Forge is the TeamSpec open-source agent execution layer. FastBytes helps organizations implement, configure, and integrate Forge into their stack — with the runtime controls, observability, and governance their teams actually need.
AI Forge is the execution layer of your agent ecosystem. It reads configs from The Agent Hub and turns them into running agents — with the controls, visibility, and history your team actually needs.
Your team has agent configs scattered across repos, wikis, and local machines — but no reliable, governed way to actually run them. Every launch is a manual process. There's no unified view of what's running, what finished, or what failed. And when something goes wrong, there are no logs to debug against.
Forge is the open-source TeamSpec execution layer — it reads agent configs from AgentHub and turns them into running agents in seconds. FastBytes handles the implementation: setup, integration with your existing stack, team training, and ongoing support. Open source tooling with expert-backed deployment.
AI Forge gives your team a single, governed interface for spawning agents. Select a config from the Hub, set your runtime parameters, and fire — all with full traceability from first token to final output.
Spawn any agent from its Hub config in seconds. Select by name, tag, or version — no CLI setup, no manual environment wiring, no lost-in-translation errors.
Customize model, temperature, tool access, and context at launch time without modifying the base config. Experiment freely while keeping your Hub config clean and canonical.
Launch agents in sequence or parallel. Pass outputs from one agent as inputs to the next. Build complex workflows from simple, well-defined config blocks in the Hub.
Real-time view of every agent in your fleet — running, queued, paused, succeeded, or failed. Know exactly what's happening across all your active runs at a glance.
Full, structured logs for every agent run — inputs, outputs, tool calls, errors, latency, and token cost. Trace any run back to its Hub config version for reproducibility.
Run agents on a schedule, on-demand, or in response to upstream events via webhook. Build reliable recurring workflows without babysitting a cron job.
Running recurring agent workflows — daily reports, data sync, QA checks, inbox triage — who need scheduled, reliable, observable agent execution.
Testing and iterating on agent behavior across dev, staging, and production environments with full runtime control and execution history.
Launching agents as features within your product — with proper lifecycle management, cost visibility, and audit trails for every agent run.
AI Forge is the execution layer. The Agent Hub is the config layer. Together they give you a complete agent lifecycle — from definition to deployment to debrief. And with AI Guardrails sitting above both, your entire agent fleet stays governed, compliant, and under control.
Define and govern your agent configs. The single source of truth that AI Forge reads from at launch time.
Select a config and bring it to life. The execution layer that turns agent definitions into running, observable, governed agents.
Fractional Head of AI oversight across your entire agent ecosystem — policy, compliance, vendor evaluation, and strategic roadmap.
Stop manually wiring up agent runs. Get a governed launch console your whole team can use — with the observability you actually need.