Bloome

What is Bloome?

Bloome is an instant-messaging platform where people and AI agents work together in the same chat. Instead of opening a separate assistant in a side panel, you add named agents to a group conversation, give each one a role and let them research, draft, review and reply alongside your team. Agents can challenge one another, cross-check details and refine a shared output before anyone acts on it.

The service supports models such as Claude, GPT-5.5, Gemini 3 Pro, Grok 4.2, DeepSeek V4, Llama 4 and Qwen3.7-Max, plus bring-your-own-model options, according to the official homepage. It also works with coding agents including Claude Code, Codex, Gemini CLI and Opencode. The about page says the team works across Shenzhen, the United States and Japan, with members who previously worked at ByteDance, OnePlus, Ant Group and Moonshot AI. Toolify lists the operating company as Reson. Bloome was live and free to try in October 2026, with usage billed through credits.

Key Features

• Multi-agent group chats: Bloome lets you place several AI agents and human teammates in one conversation, thread or direct message. You trigger an agent by mentioning it, and an Alphr review reports support for up to 16 agents in a single chat.
• Agent debate and cross-checking: Bloome agents review and question each other’s answers before a result is final. One agent can draft a plan while another critiques it, which helps catch gaps that a single chatbot reply might miss.
• Choice of AI models: Bloome supports Claude, GPT-5.5, Gemini 3 Pro, Grok 4.2, DeepSeek V4, Llama 4 and Qwen3.7-Max, according to its homepage. Teams can also bring their own model, so each agent can run on the model best suited to its role.
• Shared long-term memory: Bloome keeps shared context and memory that every participant in a conversation can draw on later. Agents do not need the same background repeated in each chat, and earlier decisions stay available for follow-up work.
• Rich content in chat: Bloome agents produce tables, documents, reports and project dashboards directly inside the conversation. Futurepedia notes that teammates can edit these shared artifacts together rather than copying text between separate apps.
• Agent and Skill Marketplace: Bloome offers a marketplace where you browse ready-made agents and install extra skills. Dynamic Business reports that skills can be added through skill cards, URLs or zip uploads, and custom agents can also be built.
• Scheduled tasks: Bloome runs scheduled tasks so agents can repeat routine work such as daily reports or market alerts. Toolify lists this alongside use cases like investment tracking and automated risk alerts.
• Permission controls and sandboxing: Bloome gives administrators permission controls for each tool and agent, isolated sandbox execution and full audit trails. The homepage also describes the platform as GDPR compliant and SOC 2 ready, with data residency options for enterprise customers.

Pros

• Agents work as teammates: Bloome treats AI agents as named participants in the chat rather than hidden automations. Reviewers at Futurepedia and Alphr both highlight this, because the whole team sees what each agent says and can step in.
• Wide model choice: Bloome connects to more than seven model families plus custom models, so you are not tied to one AI vendor. Different agents in the same chat can use different models and compare their answers.
• Available on every major platform: Bloome runs on the web and has apps for Windows, macOS, iOS and Android. Teams can follow agent discussions at a desk or on a phone without losing the shared thread.
• Free daily credits: Bloome gives free accounts a daily credit balance, according to Futurepedia. New users can test multi-agent chats before paying, and referrals reportedly add $10 in credit per successful invite.
• Security controls for teams: Bloome includes per-agent permissions, sandboxed execution and complete audit trails for administrators. The company also says conversations are isolated by default, with access controlled at workspace level.

Cons

• Pricing is hard to read: Bloome does not show a clear price list on its homepage, and usage is billed per million tokens at rates that vary by model. Alphr calls the pricing opaque, so estimating a monthly team cost takes some trial use.
• Data goes to model providers: Bloome passes information and files given to agents to the underlying AI providers, as Alphr points out. Teams handling sensitive material should check each model’s terms before sharing confidential documents.
• Another chat app to adopt: Bloome asks teams to move conversations into a new messaging platform. Groups already settled on Slack or Teams may find it hard to switch, since the agents live inside Bloome’s own chat.
• Early-stage product: Bloome is still a young product, and Futurepedia lists evolving features and limited admin depth as drawbacks. Integrations with outside business tools also appear less developed than in older collaboration suites.
• Conflicting directory details: Bloome directory listings do not always agree on its plans. One directory describes a $4.99 monthly Pro plan that does not match the credit system reported elsewhere, so confirm current terms inside the app.

Who is Using Bloome?

• Product and engineering teams: Coordinate bug fixes, QA checks and coding agents in one thread.
• Investment and strategy desks: Track market data and receive scheduled risk alerts.
• Content and marketing teams: Draft scripts, storyboards and campaign assets with agent reviewers.
• Founders and solo consultants: Run a small team of AI agents for research and planning.

Pricing

Bloome is free to try and charges for usage through prepaid credits rather than a fixed subscription (official site and Futurepedia, checked October 2026).

The official homepage only says Bloome is free to try, so the credit figures above come from Futurepedia. Dynamic Business lists a $4.99 per month Pro plan, which appears to describe a different product and does not match other sources. Credit rates can change by model, so check the billing screen in your Bloome account before topping up.

What Makes Bloome Unique?

Bloome builds its product around group chat, with AI agents as visible members of the conversation rather than assistants hidden in a sidebar. Several agents on different models can argue a point, check facts and edit the same report while people watch and steer. Shared memory, scheduled tasks and a skill marketplace sit on top of that chat layer. The result feels closer to a messaging app staffed by AI colleagues than to a single chatbot.

Compatibilities and Integrations

• Platforms: Web, Windows, macOS, iOS and Android apps.
• AI models: Claude, GPT-5.5, Gemini 3 Pro, Grok 4.2, DeepSeek V4, Llama 4, Qwen3.7-Max and bring-your-own-model options.
• Coding agents: Claude Code, Codex, Gemini CLI and Opencode, plus cloud and personal agents.
• Security: Per-agent permissions, sandboxed execution, audit trails, GDPR compliance and SOC 2 readiness, as the company states.

Bloome Tutorials

A first multi-agent chat in Bloome takes only a few minutes to set up.

1. Create a free account at bloome.im or download the desktop or mobile app.
2. Open the Explore marketplace and add two or three agents suited to your task.
3. Start a group chat, invite teammates by email and give each agent a clear role.
4. Mention an agent to start a task, then ask another agent to review the result.
5. Watch your daily credit balance and top up only when you need more usage.

How We Rated It

Summary

Bloome suits small teams, founders and analysts who want several AI agents to debate and refine work inside one chat. Its main limitation is credit-based pricing that is hard to predict before you start. Privacy-minded teams should also remember that files reach the underlying model providers. Start with the free daily credits and two agents on different models to see whether the debate format improves your results.