The anatomy of
remii's automation.
remii combines cutting-edge LLMs with robust infrastructure. Remi gets straight to work, navigating interfaces and taking action—not just summarizing what it's going to do. Here is exactly what happens under the hood when you send a command.
STEP 01Intent Parsing
When you send a message via Telegram or the Web Dashboard, remii's natural language engine analyzes your request to understand the ultimate goal, extracting entities, deadlines, and context.
STEP 02Task Breakdown
The main goal is passed to our Task Planner. It breaks the objective down into smaller, sequential subtasks (e.g., '1. Read email, 2. Draft response, 3. Send email').
STEP 03Tool Selection
For each subtask, remii evaluates its connected integrations (via Composio) and selects the right tools for the job, requesting necessary permissions if required.
STEP 04Secure Execution
remii executes the action within a secure, isolated cloud sandbox. It makes API calls or automates a headless browser on your behalf, using your authenticated OAuth tokens.
STEP 05Evaluation & Recovery
remii reviews the output of the action. If it succeeded, it moves to the next subtask. If it encountered an error (e.g., 'Rate Limit Exceeded' or 'Element Not Found'), it pauses, analyzes the error, and formulates a recovery strategy.
STEP 06Completion & Reporting
Once all subtasks are complete, remii synthesizes the results and sends you a concise summary of what was accomplished directly to your preferred channel.
Enterprise-Grade Infrastructure
Composio Integration Layer
We leverage Composio to handle OAuth authentication and API interactions securely. Your credentials are never stored in plaintext and are injected dynamically only during execution.
Containerized Execution
Every agent session runs in a highly isolated container sandbox. This ensures that memory, network access, and data are strictly separated between users and sessions.