AgentHost is a control room for developers running multiple AI coding agents like Claude Code, Codex, Gemini CLI, Kimi K3, and Hermes. It provides persistent shared memory across sessions, coordinated handoffs between agents, and deployment into your own cloud account so nothing passes through AgentHost. Built-in safety rails include spend caps, human approval gates, and full audit logs. Ideal for developers who juggle multiple AI agents and need continuity, governance, and control across their workflows.

• Persistent Control Room: Shared memory, coordinated work, and governed handoffs across sessions so your agents don't lose context when you close the laptop.
• Multi-Engine Support: Works with Claude Code, Codex, Gemini CLI, Kimi K3, Hermes, and OpenClaw for Telegram and Discord out of the box.
• Bring-Your-Own-Cloud: Runs in your cloud account with your credentials, repos, model keys, and spend controls. Nothing passes through AgentHost servers.
• Persistent Memory: Keeps plans, task history, conversations, and decisions available across sessions so agents resume where they left off.
• CLI Deployment: Deploy and manage agents using the AgentHost CLI and local daemon for self-hosted execution.
• Governance Rails: Spend caps per work chain, human approval gates on deploy, delete, send, and credential actions.
• Cross-Engine Review: Work gets reviewed by a second agent before being marked done, catching errors between handoffs.
• Full Audit Trail: Every login, run, and job is logged so you can trace what each agent did and when.

• Session Persistence: Keeps work state, memory, and task history available across sessions so agents can resume work after interruptions instead of starting from scratch.
• Data Stays With You: Because runtime lives in your cloud, sensitive credentials and code never touch a vendor's servers.
• Multi-Agent Coordination: Solves the pain of agents forgetting each other's work by giving them shared memory and structured handoffs.
• Cost Control: Spend caps and approval gates prevent runaway agent bills, a real concern when running Claude Code or Codex on autopilot.
• Engine Flexibility: No lock-in to a single model provider. Mix Claude, Gemini, Codex, and others in the same workflow.

• Requires Cloud Setup: BYOC model means you need your own cloud account and API keys configured before you can start. Higher setup friction than fully managed tools.
• Developer-Focused: Built for people running coding agents via CLI. Not aimed at non-technical users or general chatbot use cases.

• Long-Running Coding Projects: Keep a Claude Code or Codex agent working on a large refactor across days without losing progress when you switch machines or take breaks.
• Multi-Agent Code Review: Have one agent write code and another review it before merge, with the handoff and decisions logged in shared memory.
• Governed Autonomous Deployments: Let agents ship code with human approval gates on deploy and credential access, avoiding accidental production incidents.
• Cross-Session Research Workflows: Store agent knowledge, task history, and project context so recurring workflows can continue over time instead of restarting from a blank session.
• Team Agent Operations: Give a small dev team a shared audit trail of what agents did on which repos, with spend caps per project.
• Chat-Based AI Agent Workflows: Connect persistent AI agents to communication channels and workflows where supported, allowing teams to interact with agents through tools such as Telegram or Discord when using compatible agent runtimes like OpenClaw.