Your docs
become OpenClaw-native
context with grounded retrieval
The plugin uses Knowhere for parsing and job orchestration, stores the returned result package inside OpenClaw-managed local storage, and gives agents a browse-first path to previews, chunks, hierarchy, and raw files before they answer.
Result packages
Store once. Reopen anytime.
Knowhere parses the document, OpenClaw stores the returned package locally, and agents can reopen the exact manifest, hierarchy, chunks, and raw files later.
Tool surface
Browse before the answer.
The plugin registers `knowhere_*` tools for preview, grep, raw-file reads, cleanup, and explicit ingest flows instead of forcing everything through one opaque call.
Auto-grounding
Context arrives when it matters.
When `autoGrounding` is enabled, OpenClaw can auto-ingest attachments and inject compact document availability or status context right into the agent loop.
Grounded Answer Flow
One dense report in.
One grounded OpenClaw answer out.
This is the interaction model the plugin is built for: Knowhere extracts structure, OpenClaw stores the package, and the agent answers only after it has previewed or reopened the right evidence.
Raw source
Full PDF page preview.
Zoom only where the evidence lives.
Did Tesla's free cash flow go negative in any quarter? Show the supporting chunk.
Yes. Q1 2024 is the only negative quarter. Operating cash fell to $242M while CapEx stayed at $2,777M.
−$2,535M
What should I inspect if I want the raw source instead of the answer?
Open the preview first, grep for the metric, then read the exact result file behind that chunk. The plugin keeps the path surface intact.
preview → grep → read_result_file
Integration Guide
Install it in OpenClaw
in three commands.
Follow the same rhythm as a developer-tool homepage: read the steps once, copy the commands in order, and replace the API key only in step 02.
Package
No config wall, no runtime internals, and no extra surface to learn. Install the package, attach the API key, then enable the plugin.
ClawHub Skill
If you install from ClawHub, look for the skill named Knowhere.
- 01
Install package
Add the packaged runtime so OpenClaw can load the bundled knowhere skill.
- 02
Attach API key
Connect this OpenClaw instance to your Knowhere account.
- 03
Enable plugin
Turn the entry on so agents can load the plugin inside the runtime.
Install package
Add the packaged runtime so OpenClaw can load the bundled knowhere skill.
$ openclaw plugins install @ontos-ai/knowhere-claw
Only edit step 02
Everything else can be pasted exactly as shown. The API key line is the only place where you replace a value.
Call to action
Bring Knowhere into OpenClaw.
Install the plugin, point it at your API key, and give OpenClaw a browse-first way to inspect documents before an agent answers.
PDFs, scanned files, tables, manifests, chunks, and raw result files stay reopenable instead of disappearing into one generated reply.
What changes inside OpenClaw
knowhere_* tools
Preview, grep, raw-file reads, ingest, and cleanup become callable in one place.
Browse-first evidence
Agents can reopen manifest, hierarchy, chunks, and raw files before answering.
Scoped local storage
Result packages stay reusable across session, agent, or global scopes.
"I found the supporting chunk, reopened the result file, and answered with the exact evidence instead of improvising."