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Hermes Agent includes two model-callable web tools backed by multiple providers:

• web_search — search the web and return ranked results
• web_extract — fetch and extract readable content from one or more URLs

Both are configured through a single backend selection. Providers are chosen via hermes tools or set directly in config.yaml.

Brave Search, DDGS, and xAI are search-only — pair any of them with Firecrawl/Tavily/Exa/Parallel when you also need web_extract. DDGS uses the ddgs Python package ↗ under the hood; if it isn't already installed, run pip install ddgs (or let Hermes lazy-install it on first use). xAI runs Grok's server-side web_search tool on the Responses API — results are LLM-generated rather than index-backed, so titles, descriptions, and URL choice are all model output (see the trust-model caveat ↗ below).

Per-capability split: you can use different providers for search and extract independently — for example SearXNG (free) for search and Firecrawl for extract. See Per-capability configuration ↗ below.

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Backends return raw page markdown, which can be huge (forum threads, docs sites, news articles with embedded comments). To keep your context window usable, web_extract applies a deterministic character budget — no LLM summarization is involved:

The per-page budget is configurable via web.extract_char_limit in config.yaml (default 15000, clamped to 2 000–500 000), and the agent can raise it per-call with the tool's char_limit argument.

When truncation gets in the way

If you specifically need the live DOM rather than extracted markdown — for example, a JS-heavy page where extraction returns little content — use browser_navigate + browser_snapshot instead. The browser tool returns the live accessibility tree (subject to its own snapshot cap on huge pages).

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Quick setup via hermes tools

Run hermes tools, navigate to Web Search & Extract, and pick a provider. The wizard prompts for the required URL or API key and writes it to your config.

hermes tools

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Firecrawl (default)

Full-featured search and extract. Recommended for most users.

# ~/.hermes/.env
FIRECRAWL_API_KEY=fc-your-key-here

Get a key at firecrawl.dev ↗. The free tier includes 500 credits/month.

Self-hosted Firecrawl: Point at your own instance instead of the cloud API:

# ~/.hermes/.env
FIRECRAWL_API_URL=http://localhost:3002

When FIRECRAWL_API_URL is set, the API key is optional (disable server auth with USE_DB_AUTHENTICATION=false).

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SearXNG (free, self-hosted)

SearXNG is a privacy-respecting, open-source metasearch engine that aggregates results from 70+ search engines. No API key required — just point Hermes at a running SearXNG instance.

SearXNG is search-only — web_extract requires a separate extract provider.

Option A — Self-host with Docker (recommended)

This gives you a private instance with no rate limits.

1. Create a working directory:

mkdir -p ~/searxng/searxng
cd ~/searxng

2. Write a docker-compose.yml:

# ~/searxng/docker-compose.yml
services:
  searxng:
    image: searxng/searxng:latest
    container_name: searxng
    ports:
      - "8888:8080"
    volumes:
      - ./searxng:/etc/searxng:rw
    environment:
      - SEARXNG_BASE_URL=http://localhost:8888/
    restart: unless-stopped

3. Start the container:

docker compose up -d

4. Enable the JSON API format:

SearXNG ships with JSON output disabled by default. Copy the generated config and enable it:

# Copy the auto-generated config out of the container
docker cp searxng:/etc/searxng/settings.yml ~/searxng/searxng/settings.yml

Open ~/searxng/searxng/settings.yml. If use_default_settings: true is present, the file only contains your overrides. All other settings are inherited from the built-in defaults. To enable JSON responses for Hermes, add the following override:

search:
  formats:
    - html
    - json

Your settings.yml should look similar to:

# Read the documentation before extending the defaults:
# https://docs.searxng.org/admin/settings/

use_default_settings: true

server:
  secret_key: "abcdef12345678"
  image_proxy: true

search:
  formats:
    - html
    - json

5. Restart to apply:

docker cp ~/searxng/searxng/settings.yml searxng:/etc/searxng/settings.yml
docker restart searxng

6. Verify it works:

curl -s "http://localhost:8888/search?q=test&format=json" | python3 -c \
  "import sys,json; d=json.load(sys.stdin); print(f'{len(d[\"results\"])} results')"

You should see something like 10 results. If you get a 403 Forbidden, JSON format is still disabled — recheck step 4.

7. Configure Hermes:

# ~/.hermes/.env
SEARXNG_URL=http://localhost:8888

Then select SearXNG as the search backend in ~/.hermes/config.yaml:

web:
  search_backend: "searxng"

Or set via hermes tools → Web Search & Extract → SearXNG.

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Option B — Use a public instance

Public SearXNG instances are listed at searx.space ↗. Filter by instances that have JSON format enabled (shown in the table).

# ~/.hermes/.env
SEARXNG_URL=https://searx.example.com

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Pair SearXNG with an extract provider

SearXNG handles search; you need a separate provider for web_extract. Use the per-capability keys:

# ~/.hermes/config.yaml
web:
  search_backend: "searxng"
  extract_backend: "firecrawl"   # or tavily, exa, parallel

With this config, Hermes uses SearXNG for all search queries and Firecrawl for URL extraction — combining free search with high-quality extraction.

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Tavily

AI-optimised search and extract with a generous free tier.

# ~/.hermes/.env
TAVILY_API_KEY=tvly-your-key-here

Get a key at app.tavily.com ↗. The free tier includes 1 000 searches/month.

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Exa

Neural search with semantic understanding. Good for research and finding conceptually related content.

# ~/.hermes/.env
EXA_API_KEY=your-exa-key-here

Get a key at exa.ai ↗. The free tier includes 1 000 searches/month.

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Parallel

AI-native search and extraction with deep research capabilities.

# ~/.hermes/.env
PARALLEL_API_KEY=your-parallel-key-here

Get access at parallel.ai ↗.

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xAI (Grok)

Routes web_search through Grok's server-side web_search tool ↗ on the Responses API. Grok runs the actual searching and returns the top results as structured JSON.

Works with either credential path — no new env vars, no new setup wizard:

# ~/.hermes/.env (env-var path)
XAI_API_KEY=sk-xai-your-key-here

or for SuperGrok subscribers:

hermes auth add xai-oauth

Then select xAI as the search backend:

# ~/.hermes/config.yaml
web:
  backend: "xai"

Optional knobs:

web:
  backend: "xai"
  xai:
    model: grok-build-0.1        # reasoning model required by web_search (default)
    allowed_domains:             # optional, max 5 — mutex with excluded_domains
      - arxiv.org
    excluded_domains:            # optional, max 5
      - example-spam.com
    timeout: 90                  # seconds (default)

Search-only — pair with Firecrawl / Tavily / Exa / Parallel if you also need web_extract. On 401 the provider performs a single forced OAuth-token refresh and retries (covers mid-window revocation and opaque tokens the proactive expiry check can't decode); env-var credentials skip the retry.

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Single backend

Set one provider for all web capabilities:

# ~/.hermes/config.yaml
web:
  backend: "searxng"   # firecrawl | searxng | brave-free | ddgs | tavily | exa | parallel | xai

Per-capability configuration

Use different providers for search vs extract. This lets you combine free search (SearXNG) with a paid extract provider, or vice versa:

# ~/.hermes/config.yaml
web:
  search_backend: "searxng"     # used by web_search
  extract_backend: "firecrawl"  # used by web_extract

When per-capability keys are empty, both fall through to web.backend. When web.backend is also empty, the backend is auto-detected from whichever API key/URL is present.

Priority order (per capability):

1. web.search_backend / web.extract_backend (explicit per-capability)
2. web.backend (shared fallback)
3. Auto-detect from environment variables

Auto-detection

If no backend is explicitly configured, Hermes picks the first available one based on which credentials are set:

xAI Web Search is not in the auto-detection chain — having XAI_API_KEY set (or being signed in via xAI Grok OAuth) does not automatically route web traffic through xAI, since those credentials are also used for inference / TTS / image gen and the user may want a different backend for web. Opt in explicitly with web.backend: "xai".

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Run hermes setup to see which web backend is detected:

✅ Web Search & Extract (searxng)

Or check via the CLI:

# Activate the venv and run the web tools module directly
source ~/.hermes/hermes-agent/.venv/bin/activate
python -m tools.web_tools

This prints the active backend and its status:

✅ Web backend: searxng
   Using SearXNG (search only): http://localhost:8888

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websearch returns {"success": false}

• Check SEARXNG_URL is reachable: curl -s "http://localhost:8888/search?q=test&format=json"
• If you get HTTP 403, JSON format is disabled — add json to the formats list in settings.yml and restart
• If you get a connection error, the container may not be running: docker ps | grep searxng

webextract says "search-only backend"

SearXNG cannot extract URL content. Set web.extract_backend to a provider that supports extraction:

web:
  search_backend: "searxng"
  extract_backend: "firecrawl"  # or tavily / exa / parallel

SearXNG returns 0 results

Some public instances disable certain search engines or categories. Try:

• A different query
• A different public instance from searx.space ↗
• Self-hosting your own instance for reliable results

Rate limited on a public instance

Switch to a self-hosted instance (see Option A ↗ above). With Docker, your own instance has no rate limits.

webextract returns truncated content with a [TRUNCATED] footer

That's expected for pages over the character budget. The footer names the on-disk file holding the full clean text and the exact read_file call to page through the omitted middle. To see more inline, raise web.extract_char_limit in config.yaml or pass a larger char_limit on the call.

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For agents that need to use SearXNG via curl directly (e.g. as a fallback when the web toolset isn't available), install the searxng-search optional skill:

hermes skills install official/research/searxng-search

This adds a skill that teaches the agent how to:

• Call the SearXNG JSON API via curl or Python
• Filter by category (general, news, science, etc.)
• Handle pagination and error cases
• Fall back gracefully when SearXNG is unreachable