Search results for "rerun"
pytest plugin to re-run tests to eliminate flaky failures
The Context Optimization Layer for LLM Applications
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool call
The implementation for SIGIR 2026: Learning to Retrieve from Agent Trajectories.
MCP Server for Computer Use in Windows
Your second brain, starting today. CLI + MCP server that helps you build, maintain, and search a knowledge vault that gets better every day. Works with any AI provider. Local-first, zero-prereq instal
Structured, auditable AI-assisted development for teams. Zero-dependency MCP server, web dashboard, and multi-provider AI CLI support.
All-in-one agent harness for OpenAI Codex CLI β Boss meta-orchestrator, 400+ agents, 200+ skills, 3 MCP servers. Install once, get every specialist ready.
π₯ An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
The Next-Gen Agent-Native Skill Recommendation Engine
METAβAGENTIC Ξ±βAGI ποΈβ¨ β Mission π― Endβtoβend: Identify π β OutβLearn π β OutβThink π§ β OutβDesign π¨ β OutβStrategise βοΈ β OutβExecute β‘
OpenClawProBench is a live-first benchmark harness for evaluating LLM agents in the OpenClaw runtime with deterministic grading and repeated-trial reliability.
A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleCI's infrastructure a
Solana meme-coin auto-trading bot with MiniMax M2.7 LLM exit advisor, Jupiter Ultra swaps, Telegram control, and a Pepe-on-Moon dashboard
MCP server for Elgato Stream Deck control β set buttons, manage pages, wire actions
Local-first AI agent bootstrap: Playwright Browser MCP + ContextDB for Codex CLI, Claude Code, Gemini CLI, and OpenCode.
AI-powered multi-agent system that transforms Telegram into an intelligent automation hub β routing user intent across vision, browser, desktop, and code agents using dynamic model orchestration.
Enable AI-driven automated Android dynamic analysis by controlling Frida through the Model Context Protocol for streamlined reverse engineering.
Automate shell tasks using a local Ollama model that plans, executes, and fixes commands without cloud or API dependencies.
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table 1862-Add-Travis-CI-migration
