Aside vs OpenViking: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Aside and OpenViking — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Aside

Aside Computer Inc.

Freemium

A Chromium desktop browser with a built-in agent that signs in and completes real work across your logged-in sites.

Agentic Browsing: The agent operates your logged-in websites directly - clicking, typing and navigating - so tasks that need no public API still get done.
Local Memory: Browsing history is distilled into on-device memory files so the agent already knows which tools and accounts a recurring task involves.
Agent Password Manager: Credentials are autofilled into pages through hardware-backed encryption and Secure Enclave storage, never handed to the model.
Human Approval Gates: Sensitive steps such as payments, posts and outbound messages pause for your confirmation before the agent proceeds.
Access Audit Log: Every credential use and scoped permission grant is recorded so you can see exactly what the agent touched and when.
Routines: Scheduled recurring tasks, such as a 9am daily briefing, run on their own and drop results back into the browser.
Bring Your Own Model: Connect an existing ChatGPT or Claude subscription or your own API key rather than paying twice for inference.
Sandboxed Execution: Filesystem and network access are isolated with guardrails so agent runs cannot reach beyond what the task needs.

Operations Backfill: Push the same record update through several internal dashboards that have no shared API.
Recruiting Prep: Reopen a candidate profile viewed yesterday and assemble interview notes from the sites already visited.
Inbox and Comment Triage: Draft replies, follow-ups and comment responses across email and social accounts under review.
Daily Briefing: Schedule a routine that gathers overnight metrics and trending topics into one morning summary.
Sales Research: Work through prospect sites and CRM screens to collect context before an outreach sequence.
Spreadsheet and Document Work: Have the agent edit local files and web spreadsheets as part of a longer task.

Volcano Engine

Free

OpenViking is an open-source context database that stores agent memories, resources, and skills as one browsable virtual filesystem.

Viking:// Virtual Filesystem: Memories, resources, and skills each receive a URI in one unified namespace, so agents browse context with ls, tree, and find instead of querying a black-box store.
Three-Tier Context Layers: Each entry is written as an L0 abstract, L1 overview, and L2 full detail, letting an agent judge relevance cheaply and load full data only when needed.
Directory Recursive Retrieval: Vector search locates the highest-scoring directory first and then descends layer by layer, so retrieved fragments keep their surrounding context.
Observable Retrieval Trajectories: Every query records the directory-browsing path it took, so an incorrect result can be traced back to the exact decision that produced it.
Sessions Become Memory: After a session commits, user preferences and agent experience are asynchronously extracted into long-term memory without blocking the agent.
OpenViking Studio Playground: A hosted browser demo lets you explore the database and retrieval behavior with no local installation.
Published Benchmark Results: Evaluated on LoCoMo long-conversation memory and tau2-bench multi-turn agent tasks, with reproduction scripts included in the repository.

Long-Term Agent Memory: Give a coding or assistant agent persistent recall of user preferences and past sessions across long-running conversations.
Reducing Token Spend: Teams paying for oversized context windows load L0 abstracts for triage and pull L2 detail only for the entries that matter.
Debugging Bad Retrievals: Engineers inspect the recorded browsing trajectory to find out why an agent surfaced the wrong document instead of guessing at embedding behavior.
Knowledge Base Question Answering: Serve structured organizational knowledge to agents with directory-level context preserved around every answer.
Skill and Resource Management: Store reusable agent skills alongside memories and documents in one addressable namespace instead of separate systems.
Upgrading Existing Agent Frameworks: Drop OpenViking behind agents like Claude Code or OpenClaw to raise long-context accuracy without rewriting the agent.