TrueForge – The open-source agent harness
TrueForge is an open-source agent harness designed to simplify the deployment and management of LLM-based agents. It provides a runtime layer that handles essential infrastructure like session persistence, tool integration, and sandboxing for both local and hosted environments.
Why it matters
It lowers the barrier to entry for developers building production-grade AI agents by abstracting complex backend infrastructure requirements.
The open-source agent harness - the runtime layer that turns an LLM into a working agent
TrueForge runs the agent execution loop for you - model calls, MCP tools, skills, sandboxing, approvals, context management, and session state - and exposes it three ways: a chat UI , an HTTP API with a TypeScript SDK , and an embeddable UI SDK .
Building an agent is easy. Running one well is not - you need streaming, session persistence, tool servers, sandboxing, approvals, and a UI. TrueForge gives you that out of the box:
It scales down and up: local mode (one process, SQLite) or hosted mode (Postgres + Redis, Docker Compose or Helm).
Run TrueForge (local, Docker Compose, or Kubernetes), connect a model and tools, and build your first reusable agent in the Quickstart .
To work on TrueForge from this repository, see CONTRIBUTING.md .
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