Build context once.
Use it across every agent.
remio builds a private, on-device index before an agent asks. Every compatible agent can then retrieve the exact files, passages, conversations, and decisions it needs.
Build the index before
the agent needs it
No more chaining grep and find commands to assemble context, dumping whole directories into a prompt, or making an agent read a 100-page PDF for the one paragraph that answers the question.
Optimized for modern Intel and AMD CPU/NPU platforms, remio parses, structures, embeds, and indexes common files in advance. RAG retrieves only relevant passages and source references—helping agents use 50% fewer tokens and return results 2× faster.
Retrieve context,
not whole files
Ask in natural language. remio searches the index across files, notes, webpages, emails, and meeting transcripts.
Only the matching passages and source references enter the agent context—less noise, lower token cost, and faster answers.
Verify every answer
against its sources
Grounded RAG keeps each result connected to the original note, document, transcript, or webpage, so agents can check the evidence before they act.
Carry context across
every agent
Bring conversations from Claude Code, Codex, Cursor, and other agents into the same remio knowledge layer.
Claude Code can retrieve the history created in Codex—and Codex can continue from Claude Code—without rebuilding the project background.
On-device context, ready for every agent
remio uses on-device CPU/NPU compute to build the index once, before an agent needs it.
Agents retrieve only the relevant passages, source references, and prior conversations—supporting 50% fewer context tokens and results that arrive 2× faster.
30+
Supported file formats
50% fewer
Tokens used for context
2× faster
Agent results
Your everyday
agent workflows, powered by remio context
The work happens before the prompt: index locally, retrieve precisely, carry context across agents, and save new results back for the next task.
0 1
Index files on device
remio parses common files with on-device CPU/NPU compute, optimized for modern Intel and AMD platforms.
Embeddings, structure, and metadata become a reusable local index before the agent starts.
02
Retrieve context, not whole files
Ask in natural language and retrieve only the matching passages and sources.
Skip repeated grep/find chains, full-directory uploads, and reading a 100-page PDF for one useful paragraph.
03
Carry conversations across agents
Bring conversations from Claude Code, Codex, Cursor, and other agents into remio.
Each agent can retrieve the decisions and reasoning created by another, instead of starting from an empty chat.
04
Write new decisions back
Agents can create and update notes with findings, plans, decisions, and finished work.
The output of this task becomes indexed context for the next one.
05
Keep one context layer growing
Files, meetings, emails, webpages, notes, and agent conversations keep accumulating in one reusable index.
Switch tools without rebuilding the background of the project.
Stop rebuilding context
for every task
remio prepares a reusable, on-device context index once; compatible agents retrieve only what they need, when they need it.
remio | CodeX/Cowork | Gamma/Canva | |
|---|---|---|---|
Native .pptx from start | ✅ | export only | export only |
Content sourced from knowledge base | ✅ | ✅ | 🅧 |
Every element editable | ✅ | 🅧 | partial |
Multi-turn conversation editing | ✅ | partial | partial |
Local data storage | ✅ | 🅧 | 🅧 |
For the best experience, remio currently supports Windows 10+ (x64) and Macs with Apple silicon.
Three ways agents use remio CLI
RETRIEVE
Search and read
Search notes and connected knowledge sources, filter the results, and read the original materials required for the task.
ASK
Grounded knowledge-base Q&A
Ask questions across your work context and receive synthesized answers with traceable source references.
WRITE
Update and organize
Create and update notes, append new findings, organize knowledge into collections, and keep completed work available for the next agent.
remio meets all your needs about knowledge
Learn more features
Capture resources from websites, local folders & files.
Get instant, reliable answers from your entire knowledge base.
Create an editable, native PPTX
with your personal experience.
Unlimited free recording and transcription, no-bot.
FAQs
remio CLI is a command-line interface that lets external AI agents search, retrieve, read, and update the knowledge organized in remio.
Which AI agents can use remio CLI?
An agent can work with the notes and knowledge sources available in remio, including local files, webpages, meetings, emails, Slack messages, research materials, and other connected sources. Actual access depends on the knowledge sources and permissions configured by the user.
Yes. The CLI supports creating and updating notes, adding information, organizing notes into collections, and managing selected note properties. High-impact or destructive operations should remain subject to user approval.
remio keeps core data, file parsing, search, indexing, recording, and transcription on your device. If you choose a cloud AI model or an external agent, the data sent to that service depends on the model and tool configuration you select.