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8 matching repositories for “evaluation”.
5,477 indexed in total. Latest successful discovery check: 2026-11-08 09:40:22 UTC.
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
agent-evaluation-toolsagent-frameworkagent-swarmsagentic-aiagentsaiai-agentsautonomous-agents
Source: GitHub repository metadata.
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
agent-frameworkagent-securityai-red-teamllm-evaluationllm-evaluation-frameworkllm-fuzzerllm-fuzzer-aggregatorllm-fuzzing
Source: GitHub repository metadata.
A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
agentagent-securityagentic-aiai-infraai-red-teamingai-safetyai-securityllm
Source: GitHub repository metadata.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
a2aa2a-protocolag-uiagentagent-frameworkaiai-agentsevaluation
Source: GitHub repository metadata.
Harness-oriented agent system framework for production-grade LLM agent applications
agent-frameworkagent-harnessagent-memoryagent-runtimeai-agentscacheevaluationevent-sourcing
Source: GitHub repository metadata.
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
agentic-aiai-agentsai-engineeringai-projectsai-resourcesai-toolsartificial-intelligenceawesome-lists
Source: GitHub repository metadata.
The first survey dedicated to LLM agent harnesses — 168 references, 34 evidence-coded systems, and 30 evaluation entries.
agentagent-frameworkagent-harnessawesome-listharnessharness-engineeringllm
Source: GitHub repository metadata.
Agent Systems Handbook by Prompthon — A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.
a2aagent-frameworkagent-memoryagentic-aiagentic-workflowai-agentai-agentsautonomous-agents
Source: GitHub repository metadata.
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