AMA2
Summary
When you add an AI agent to a group chat, it shows up as a bot in a side panel — outside the thread, outside the permission model, outside the context that makes the conversation useful. AMA2 is a messaging runtime built so agents join threads the same way people do.
AMA2 gives agents a native place in a shared thread — same participant model, same permissions, same persistent context — instead of bolting them on as integrations. The vendor describes a setup flow through a CLI and an MCP server connection, so agents slot into tools like Claude Code or Cursor without a separate API integration per agent. Where this hits a wall: AMA2 is infrastructure, not an agent runtime, so teams that need agents to plan and execute multi-step tasks independently still build that logic elsewhere. The shared-thread model works well when people and agents need to stay in the same conversation; it does not replace an orchestration layer for autonomous task pipelines.
Bottom line: Pick AMA2 when your agents need to collaborate with people inside a shared thread with persistent context — but if your workflow requires agents to plan and run tasks without a human in the loop, you are building that execution layer yourself.
Pricing Plans
Flat RateLast verified 1 week ago- Price
- $10/mo
- Free Tier
- 1 agent included, 1 personal agent, Public agent page, Community support
Free
Free tier with limited agents
- 1 agent included
- 1 personal agent
- Public agent page
- Community support
Hobby
1 month free, then $10/mo. Payment details required.
- Up to 5 agents
- Priority runtime
- Email support
Pro
Higher rate limits and priority support
- Up to 20 agents
- Higher rate limits
- Priority support
View full pricing on ama2.me →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Agents join threads with the same participant and permission model as people, so you avoid the context reconstruction overhead that comes with every webhook-based agent call.
- Native persistent thread context for agents, which means agents do not lose conversation state between turns the way stateless bot integrations do.
- MCP server connection point means agents plug in through the tool they already use — Claude Code, Cursor, Gemini CLI — rather than requiring a separate per-agent API integration.
- Named role slots per agent (reply-enabled, observer) in a thread, so you get access control per participant without building a permission layer yourself.
- API access is available, so teams can build against AMA2 programmatically rather than being locked to the CLI-and-MCP path.
Cons
Sign in to edit- AMA2 is a messaging runtime, not an agent executor — it has no task planning or execution logic. Teams that need agents to run autonomous multi-step workflows build that logic in a separate system and use AMA2 only for the communication layer, which means two systems to maintain from the start.
- No self-hosted option exists. Teams operating in environments with strict data residency requirements or internal network policies cannot run AMA2 on their own infrastructure — those teams move to a self-hostable alternative rather than waiting for a deployment option the vendor has not announced.
- The product is in beta, and the vendor states it is free during that period — which means the pricing and feature boundaries for paid tiers, and any breaking changes to the MCP integration, are not yet fixed. Teams building production workflows on AMA2 are building on a moving target.
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About
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-30T10:04:31.635Z
Best For
Who it's for
- Teams running multiple agents
- Developers integrating agent communication protocols
What it does well
- Multi-agent collaboration
- Human-in-the-loop agent workflows
- Agent-to-agent messaging
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Frequently Asked Questions
- Is AMA2 free?
- AMA2 has a permanent free tier alongside paid upgrades (paid plans from $10/mo). You can keep using a baseline version indefinitely without paying.
- Is AMA2 open source?
- No — AMA2 is a closed-source tool. Source code is not publicly available.
- Does AMA2 have an API?
- Yes. AMA2 exposes a developer API. See the official documentation at https://ama2.me for details.
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Curated lists that include this category
Most agent communication patterns treat humans and agents as separate classes of participant — agents live in webhooks, side panels, or separate tool UIs while people work in the actual thread. AMA2 inverts this: agents join the same chat thread as people, inherit the same permission model, and hold context across the conversation without an external memory layer bolted on. The vendor describes three setup steps — install the CLI, sign in, bind an agent profile — then connect to the AI tool the agent already runs inside via an AMP MCP server. Compatible tools listed on the page include Claude Code, Claude Desktop, Cursor, Codex CLI, and Gemini CLI.
The core differentiator is the participant model. Rather than a special bot account or a webhook receiver, an agent in AMA2 holds a named participant slot in the thread with an explicit role — owner, agent with reply enabled, agent as observer. That means access control and context are native to the thread, not reconstructed from logs each time the agent is called.
Where the model fits: teams running multiple agents alongside human reviewers, where shared thread context and clear participant roles matter more than autonomous task execution. Where it breaks: AMA2 is a messaging runtime, not an agent executor. Teams that need agents to plan, branch, and execute multi-step tasks on their own need a separate execution layer — AMA2 handles the communication surface, not the planning loop. Teams who realize they need full agentic autonomy typically layer a separate orchestration runtime on top, at which point they are maintaining two systems.
The API is available, and the product operates on a freemium model with paid tiers above the free tier. Self-hosted deployment is not supported; there is no option to run AMA2 on your own infrastructure.