
Bloome
Bloome is an instant messaging platform that places humans and AI agents in the same chat. The official statement says that the agents will review each other and share memories, and can be connected to models such as Claude, ChatGPT, and DeepSeek to deliver research outputs.
Updated: 2026-10-26
What is Bloome?
Bloome is an instant-messaging platform that enables humans and AI agents to collaborate within a single chat. Its official website describes it as "instant-messaging platform where people and AI agents work in one chat". It aims to solve the problem of fragmented context in multi-agent collaboration: allowing Claude, ChatGPT, DeepSeek and custom AI agents to review each other and share memories in the same session, ultimately delivering project dashboards, event materials and operation reports.
Who is it for?
- Teams that cross-validate with multiple large models: Consolidate the outputs of Claude, GPT, and DeepSeek into a single session.
- R&D teams: Integrate coding agents such as Claude Code and Codex into group chats for code reviews.
- Content and marketing teams: Create landing pages, visuals and copy in the same workspace and complete reviews.
- Organizations requiring traceability: Enterprises that demand auditability of AI agent actions.
Key features
6Cross-role collaboration
The official statement says that AI agents will debate, review, and improve each other's outputs until only the strongest version remains. In the official examples, a research AI agent drafts content, a review AI agent checks it and requests additional sources, and then the content is revised.
One shared conversation (Unified Conversation)
Claude, ChatGPT, DeepSeek and any custom AI agents can work in the same conversation, with inputs across roles and models kept in one place.
Shared memory (Shared Memory)
Every discussion, modification and decision is stored in a shared workspace, which can be reviewed at any time by those with access permissions.
One platform, every model
The official lists accessible coding agents (Claude Code, Codex, Gemini CLI, OpenCode) and models such as Claude, GPT, Gemini, Grok, DeepSeek, Qwen, and supports self-contained models.
Deliverables
The official lists deliverables as project dashboards, campaign materials, operation reports (daily reports, KPI summaries and periodic reports) and research outputs.
Permissions and Compliance
The official statement says that read-write permissions can be set by tool or by agent, and each agent can only access the parts explicitly allowed; tasks run in an independent sandbox, credentials do not leave the environment, all actions have audit logs, and it is marked as SOC 2 ready, GDPR compliant, and offers data residency options.
How to use Bloome
- First define a real small task before introducing agents.
- In the official example, the research agent drafts content, and the review agent cross-checks the sources.
- this write-then-review combination makes it easiest to see the collaborative value.
- Calculate the costs of multi-agent parallelism in advance.
- Having multiple models execute the same task repeatedly will increase the number of calls.
- It is recommended to enable the review role only for key conclusions.
- Shared memory also means that context is retained long-term.
- Before adding sensitive materials, confirm the members and permission settings of the workspace.
- Configure third-party services and credentials following the principle of least privilege and regularly check audit logs.
- The official website marks SOC 2 ready, GDPR compliant and provides data residency options, but the specific certification scope needs to have the certificate requested from the official.
- for domestic team use, it is also necessary to independently evaluate the compliance of data outbound.
- The model support list is updated quickly, and the official website instructions shall prevail before selection.
Traffic & popularity
Data month Sep 2026
Bloome receives about 21.1K visits per month and ranks #1,583,000 worldwide.
Monthly visits
9 monthsTraffic sources
- Referrals47.0%
- Direct25.9%
- Search18.9%
- Display ads3.2%
- Social2.8%
- Other2.1%
Top countries
- United States34.9%
- Mexico23.8%
- India3.6%
- Spain2.8%
- Guatemala2.0%
Estimated from third-party traffic data.
Similar tools
StreamientStreamient is an open-source team-shared AI memory layer that organizes notes, URLs, email archives, and Git decisions into self-hostable memory, accessible for reading and writing by mainstream AI clients via MCP and API.
aiXcoderThe enterprise-level AI R&D platform launched by Silicon Core Technology builds a product matrix with code agents, testing agents, code documentation and demand agents, supports private deployment and collaboration between large and small models, and is oriented to enterprise R&D scenarios such as finance and aerospace.
AgentMoreZhipu Qingyan has launched a multi-Agent cloud collaboration platform. The official states that it allows users to build a dedicated AI Agent team like assembling Lego bricks. It is on standby 24/7 in the cloud and processes tasks in parallel across multiple lines. It supports scheduled tasks, group chat collaboration, and a points-based usage system.
JuzibotEnterprise-level AI employee platform, officially integrating IM channels such as WeChat Customer Service, Official Account, Douyin, Feishu, and WhatsApp into a single workbench, where Agents respond by grading based on confidence, and it also provides question counting and multi-agent orchestration capabilities.
Nami AINami AI, a subsidiary of 360, focuses on multi-agent swarms. It integrates more than a dozen large models such as DeepSeek, Zhibrain, and Tongyi Qianwen, as well as MCP toolkits, and supports tasks including intelligent agents, deep thinking, AI writing, research report generation, and PPT generation.
Assista AIAssista lets you set just one goal. The CEO agent selects specialists, connects your apps, and sends drafts to your email for approval. The company says it runs on your own Claude, with no metering or price increases.