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What you can do with Trueforge

TrueForge is an open-source TypeScript agent harness that runs the agent loop for you, covering model calls, MCP tools, skills, sandboxing, approvals, context management, and session state.

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truefoundry/trueforge on GitHub

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What do you want to do?

4 use cases

  • Run a local agent chat with your own models and tools

    Start TrueForge on one machine and chat with an agent that uses MCP tools and skills.

    View prompt
    Using the truefoundry/trueforge repo, start TrueForge locally with `npx @truefoundry/trueforge@latest`, connect the model <model-provider>, and create an agent that uses one MCP server named <mcp-server>. Report the agent's name and the URL of the chat UI. Verify that the agent answers a test prompt and that the session appears in Sessions.

  • Script agent sessions with the TrueForge TypeScript SDK

    Drive agent sessions and turns from your own TypeScript code using the HTTP API and SDK.

    View prompt
    In the truefoundry/trueforge repo, use the TypeScript SDK @truefoundry/trueforge-sdk to create a session against a running local TrueForge instance and send one turn asking for <task>. Output the final answer and the session ID. Verify that the same session appears in the Sessions view with its turns and tool calls.

  • Run a saved agent on a schedule and review each session

    Save an agent once, run it on a recurring cadence without you present, and audit each run.

    View prompt
    Using the truefoundry/trueforge repo, take the saved agent named <agent-name> and set a schedule that runs it every <cadence>. After one scheduled run, report its session ID and tool call count from Sessions. Verify that the run completed without a pending approval.

  • Deploy a shared hosted harness for a team

    Run TrueForge in hosted mode with Postgres and Redis so a team shares one agent setup.

    View prompt
    In the truefoundry/trueforge repo, deploy hosted mode using <deployment-method> (Docker Compose, Helm, or Railway) following the Quickstart, then connect one model and one MCP server. Report the deployment URL and confirm that a login is required. Verify that a shared agent runs successfully for a second user.

How to use Trueforge

  1. Check you have what it needs: A machine where you can run npx, for the local quickstart; API access to at least one model provider you plan to connect (OpenAI, Anthropic, Google Gemini, or an OpenAI-compatible endpoint); Optional: credentials for any remote MCP server you plan to use (header auth or OAuth).
  2. Open truefoundry/trueforge on GitHub and read the README and license.
  3. Run npx @truefoundry/trueforge@latest in a terminal.
  4. Open the bundled chat UI and connect a model from the catalog or an OpenAI-compatible endpoint.
  5. Add MCP servers and skills from the Initial Setup catalogs.
  6. Create an agent that selects those resources and enable tool approval.

These steps come from our top use case, Run a local agent chat with your own models and tools, which also has a copy-paste agent prompt.

Trueforge alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forDevelopers and platform teams who want a ready-made runtime, chat UI, and API for running LLM agents instead of building that layer themselves.
  • Why it is hot
  • LanguageTypeScript
  • Sourcegithub.com/truefoundry/trueforge · Back to Hot repos

Requirements

  • A machine where you can run npx, for the local quickstart
  • API access to at least one model provider you plan to connect (OpenAI, Anthropic, Google Gemini, or an OpenAI-compatible endpoint)
  • Optional: credentials for any remote MCP server you plan to use (header auth or OAuth)
  • For hosted mode: Postgres and Redis, plus Docker Compose, Helm, or Railway
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Questions about Trueforge

What is Trueforge?

TrueForge is an open-source TypeScript agent harness that runs the agent loop for you, covering model calls, MCP tools, skills, sandboxing, approvals, context management, and session state. It is an open-source project on GitHub: https://github.com/truefoundry/trueforge.

Who is Trueforge for?

Developers and platform teams who want a ready-made runtime, chat UI, and API for running LLM agents instead of building that layer themselves.

What can I do with Trueforge?

4 use cases so far, for example: Run a local agent chat with your own models and tools; Script agent sessions with the TrueForge TypeScript SDK; Run a saved agent on a schedule and review each session. Each has steps and a copy-paste agent prompt.

What do I need to run Trueforge?

A machine where you can run npx, for the local quickstart; API access to at least one model provider you plan to connect (OpenAI, Anthropic, Google Gemini, or an OpenAI-compatible endpoint); Optional: credentials for any remote MCP server you plan to use (header auth or OAuth); For hosted mode: Postgres and Redis, plus Docker Compose, Helm, or Railway.

What are alternatives to Trueforge?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Trueforge safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.