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GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

Embeddings + RRF hybrid recall + LLM rerank + query intent (Gemini + pgvector halfvec). Used by axios, jarvis, agent-memory.

Capa de memoria agnóstica (storage pgvector + cola de embeddings + recall híbrido). Sin acoplamiento a axon/roadmap; usable por cualquier agente.

Zero-trust frontend content protection. Encrypt, authenticate, and deliver proprietary code via WebAssembly.

The testing framework for AI agents — think pytest, but for agents.

The inter-agent communication protocol. Like HTTP for web services, but for AI agents.

Business-semantic driven AI agent configuration system. The missing layer between business users and AI agents.

AI orchestration shell for qteasy — natural language plans over qteasy APIs

Local-first layered memory and autonomous learning engine

A deterministic gate that checks AI-agent payment requests against a user-defined mandate.

Libra: Efficient Resource Management for Agentic RL Post-Training

Let your agent drive your Android phone — from Windows, over ADB, with nothing installed on the phone. Works with Claude Code, Codex and Hermes.

Route a CTRLRun APPROVE through the OpenAI Agents SDK's tool-approval interruption.

Vesk agentic plugin — zero-deps agent loop, provider abstraction, permissions, tools, checkpoints

Pre-execution LLM token budget and cost prediction client for AI agents

A deterministic context compiler for AI agents — evidence-driven context engineering beside your markdown knowledge base: agents propose, evidence gates, you decide.

Yuanshi — a skill for retrieving historical session / memory logs across AI agents: zero-dependency search and analysis of JSONL, JSON, SQLite and Markdown session & memory files (unified Record + field-alias normalization + config fallback), with full so

Kernel for harness — the framework multi-agent AI harnesses are built on

Circuit breaker middleware for LangGraph/LangChain agents — detect loops, inject Reflect & Pivot, prevent runaway costs

A provider-neutral agent loop with extension hooks and typed tools