AI Agents — A Security Nightmare? Understanding OpenClaw

AI Agents — A Security Nightmare? Understanding OpenClaw

From the .NET blog...
In case you missed it earlier...
Microsoft Agent Framework – Building Blocks for AI Part 3
https://devblogs.microsoft.com/dotnet/microsoft-agent-framework-building-blocks-for-ai-part-3/ #dotnet #AI #csharp #AIagents #MicrosoftAgentFramework #multiagent #ToolCalling #workflows
From the .NET blog...
Microsoft Agent Framework – Building Blocks for AI Part 3
https://devblogs.microsoft.com/dotnet/microsoft-agent-framework-building-blocks-for-ai-part-3/ #dotnet #AI #csharp #AIagents #MicrosoftAgentFramework #multiagent #ToolCalling #workflows
RT @DJLougen: Ornstein-Hermes-3.6-27B @NousResearch Hermes-Toolaufrufe verbessert! https://huggingface.co/GestaltLabs/Ornstein-Hermes-3.6-27b https://huggingface.co/GestaltLabs/Ornstein-Hermes-3.6-27b-GGUF
mehr auf Arint.info
#AI #HuggingFace #MachineLearning #NousResearch #OrnsteinHermes #ToolCalling #arint_info
The M×N problem of tool calling and open-source models
https://www.thetypicalset.com/blog/grammar-parser-maintenance-contract
#HackerNews #M×Nproblem #toolcalling #opensourcemodels #techblog
Tool calling quality is noisy in a way LLM text generation isn't. The difference between "works" and "explodes" is tiny, and traditional benchmarks miss it. We need tool-specific evaluation frameworks. It would almost immediately become one of the most sought-after metrics.
#AgenticAI #ToolCalling #LLM #MLevaluation #AIinfra #machineLearning #hermesAgent #openclaw #claudecode
Hermes seems to be more effective at tool calling with low-end models than OpenClaw. My setup is basic, but certainly more token efficient than it was with OpenClaw - compounded by the Hermes harness getting its own changes right first time more often.
#AgenticAI #OpenClaw #Hermes #LLM #AI #toolcalling #MachineLearning