Qualixar film / 1:19
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. π Install: pip install agent-amplifier π Source: https://github.com/qualixar/agent-amplifier π 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: β Effort tier auto-routing (minimal β max) based on prompt complexity β Goal anchor re-injection every 5 tool calls (anti-drift) β LTI-stability convergence detection (stop when actually done) β Escalating persona audit per iteration β Cost-bounded token budget controller β MoE-inspired tool shortlisting β Cross-host: 7 adapters at launch β 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: β 1,741 tests β 100% branch coverage β mypy --strict β ruff β 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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