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trueforge

The open-source agent harness - the runtime layer that turns an LLM into a working agent.

Agent模型 / 推理agentagentic-aiagentsharnessharness-engineering
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The open-source agent harness - the runtime layer that turns an LLM into a working agent

License: MIT Node.js >= 22.13 Documentation Quickstart SDK

TrueForge

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.

TrueForge Chat UI

Why TrueForge?

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:

  • Initial setup from catalogs - configure models, MCP servers, skills, and a sandbox once; agents pick from what you connected. Presets come from shipped YAML catalogs you can customize.
  • Any model provider - OpenAI, Anthropic, Google Gemini, and other catalog providers, or any OpenAI-compatible endpoint.
  • MCP tools - remote MCP servers with header auth or OAuth, including in-chat authorization.
  • Skills - git-backed SKILL.md instruction packs, loaded on demand in the sandbox.
  • Sandbox as a tool - isolated code/file execution (Daytona today; more providers planned), provisioned only when needed. Secrets stay in the harness.
  • Human checkpoints - tool approval, ask-user-questions, and Generative UI in chat.
  • Context engineering - subagents, deferred tool loading, Code Mode, large-result offloading, and compaction.
  • Chat UI + SDK - use the bundled UI, automate with @truefoundry/trueforge-sdk, or embed @truefoundry/trueforge-ui.

It scales down and up: local mode (one process, SQLite) or hosted mode (Postgres + Redis, Docker Compose or Helm).

Getting started

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.

Architecture

TrueForge architecture: Chat UI and SDK connect to the TrueForge server HTTP API and agent loop, which talks to SQLite or Postgres and bring-your-own models, MCP servers, and sandbox

Mode Best for Storage Extra infra How to run
Local Personal use, trying it out SQLite None npx @truefoundry/trueforge
Hosted Teams, multi-replica Postgres Postgres + Redis Docker Compose or Helm

Documentation

Section What you'll find
Introduction What an agent harness is and how TrueForge fits together
Quickstart Run local or hosted, build your first agent
Initial Setup Models, MCP, skills, sandbox - catalogs and overrides
Create an Agent Select resources; tool approval, questions, Generative UI
Harness Capabilities Sandbox-as-tool, subagents, deferred tools, Code Mode, compaction
Setup Login Optional OIDC for shared deployments
Benchmarking Cost/accuracy vs Claude Managed Agents and deepagents
SDK TypeScript client: sessions, turns, events
Chat UI Bundled UI and embedding @truefoundry/trueforge-ui
API Reference OpenAPI paths and schemas

Benchmarks

We compare TrueForge against Claude Managed Agents and deepagents on the same tasks, tools, and model - same accuracy, lower cost. Reproduce it from benchmark/. Write-up: Benchmarking.

Contributing

We love contributions - bug reports, features, and docs fixes. See CONTRIBUTING.md and our Code of Conduct.

To report a security vulnerability, follow SECURITY.md instead of opening a public issue.

License

TrueForge is released under the MIT License.