Developer Tool / AI Agent Runtime / Orchestration
Open-source runtime for multi-agent AI systems with job scheduling, DAG orchestration, shared memory, tool execution, and real-time observability.
The page clearly describes a real AI developer tool: an open-source multi-agent runtime for Python developers. It shows concrete capabilities, including agent tools, task spawning, memory sharing, dashboard observability, and support for multiple LLM providers and frameworks. The README includes usage commands, architecture details, supported stack, and repository activity, which is enough evidence for a useful public listing.
The snapshot does not show API reference, tests, deployment docs beyond the quickstart, or enough detail to judge stability and production maturity.
Last evaluated just now. Current rank #61. Down 3 spots in the rankings.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
Self-hosted observability and control plane for production and coding AI agents, with live timelines, fleet-wide feeds, token budgets, MCP allow/block rules, and support for Claude Code plus a Python sensor.
Browser extension that scans pastes for credentials and PII before they reach LLM chat sites, with local on-device inference and no network calls.
