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The Pareto Router is a way to have OpenRouter always pick a strong coding model for your needs without committing to a specific one. You express a single `min_coding_score` preference...

Production-ready evaluation framework for AI agents — 58 metrics (25 native + 33 Harness Config) across 7 evaluation gates: goal achievement, behavioral integrity, reliability, performance, security, multi-agent coordination, and observability

The tool-calling loop for LLM agents — iterator-first, protocol-hooked, one dependency.

LangChain toolkit for 2,400+ x402 pay-per-call APIs — discover, call, and manage with no wallet setup

HelloAGI: open AGI-agent framework with evolving character, governed autonomy, and low-latency runtime

I-driven general ledger with cryptographic audit trail. Conversational accounting via 50 MCP tools for Claude.

Six directives that fix the five worst AI assistant behaviors. Tested across Claude, Gemini, and ChatGPT with platform-specific deployment guides and documented findings. Includes testing scenarios and prompts to validate changed behavior.

Self-evolving web scraping toolkit for Hermes Agent: 6-expert CPA council + stealth browsing stack + autoresearch optimization loop with Pareto scoring

Self-Reinforced Testing Framework (SRTF) for AI Agents.

Agent Harness for Large Language Model Agents: A Survey. Survey on LLM agentharnessengineering with a taxonomy. 110+papers, 23 systems analyzed.

Empirical benchmark comparing agent architectures (single-agent, multi-agent, adaptive) on ProgramDev-v0 and CyberGym tasks. Key finding: adaptive architecture > single-agent > fixed-pipeline multi-agent.

Multi-agent orchestration runtime with task board, flow engine, budget control, MCP integration and real-time dashboard. Self-hosted on Linux/macOS.

A composite ai framework for agentic AI

Feed LLMs financial data and interactive charts in one call — an MCP server for A-share quotes, financials, and macro indicators, 42 tools with results-as-UI.

Drop in deal documents → get an onboarding plan, draft invoice, and stakeholder summary. Multi-agent LangGraph pipeline with RAG, human approval, and self-correcting retries.

Aglet tool technique that wraps another agent.yaml as a callable Tool — the multi-agent primitive.

Aglet safety technique: constrain agents with a declarative list of principles, enforced by an LLM judge.

LangChain integration for Chio protocol tools with conformance tests

CrewAI integration for the Chio protocol -- capability-scoped tools, per-role scoping, delegation attenuation

AutoGen integration for the Chio protocol -- capability-scoped function registration, GroupChat role scoping, nested chat attenuation