Show HN: Wb-Flow – Agentic Coding with Planned, Parallel Waves
A developer released Vestige, a queryless memory layer for multi-agent coding fleets, on GitHub. The tool aims to improve context sharing among AI agents without explicit queries.
A developer released Vestige, a queryless memory layer for multi-agent coding fleets, on GitHub. The tool aims to improve context sharing among AI agents without explicit queries.
Aquifer is an admission control system for vLLM inference servers that manages bursty traffic to prevent overload. It uses LLMs to predict request sizes and dynamically adjust admission policies, ensuring stable performance for production LLM serving.
Aquifer is an admission control system for vLLM inference servers that manages bursty traffic to prevent overload. It uses LLMs to predict request sizes and dynamically adjust admission policies, ensuring stable performance for production LLM serving.
Singular is a local orchestration tool for autonomous coding agents, enabling them to work together on coding tasks. It uses LLMs to coordinate and execute coding workflows, solving the problem of managing multiple AI agents in a local development environment.
Singular is a local orchestration tool for autonomous coding agents, enabling them to work together on coding tasks. It uses LLMs to coordinate and execute coding workflows, solving the problem of managing multiple AI agents in a local development environment.
Show HN: Agentic Data Kernal
Show HN: Agentic Data Kernal
QuantmLayer is a kernel-level security tool that enforces containment policies on AI coding agents, preventing them from accessing unauthorized files, network resources, or executing dangerous commands. It uses Linux kernel features (e.g., seccomp, namespaces) to sandbox agent processes, solving the problem of AI agents accidentally or maliciously causing damage. Targeted at developers and teams deploying autonomous coding agents.
QuantmLayer is a kernel-level security tool that enforces containment policies on AI coding agents, preventing them from accessing unauthorized files, network resources, or executing dangerous commands. It uses Linux kernel features (e.g., seccomp, namespaces) to sandbox agent processes, solving the problem of AI agents accidentally or maliciously causing damage. Targeted at developers and teams deploying autonomous coding agents.