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The Hook Layer Your AI Coding Agent Is Missing

Agent Amplifier v1.0 β€” a runtime amplification layer for AI coding agents. Drops into Claude Code, Cursor, GitHub Copilot, LangGraph, CrewAI, AgentScope, LangChain. pip install agent-amplifier and go. πŸ”— Install: pip install agent-amplifier πŸ”— Source: https://github.com/qualixar/agent-amplifier πŸ”— PyPI: https://pypi.org/project/agent-amplifier/ Hooks today block dangerous actions β€” that's necessary, but only half the job. Agent Amplifier fills the other half: dynamic effort routing, goal anchoring, convergence detection, persona escalation, token budgeting, MoE-inspired tool shortlisting. All in the hook layer. Deterministic Python. Zero extra LLM calls. Zero network. AGPL-3.0. This is the AI Reliability Engineering category β€” the trust-and-reliability layer for the AI agent economy. Built and dogfooded across 1.71 billion tokens of real Claude Code sessions before shipping. What you get: βœ“ Effort tier auto-routing (minimal β†’ max) based on prompt complexity βœ“ Goal anchor re-injection every 5 tool calls (anti-drift) βœ“ LTI-stability convergence detection (stop when actually done) βœ“ Escalating persona audit per iteration βœ“ Cost-bounded token budget controller βœ“ MoE-inspired tool shortlisting βœ“ Cross-host: 7 adapters at launch βœ“ Real telemetry dashboard (Streamlit + FastAPI) Verify: agent-amp doctor agent-amp demo "Refactor auth to use JWT" agent-amp report agent-amp dashboard Quality bar: βœ“ 1,741 tests βœ“ 100% branch coverage βœ“ mypy --strict βœ“ ruff βœ“ AGPL-3.0-or-later Chapters 0:00 Cold open β€” what is Agent Amplifier 0:08 Live dashboard tour β€” Tune, Telemetry, Adapters, Health 1:02 Dark mode + real numbers 1:10 Install Qualixar is building the AI Reliability Engineering stack: β€’ SuperLocalMemory (SLM) β€” local-first memory layer β€’ Agent Amplifier β€” runtime amplification (this one) β€’ AgentAssert β€” behavioral assertions β€’ AgentAssay β€” evaluation & scoring β€’ SkillFortify β€” security hardening for AI skills β€’ FidelityBench β€” spec-fidelity benchmarking β€’ AgentChaos β€” chaos engineering for agents β€’ Qualixar OS β€” agent operating system Follow: β€’ X / Twitter: https://x.com/varunPbhardwaj β€’ YouTube: @qualixar-ai β€’ Website: https://qualixar.com β€’ Author: https://varunpratap.com Built by Varun Pratap Bhardwaj. AGPL-3.0-or-later. Commercial license available β€” hi@qualixar.com. #AIReliabilityEngineering #ClaudeCode #AIAgents

Published
2026-05-13
Runtime
1:19

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