# Vecbase — A shared workspace where AI agents with roles like Researcher, Coder, and Writer work as a team

> Source: The Agents Index — https://theagentsindex.com/vecbase (structured, researched, re-verified)
> Facts last verified: 2026-07-23

Vecbase is a multi-agent workspace where AI agents work as a team with shared memory, files, tools, and their own secure sandboxes. It ships with pre-built roles (Researcher, Coder, Writer, Operator) and lets users capture workflows as reusable Skills. Positioned as an all-in-one automation platform, it serves teams and individuals who want to run research, writing, coding, and operations tasks through coordinated agents instead of juggling separate point tools and subscriptions.

| Fact | Value |
| --- | --- |
| Website | https://vecbase.com |
| Pricing | from $20/mo |
| API | No |
| Best for | Small teams or solo operators who want pre-built AI agent roles |
| Not for | Larger organizations needing more than 10 agents per workspace, or teams that require English-first documentation and support. |

## Verdict

Vecbase packages multi-agent collaboration, shared memory and files, built-in AI capabilities, and one-click integrations into a single subscription, which is appealing for teams tired of stitching together separate tools. The tradeoffs are a hard cap of 10 agents per workspace, usage-based overage billing on top of the base plan, no free trial, and documentation that leans heavily on Chinese, all worth weighing before committing.

## Strengths and weaknesses

- ✓ Combines multiple AI capabilities (search, TTS, speech recognition, document parsing, image generation, crawling) under a single bill rather than several separate tool subscriptions.
- ✓ Live, replayable agent activity gives visibility into what each agent did, which is useful for auditing automated work.
- ✓ Choice of underlying model (Claude, GPT, Gemini, Kimi, DeepSeek, or Vecbase's own model) with per-token billing avoids single-vendor lock-in.
- ✓ Reusable Skills and Schedules mean workflows built once can run repeatedly without rebuilding them per agent.
- ✗ No free tier or trial is mentioned, so prospective users have to commit to a paid plan ($20/mo minimum) before testing the platform.
- ✗ Both paid plans cap workspaces at 10 agents, which may not scale for larger teams running many concurrent workflows.
- ✗ Usage is metered against a monthly quota with overage billing, so costs on top of the base $20 or $50 plan can be harder to predict.
- ✗ Documentation and support are primarily in Chinese, which may limit accessibility for non-Chinese speaking users.
- ⚠ Documentation and support are primarily in Chinese, which may limit accessibility for non-Chinese speaking users.
- ⚠ Independent editorial coverage of Vecbase is limited; most details here come from the vendor's own site and a single third-party tool directory listing, not broad independent reviews.
- ⚠ Both Plus and Pro plans are capped at 10 agents per workspace, so very large agent fleets are not supported at these tiers.

## Key features

- **Multi-agent workspace with sandboxes** — Agents share memory and files but each runs in its own secure sandbox, so they can work in parallel without stepping on each other.
- **Pre-built agent roles** — Researcher, Coder, Writer, and Operator roles give teams a starting point instead of building agent behavior from scratch.
- **Live, replayable activity feed** — Every agent step, web browsing, document reading, or code writing, shows up in the chat in real time and can be replayed afterward.
- **Reusable Skills** — A workflow captured once as a Skill, such as a PDF Report Generator, Slack Bot, or Web Crawler, can be run by any agent in the workspace.
- **Scheduled runs** — Agents can be set to run automatically on a schedule, like a daily 9 AM report or a weekly Monday brief.
- **Bundled built-in capabilities** — Speech recognition, text to speech, document parsing, image generation, web search and deep research, and web crawling are included under one integration and one bill.
- **Shared team Drive** — Agents read and write files across shared Spaces like Reports, Codebase, Marketing, and Datasets.
- **Multi-model choice** — Agents can use Claude, Vecbase, GPT, Gemini, Kimi, or DeepSeek with transparent per-token billing and no lock-in to a single model.

## Use cases

- **Recurring status reports** — An Operator or Writer agent runs on a Schedule, such as a daily 9 AM report or weekly Monday brief, and drops the output into the shared Drive's Reports space.
- **Research and deep search** — A Researcher agent uses the built-in web search and deep research capability to gather sources, with every browsing step visible and replayable in the activity feed.
- **Code changes and pull requests** — A Coder agent writes code in its own sandbox and, after one-time GitHub authorization, opens a pull request directly from the workspace.
- **Repeatable automation as a Skill** — A team captures a workflow like a PDF Report Generator or Web Crawler once as a Skill so any agent, not just the one that built it, can reuse it later.

## Integrations

Gmail · Notion · GitHub · Slack

## Sources

- https://vecbase.com
- https://siteefy.com/tools/vecbase
- https://www.actian.com/blog/databases/the-hidden-cost-of-vector-database-pricing-models/