RLForge
RLForge takes any arbitrary academic paper or spec from a verifiable field - and automatically creates an RL environment.
Everything in the community tagged AI Agent Infrastructure: discussions, projects, challenges and events in one place.
RLForge takes any arbitrary academic paper or spec from a verifiable field - and automatically creates an RL environment.
We made the world's fastest, cheapest, and most accurate browser use on Vultr and it doesn't even use vision.
# TASKLEXA AGENTICOS One Goal. The Right Agents. Governed Execution. Tasklexa Agenticos is planned as a sector-agnostic AI agent orchestration platform. The platform owns mission planning, agent selection, approvals, verification, and state transitions. External systems provide capabilities through adapters and must be clearly marked as `LIVE`, `MOCK`, `NOT_CONFIGURED`, or `FAILED`. ## Current Phase Phase 1 local infrastructure scaffold is in progress. Docker is required before `docker compose…
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# TASKLEXA AGENTICOS One Goal. The Right Agents. Governed Execution. Tasklexa Agenticos is planned as a sector-agnostic AI agent orchestration platform. The platform owns mission planning, agent selection, approvals, verification, and state transitions. External systems provide capabilities through adapters and must be clearly marked as `LIVE`, `MOCK`, `NOT_CONFIGURED`, or `FAILED`. ## Current Phase Phase 1 local infrastructure scaffold is in progress. Docker is required before `docker compose…
Agent Foundry — Debug your AI agents like software. Agent Foundry is a local-first reliability and provenance debugger for AI agents. It shows why an agent behaved differently, where a run first diverged, what evidence and tools influenced its decision, and whether the behavior can be replayed. Our Hack Day demo uses a simulated autonomous biology workflow based on the Moddik plate architecture. Deterministic sensor events become independently addressable evidence, are committed into verified…
Crucible: Self evolving multi-layer harness for secure and productive agentic AI execution
What are people doing with our AI, and what isn't working for them? logless tells you without anyone reading your private chats.
RLForge takes any arbitrary academic paper or spec from a verifiable field - and automatically creates an RL environment.
Glasshand lets AI agents running on Vultr operate real iPhones through screen vision and human-like taps.
Ontofill turns an open question into a dataset where every value has a receipt (onthology), planning on Vultr Serverless Inference and running every browser and code action in zero-secret gVisor sandboxes on Vultr.
Problem statement one - Safe agent execution on Vultr. A web-based agent that does real work (writes and runs code) where every action happens inside a throwaway, hardened sandbox on a Vultr VM. The control plane plans the task with Vultr Serverless Inference, dispatches each action to an isolated container, streams the evidence live to the browser, has an independent verifier judge the result from that evidence only, and then destroys the sandbox.
We made the world's fastest, cheapest, and most accurate browser use on Vultr and it doesn't even use vision.
GhostRange lets AI agents investigate security incidents inside disposable Vultr cyber twins, run controlled experiments, verify fixes, and produce evidence without giving the model direct control of production infrastructure.
Sentinel intercepts phantom tool calls – LLMs invoking functions that don't exist – before execution. A 3-layer cascade (registry match + embedding similarity + Gemin Flash verifier) corrects or blocks hallucinated tool names in under 1ms.
Vantage Point is the observability layer for the ActionPilot ecosystem, providing real-time telemetry and analytical oversight for high-throughput enterprises and asynchronous multi-agent workflows in the cloud.