Run autonomous agents on your own Codebolt server or in the cloud portal. Connect Telegram, Linear, webhooks, custom chat channels, native apps, schedules, hooks, memory, and multi-agent scaling through the same engine runtime.
An autonomous agent is not just a hosted chat bot. In Codebolt it is a server-backed agent system: external platforms send messages or events into the gateway, the gateway maps them to the right thread strategy, agents use persistent memory and plans, plugins can modify applications in real time, and the runtime can scale across agents and environments as the workload grows.
Codebolt plugins let the autonomous agent meet users and systems where they already work. Chat channels, issue trackers, internal tools, webhooks, and Codebolt-native apps can all become front doors to the same server runtime.
Build chat plugins like Telegram channel integrations so users can talk to a Codebolt server instance from external messaging platforms.
Plugins like Linear agent integrations can convert platform events, issues, comments, and workflow changes into agent sessions.
Write custom plugins for internal tools, customer portals, monitoring systems, or any platform with an API.
Use plugins and custom Codebolt-native applications to let agents modify product state, dashboards, panels, and workflows in real time.
Expose remote webhook entry points so third-party systems can trigger agent work without a human opening a prompt.
The server gateway decides how incoming platform messages become agent work. That lets one integration behave like a shared chat, a per-user assistant, a per-conversation support agent, or a multi-thread workflow.
Run Codebolt server wherever you need control: a local machine, private VM, internal network, or your own deployment. The same plugin and gateway model works without forcing you into hosted infrastructure.
Use Codebolt Cloud as the managed control plane for teams that want always-on agents without maintaining the runtime themselves.
Gateway routing supports different thread strategies: shared chats, one thread per user, one thread per conversation, one thread per message, or multiple coordinated threads.
Different clients need different routing. A support inbox, Telegram bot, Linear issue worker, webhook monitor, and Codebolt-native app do not have to use the same conversation model.
Long-term monitoring and background work becomes practical when schedules, calendar plans, hooks, platform events, and custom plugins all feed the same agent runtime.
Use calendar and plan structures to schedule recurring or future agent work, then route triggered tasks through the gateway.
Autonomous work only matters if the agent can retain context across runs. Codebolt's memory structure lets agents keep durable knowledge across sessions, tasks, users, and time. That memory can be retrieved into future conversations, scheduled jobs, webhook-triggered work, and long-term monitoring loops.
A Codebolt autonomous agent can start as one worker and grow into multi-agent, multi-environment execution. The same engine supports custom agents, custom plugins, shared memory, multi-thread routing, and multi-environment scaling when the task needs more capacity or coordination.