//001
Connect
Plug in the systems you already run. No rip-and-replace.
Keep the stack
FIM One
1.6k GitHub Stars178 ForksEarly stage
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Connect your systems.[Orchestrate ]Review, then run.
Plug in what you already run. Sequence the work. Pause for a person on writes.
> what it does
/ Connect. Orchestrate. Review. /
Try on Cloud
//002
Orchestrate
Work crosses systems as a tracked sequence.
Tracked sequence
//003
Review
Writes pause until a person confirms.
Human in the loop
> self-hosting
fim-one
git clone https://github.com/fim-ai/fim-one.git
cd fim-one && cp example.env .env && ./start.sh
# → http://localhost:3000/ Clone it and run. /
The community edition is the full feature set. Docker Compose brings it up on your own box in under five minutes, and the data stays on your network.
> what they say
/ Trusted in regulated, mission-critical work /
Source-available · Self-hosted · Data never leaves your network
> faqs
/ Questions? Start here. /
See all answersYes. It is the complete FIM One codebase, self-hosted. No usage limits, no feature gates, no expiry.
Enterprise adds: compliance tooling, dedicated support, SLA guarantees, and architecture review sessions. The core feature set is identical.
No. FIM One is source available: its license is not an OSI-approved open source license. The full codebase is on GitHub. You can read, fork, and self-host it. License terms are in the repository.
Yes. The license restricts deployment shape, not whether you charge money. You can deliver a FIM One-based solution to a single client as a dedicated, single-tenant deployment for their internal use, with FIM One branding kept intact. A separate commercial license is needed for white-labeling (shipping under the client's brand), serving multiple clients from one shared/multi-tenant deployment, or building a competing agent platform.
FIM One is provider-agnostic. It supports any OpenAI-compatible endpoint: GPT-4, Claude, Gemini, Mistral, Llama.
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Two ways to run