Real Memory AI Agent is out now on VS Code, Chrome. This is how it got made: the decisions, the pipeline, and what I would do differently.
What it is
AI coding agent for VS Code with a Scrum/Agile Kanban board, workspace file edits, validation, screenshots, browser/CLI/MCP workflows, and local/cloud/custom model providers.
The Four Flows
![Real Memory AI Agent flows][store-workflow]
Real Memory AI Agent supports four model flows so tenants can choose speed, simplicity, specialization, or automatic routing.
- Flow: Tenant Ability
- Auto: Let the agent choose the right route for the task, from quick answer to full implementation.
- Direct Model: Use the selected model directly for fast questions, tool-backed workspace work, and provider-native streaming.
- Single Model: Run one selected model across thinking, action, and reporting for simpler deployments.
- Planner + Coder: Use separate planner and coder models for serious project work, stronger scoping, and cleaner implementation results.
These flows are available across the VS Code extension and provider-backed runtime. The browser extension also exposes Direct Model and provider settings in a side
Help Test Real Memory AI Agent
We are looking for developers, agencies, AI builders, browser power users, and teams with real projects to test Real Memory AI Agent and tell us what works, what breaks, and what would make it more useful.
Testers can try the agent in the surfaces they already use:
- VS Code: install the VSIX, open the RM AI Agent chat, connect a provider, and ask it to inspect, edit, validate, document, or explain a real workspace.
- Chrome: load or install the Chrome package, open the side panel, connect a provider, inspect a tab, capture proof, and try browser-safe actions.
- Edge: install the Edge package or load the unpacked build, then test the same side-panel workflow in Microsoft Edge.
- CLI: run chat, ask, and run commands from the terminal for fast local project workflows and automation checks.
- MCP: start the local MCP runtime and verify that compatible clients can reach workspace, terminal, memory, and doctor tools.
What we need feedback on:
- First install experience: what was confusing, slow, missing, or blocked?
- Provider setup: which provider worked, which failed, and what error message helped or did not help?
- Real work results: did it make the correct edits, inspect the right context, validate properly, and summarize honestly?
- Browser behavior: did tab selection, sessions, screenshots, artifacts, and page actions feel clear?
- Workflow visibility: did the…
For AI Platform Tenants
- Expose private model value inside real developer workflows.
- Connect hosted models, custom endpoints, or account-backed services.
- Offer a practical agent surface that can produce visible work, not only answers.
- Expand from VS Code to browser, CLI, web, and MCP without changing the user
VS Code Agent
- Chat-first workspace assistant.
- Model, planner, backend, mode, and thinking controls.
- Sessions and conversation history.
- Workspace file reading, searching, writing, and replacement.
- Active editor context.
- Diagnostics and project inspection.
- Command execution with approval controls.
- Validation, retry, and repair workflows.
- Review banner with changed file count.
- Diff review, approve, reject, and revert actions.
- Activity Log for detailed runtime status.
- Debug backflow levels: None, Simple, or Detail for provider/runtime diagnostics.
- Screenshot validation for UI work.
- RealMemory login and model selection commands.
- Local setup, setup doctor, MCP start/stop, and provider readiness commands.
- Workflow controller settings for system load, max agents, max subagents, evidence requirements, and changed-file attachment.
- Context input controls, compact provider packets, chunked file reads, and lightweight local-model
Latest changes
Changelog
Generated by build: 2026-09-03T21:20:35.894Z
What is next
It is live at https://realmemoryai.com. If you have shipped something similar, I would like to hear what you would have cut.
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