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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Terse
Terse

Terse

Founded by Thomas Karatzas

Build and coordinate multiplayer AI agents using open-source durable serverless actors

Pricing model

Free

Rating

★ People love it

Time to value

Requires Expertise

You can use Terse to build and run multiplayer AI agents using durable serverless actors. Each actor acts as an isolated micro-server equipped with its own dedicated SQLite database and handles requests sequentially to prevent data races. Clients connect straight to specific actors using WebSockets, removing load from centralized databases and servers. The infrastructure runs on a fast Rust runtime with typed TypeScript APIs. Because it is completely open source, you can self-host the system on your own Kubernetes cluster using the provided Helm chart.

What Terse does

Deploy self-hosted actor infrastructure using Helm chartsRoute client WebSocket connections directly to specific actor instancesExecute isolated stateful reads and writes to embedded SQLite databasesPrevent concurrent database race conditions across AI agent runsDefine typed workflows and agent interfaces in TypeScriptScale agent state horizontally across multiple servers without central databasesDedicated SQLite database for each individual actor instanceSingle-request concurrency model to eliminate database race conditionsDirect client WebSocket connections for real-time multiplayer coordinationFully open source under the permissive MIT licenseOfficial Helm chart to deploy and self-host on KubernetesHigh-performance runtime built with RustStrongly typed APIs written for TypeScript environments

Pricing breakdown

Pricing model: Free

Tutorials & Demos

Frequently asked

KubernetesKubernetes

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Terse, Durable Actors, Cloudflare Durable Objects, SQLite, multiplayer agents, serverless actors, workflows, TypeScript, Rust, stateful computing, agent coordination, WebSockets, open source, agent infrastructure, Helm charts