gated by `HERMES_KANBAN_TASK` so
+  the schema only appears for processes actually running as a worker.
+- **Dispatcher:** long-lived loop that (default every 60s) reclaims
+  stale claims, promotes ready tasks, atomically claims, and spawns
+  assigned profiles. Runs **inside the gateway** by default via
+  `kanban.dispatch_in_gateway: true`.
+- **Plugin assets:** `plugins/kanban/dashboard/` (web UI) +
+  `plugins/kanban/systemd/` (`hermes-kanban-dispatcher.service` for
+  standalone dispatcher deployment).
+
+Isolation model:
+- **Board** is the hard boundary — workers are spawned with
+  `HERMES_KANBAN_BOARD` pinned in their env so they can't see other
+  boards.
+- **Tenant** is a soft namespace *within* a board — one specialist
+  fleet can serve multiple businesses with workspace-path + memory-key
+  isolation.
+- After ~5 consecutive spawn failures on the same task the dispatcher
+  auto-blocks it to prevent spin loops.
+
+Full user-facing docs: `website/docs/user-guide/features/kanban.md`.
 
 ---
 

README.md

@@ -9,6 +9,7 @@
   <a href="https://discord.gg/NousResearch"><img src="https://img.shields.io/badge/Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord"></a>
   <a href="https://github.com/NousResearch/hermes-agent/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-green?style=for-the-badge" alt="License: MIT"></a>
   <a href="https://nousresearch.com"><img src="https://img.shields.io/badge/Built%20by-Nous%20Research-blueviolet?style=for-the-badge" alt="Built by Nous Research"></a>
+  <a href="README.zh-CN.md"><img src="https://img.shields.io/badge/Lang-中文-red?style=for-the-badge" alt="中文"></a>
 </p>
 
 **The self-improving AI agent built by [Nous Research](https://nousresearch.com).** It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM.
@@ -21,7 +22,7 @@ Use any model you want — [Nous Portal](https://portal.nousresearch.com), [Open
 <tr><td><b>A closed learning loop</b></td><td>Agent-curated memory with periodic nudges. Autonomous skill creation after complex tasks. Skills self-improve during use. FTS5 session search with LLM summarization for cross-session recall. <a href="https://github.com/plastic-labs/honcho">Honcho</a> dialectic user modeling. Compatible with the <a href="https://agentskills.io">agentskills.io</a> open standard.</td></tr>
 <tr><td><b>Scheduled automations</b></td><td>Built-in cron scheduler with delivery to any platform. Daily reports, nightly backups, weekly audits — all in natural language, running unattended.</td></tr>
 <tr><td><b>Delegates and parallelizes</b></td><td>Spawn isolated subagents for parallel workstreams. Write Python scripts that call tools via RPC, collapsing multi-step pipelines into zero-context-cost turns.</td></tr>
-<tr><td><b>Runs anywhere, not just your laptop</b></td><td>Six terminal backends — local, Docker, SSH, Daytona, Singularity, and Modal. Daytona and Modal offer serverless persistence — your agent's environment hibernates when idle and wakes on demand, costing nearly nothing between sessions. Run it on a $5 VPS or a GPU cluster.</td></tr>
+<tr><td><b>Runs anywhere, not just your laptop</b></td><td>Seven terminal backends — local, Docker, SSH, Singularity, Modal, Daytona, and Vercel Sandbox. Daytona and Modal offer serverless persistence — your agent's environment hibernates when idle and wakes on demand, costing nearly nothing between sessions. Run it on a $5 VPS or a GPU cluster.</td></tr>
 <tr><td><b>Research-ready</b></td><td>Batch trajectory generation, Atropos RL environments, trajectory compression for training the next generation of tool-calling models.</td></tr>
 </table>