TrueForge
TrueFoundry · Open-Source Runtime for Production AI Agents
TrueForge is an open-source agent harness for developers who need persistent sessions, MCP tools, sandboxed execution, approvals, and deployable APIs without committing to one model provider.
Best for
Platform and application teams that want a model-neutral, self-hosted runtime for reusable production agents
Not ideal for
Nontechnical users seeking a ready-made assistant or teams unwilling to operate infrastructure and external model credentials
Who it's for
Developers and platform engineers building governed agents that must persist sessions, call tools, execute code, and deploy behind an API
Capabilities
- Runs model calls, MCP tools, skills, approvals, context management, and session state in one agent loop
- Supports OpenAI, Anthropic, Gemini, and OpenAI-compatible model endpoints
- Provides a bundled chat UI, HTTP API, TypeScript SDK, and embeddable UI SDK
- Uses persistent sessions and streamed events so applications can resume work and approval flows
- Runs code and file operations in isolated Daytona sandboxes with credentials held by the harness
- Deploys locally with SQLite or as a shared service with Postgres and Redis
Limitations
- Local mode has no login by default and is explicitly not intended for production or internet-facing use
- Requires Node.js 22.14 or newer for the local npx setup
- Daytona is the only documented sandbox provider currently supported
- The free harness does not include model, sandbox, or infrastructure usage costs
Use cases
- Building a support agent that pauses before issuing refunds
- Deploying a research agent that delegates topics to parallel subagents
- Embedding a persistent agent session into an internal application
- Running the same agent across commercial, open, or OpenAI-compatible models
- Self-hosting a shared agent runtime with team authentication and durable storage
TrueForge pricing
Open Source
Free
- MIT-licensed harness
- Local and self-hosted deployment
- Bring your own model and infrastructure credentials
Hosted
Usage-based
- Managed deployment
- Public unit pricing not documented on the fetched official pages
Note: The harness is free; model, sandbox, and infrastructure charges are separate. TrueFoundry also offers a hosted usage-based service.
Technical specs
Available models
TrueForge vs. competitors
TrueForge vs. langgraph
LangGraph is a graph-oriented orchestration framework; TrueForge packages a broader runtime with sessions, UI, APIs, sandbox execution, and deployment modes.
TrueForge vs. crewai
CrewAI centers on role-based multi-agent workflows, while TrueForge centers on the production harness and infrastructure around reusable agents.
TrueForge vs. dify
Dify emphasizes visual application building; TrueForge is a code-oriented runtime for teams that want to control models, tools, sandboxes, and hosting.
Frequently asked questions
What is TrueForge?
TrueForge is an open-source runtime that turns an LLM into a working agent by managing model calls, MCP tools, skills, sandboxing, approvals, context, and persistent session state.
Is TrueForge open source?
Yes. The TrueForge repository is released under the MIT License, so teams can inspect, modify, and self-host the harness.
Can TrueForge be self-hosted?
Yes. Local mode runs with SQLite for personal evaluation, while shared deployments use Postgres and Redis through Docker Compose, Kubernetes, or Railway.
How much does TrueForge cost?
The open-source harness is free. You still pay for the models, sandbox provider, and infrastructure you connect; hosted TrueForge uses usage-based pricing without public unit prices on the fetched pages.
Integrations & fit
Alternatives to consider
LangChain
Developers building production multi-agent systems that need fine-grained control over state, execution flow, and human-in-the-loop checkpoints — and who are willing to trade setup time for that control
FreeCrewAI
Orchestrating autonomous agent teams for enterprise tasks
FreemiumLangGenius
No-code agentic workflows and RAG pipelines
FreemiumMastra
TypeScript-first AI agents and workflows for Node.js teams
FreeAbout TrueForge
TrueForge provides the runtime layer between a model and a production agent. Teams configure models, MCP servers, git-backed skills, and a sandbox, then expose reusable agents through the bundled chat UI, HTTP API, TypeScript SDK, or embeddable UI. Its context controls include subagents, deferred tool loading, large-result offloading, and compaction, while approval gates pause sensitive tool calls for human review. Local mode runs as one Node.js process with SQLite for personal evaluation; shared deployments use Postgres and Redis through Docker Compose, Kubernetes, or Railway. The harness is MIT-licensed and model-neutral, but teams still supply model credentials and currently need Daytona for sandbox execution.
Updates from TrueForge
TrueFoundry released TrueForge publicly with self-hosted and hosted deployment options, model portability, MCP tools, sandboxes, and approval workflows.
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