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Trust-based agent selection for multi-agent systems

A quality-assurance engine for LLM-generated code

eBPF-based System Inspector and Forensic Tool (Multi-Agent/Web)

The AI-native file database. Built from the ground up for LLM agents to read and search any document format as plain text.

Static analysis linter for Claude Code plugins, skills, and agents

LangChain Document Loader for reasoning.json — the Agentic Reasoning Protocol

Framework de orquestração de agentes IA com tom e estilo customizáveis. Integra documentos (RAG), APIs e bancos de dados em uma plataforma inteligente multi-agente.

Offline local-LLM terminal app for Jetson and edge Linux: chat with on-device models, run agent tools, and manage context safely.

Async-first orchestration library for multi-agent and data pipelines

Claude-agent-sdk omnicomp provider

Development toolkit — bootstraps structured Claude Code workflow (commands, agents, plans, CI) into any project

AI model: ayushnangia-sdft/qwen2.5-7b-instruct-sft-tooluse-lr5e-6-bs32-ep1

AI model: ayushnangia-sdft/qwen2.5-7b-instruct-sft-tooluse-lr1e-5-bs32-ep1

AI model: ayushnangia-sdft/qwen2.5-7b-instruct-sft-tooluse-lr5e-5-bs32-ep1

AI model: ayushnangia-sdft/qwen2.5-7b-instruct-sft-tooluse-lr5e-6-bs32-ep2-step250

AI model: ayushnangia-sdft/qwen2.5-7b-instruct-sft-tooluse-lr1e-5-bs32-ep2-step250

AI model: ayushnangia-sdft/qwen2.5-7b-instruct-sft-tooluse-lr5e-5-bs32-ep2-step200

AI model: RyanYr/slf-dstl_regular_Q2.5-1.5B-It_tooluse_OPD

We gave AI agents a brain. Memory, planning, continuity, and self-repair — the missing cognitive architecture layer. Runs on your Mac.

Multi-model AI agent runtime. Define agents in YAML, connect 6 LLM providers, orchestrate with ReAct/Plan&Execute/Fan-Out/Pipeline/Supervisor/Swarm patterns, and deploy as REST/WebSocket API with RAG, memory, MCP tools, guardrails, and OpenTelemetry observability.