#llm-agents

A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。

Inspect Codex / Claude logs, verify metering samples and re-count supported billing exports. Free local tools; bounded $10 diagnosis and $20 QA.

🔁 Build reliable recurring AI-agent systems: 1025 resources, 22 operational patterns, 22 loop contracts, 8 runtime starters, an interactive atlas, and a structured dataset.

Agentic Runtime

Fast-ASDLC: 5x TTM with AI-native Agentic SDLC. Local-LLM first, Human-in-the-loop, Spec-driven. Built on DDD, Hexagonal Architecture, C4 Model & MCP. Features Meta-agents for self-improvement, Memory Bank for context persistence, and automated 100% test coverage. Everything-as-Code & Mermaid.js centric to save context window and slash token costs.

The control plane for your coding agents, however you run them. One checkout of rules, skills, subagents, hooks and stances, projected into Claude Code and Codex with your own primitives: hook-enforced guardrails, usage telemetry, cost postures and model tiering, under any rules library or orchestration layer.

Each node of a graph you write runs as a real subprocess of your own logged-in claude or codex CLI — your settings, your skills, running in parallel.

Attack taxonomy, toolkit & defenses for persistent-memory poisoning of LLM agents. Author: Krishita Sanjay Choksi.

Self-hosted AI resume (CV) & cover letter builder. Multi-agent LLM pipeline, tool-calling agents, visual PDF review, pluggable OpenAI/Ollama providers.

Compose agent skills (SKILL.md / commands) from reusable bricks, with a drift-gate.

Real-time detection and repair of LLM agent failures — a one-class behavioural monitor at ~200 µs/step, with 2,823 committed traces.

An interactive roadmap for harness engineering — building the agent loop, tool layers, context engineering, memory, retrieval, eval harnesses, and the rest of the scaffolding around modern LLMs.

Turn a book or document into a modular Agent Skill pack: atomic skills, combo workflows, a router, references, and validation.

A shared knowledge vault + full software-engineering workflow for AI coding agents — run Claude Code and Codex in parallel with one memory, one plan.

Household decision simulation through persona-enriched multi-agent negotiation. The HDSim method core.

A 4-stage adversarial research auditor that fetches papers from arXiv & HuggingFace, extracts claims, and uses DeepSeek-R1 to verify them against raw abstracts.A self-correcting research & paper digest pipeline powered by local LLMs & reasoning agents

Fable 5 workflow Loop; A Claude Code skill: autonomous build / audit / verify loop that runs until a machine-checkable contract passes, with ▎ deterministic anti-spin stop conditions (no-progress, retry, oscillation, budget) and on-disk human escalation.

Local AI router. One OpenAI-compatible endpoint for every provider you already have, and one key for opencode, claude code, Cursor and any coding agent. Keys stay on your machine.

Proof Gradient is the agent evolution protocol where every run leaves proof, every proof selects intelligence, and every selected artifact evolves the network.

AI 코딩 비서(Claude·Codex·Gemini)가 확인도 안 하고 '다 됐어요' 하는 걸 자동으로 막아주는 품질 안전장치 — 비개발자·바이브코더를 위한 한국어 우선 하네스.

Residential mobility and relocation decision simulation via persona-enriched multi-agent negotiation (PEMAND)

Household travel decision simulation via persona-enriched multi-agent negotiation (PEMAND)

Bounded Agents: Delegation Security for Multi-Agent AI Systems - Reference Implementation and Evaluation Artifact

Shared AI agents for teams: one agent per channel, with memory, connected apps and approvals. Open source and self-hostable. Hosted at teamski.in

AI-powered video generation with Claude Code. Describe a topic and get a fully animated MP4 with voice-synced visuals, persistent diagrams, and TTS narration. No video editing or design skills needed. Explainer videos, presentations, tutorials, product demos, onboarding, courses. Open-source multi-agent fully autonomous pipeline.

Behaviour trees for AI agents. Define agentic workflows in YAML, drive deterministic agent runs from a CLI works with any agent, Claude, Codex, Copilot, Gemini etc.

A curated, credited library of loops — repeatable AI-agent workflows for Claude Code, Cursor & Codex. Refactor until clean, test until 100%, hunt bugs until none remain.

Pattern recognition ability for AI agents — local structural lattice that matches, links, distills, and learns from experience. Companion for Hermes Agent.

Charterion: Multi-Agent Engineering Control Plane for ChatGPT Web Agents - orchestration, task dispatch, browser control, durable state, worktrees, evidence, review, recovery, and self-hosting.

Relation-aware, calibrated and provenance-preserving context routing for interleaved agent conversations

Claude Code Skill that audits AI agents using systems thinking — leverage points, feedback loops, emergent behavior, and paradigm/mental model — to find structural risks code review misses.

A practical 12-week Agentic AI learning roadmap covering LLM foundations, tool calling, RAG, memory, MCP, multi-agent systems, evaluation, security, and production deployment.

Autonomous Tier-1 Equity Research & DCF Financial Modeling Agent. Produces 10-tab institutional Excel models, 16-page PDF initiation reports, and multi-model valuation.

IDE skills for scaffolding AI agent harnesses: ReAct, plan-and-execute, self-evolving, reflexion, multi-agent, code agent, RAG memory

An AI-native KMS and next-gen RAG prototype. Enforces strict tree-shaped index constraints and compiler-like diagnostics after every write, enabling agents to self-heal knowledge structures and eliminate garbage-in, garbage-out RAG pain points.

Tamper-evident audit logging for OpenClaw and other local AI agents: hash-chained, locally verifiable, zero cloud dependency.

Pre-registered benchmark: HTML dialect + whole-tree rewrite (barkup) vs JSON, granular mutation tools, and two patch dialects, for LLM agents editing typed trees. 9,600 scored runs across 4 models. Findings in REPORT.md.

Self-hosted, governed-autonomy SRE platform: an LLM agent that autonomously remediates infrastructure incidents behind a fail-closed prediction gate, mechanical verdicts, and a tamper-evident ledger. The agent can't act on a belief it hasn't checked.

Evidence router & policy engine for coding agents — enforces source choice and proof-of-use through Claude Code hooks, including routes to MCP tools. Local-first; no LLM in the hook loop.

Agents you can replay, fork and trust. An agent framework for TypeScript and Python, built on an append-only event log.