Infrastructure Agents Guide – Design and operate AI agents for infra safely
Guide on designing and operating AI agents for infrastructure management. Covers spectrum from copilot-mode suggestions to autonomous agentic deployments.
Guide on designing and operating AI agents for infrastructure management. Covers spectrum from copilot-mode suggestions to autonomous agentic deployments.
Pydantic Monty: open-source minimal Python sandbox in Rust for safely executing code written by AI agents. Enables efficient code generation vs tool calls.
Web interface for controlling 16+ CLI AI agents remotely. Limited technical detail provided.
Open source Bun CLI providing disposable email inbox access for AI agents, MIT licensed with JSON output.
OpenCode plugin providing persistent shared memory for AI coding agents across sessions, storing decisions and discoveries in Rust backend.
Research benchmark measuring AI model compliance with dystopian directives across 5 escalation levels in infrastructure, weapons, and surveillance domains.
CLI tool using Google Gemini to evaluate job postings from HN's Who's Hiring threads against user preferences and resume.
macOS app exposing Apple's on-device Foundation Models via OpenAI-compatible local API for running AI without cloud services.
Terminal UI for self-hosted AI agents on Jetson edge devices, optimized for air-gapped environments with 17 tok/s on Orin Nano.
GitAgent: framework-agnostic open standard for defining AI agents via repository configuration. Single command deploys agents across Claude, OpenAI, or custom backends.
Ragtoolina MCP server: pre-indexes codebases for AI coding agents. Benchmarked 63% token reduction and 43% fewer tool calls vs file scanning approach.
Claw: MCP server enabling AI agents remote machine access via SSH. Provides bash, file operations, and editing tools without opening ports or requiring root.
Comparison of four techniques for extending LLM capabilities: RAG, RLM, SKILL, and MCP. Covers implementation mechanics, tradeoffs, and usage guidance.
Technical comparison of RAG, Skill, MCP, and RLM approaches for extending LLM capabilities: context expansion and external tool access patterns.
Open-source expense tracker with SQL API for AI agents. Five-year transaction dataset, personal finance forecasting features.
IFC/BIM building model viewer built entirely in Rust (Leptos, Bevy) compiled to WebAssembly with photometric data visualization.
OpenPencil: open-source, AI-native design editor alternative to Figma. Full read/write MCP support, fully local, active development.
Analysis of LLM persona instability in long-running agents. Proposes structural identity layers as architectural solution beyond prompting.
O'Reilly article by Addy Osmani on writing specifications for AI agents. Content appears truncated in provided text.
MCP server for Himalayas recruiting platform. Enables talent search, evaluation, messaging via AI chat. Job listing and applicant management.
mini-coder: lightweight terminal-native CLI coding agent built on Bun.js. Fast startup, TypeScript native, minimal UI, mostly self-written.
X's recommendation algorithm rewritten from Scala to Rust+Python microservices architecture for content ranking and serving.
Omni: open-source workplace search and chat platform self-hosted on Postgres and pgvector. Connects to Google Drive, Slack, Confluence. Alternative to Glean.
OpenClaw bot framework with Gisia project platform exposing machine-readable skill files enabling AI bots to perform DevOps tasks via REST API.
Proof-of-concept for deterministic symbolic memory layer accessible via MCP protocol to ground LLMs with explicit knowledge resolution instead of probabilistic recall.
Axiom: structural OCR tool using LLMs to preserve layout and formatting of handwritten STEM notes including equations, derivations, and tables.
OxyJen: open-source Java framework for orchestrating multi-step LLM pipelines with graph-style execution, structured type safety, and testability.
Implementation of JSON schema structured outputs for LLMs using outlines-core library in custom inference runtime.
LTX-2 open-source diffusion model for audio-to-video generation with prompt enhancement via Gemini for improved synchronization.
Long-running autonomous OpenClaw agent managing full blogging pipeline including writing, image generation, git workflows, and deployments.
Review of Strix, an agentic AI framework designed for penetration testing and vulnerability discovery.
Steward ambient AI agent that autonomously handles low-risk work by monitoring GitHub, email, calendar with policy-gated execution.
Nous framework for building AI agents using Cognition Engines and Society of Mind principles for decision memory and learning.
Clenv tool manages multiple Claude Code profiles with git versioning for context isolation across different development roles.
Analysis of paradigm shift in agentic software engineering where abstraction level changed fundamentally for developers building with AI.
AI Scientist v3 extends autonomous research from 1-hour to 24-hour experiments using reviewer agent for iterative hypothesis refinement.
Actionbook provides real-time DOM structure and action manuals to browser automation agents for reliable website interaction without hallucination.
HumanMCP dataset providing human-like queries for evaluating tool retrieval performance in Model Context Protocol (MCP) servers.
Agentic LLM system with RAG for automating adverse media screening in AML compliance, reducing false positives from keyword-based approaches.
MMKG-RDS is a framework for synthesizing training data using multimodal knowledge graphs to improve domain model reasoning capabilities.
PseudoAct introduces pseudocode-based planning for LLM agents to reduce token consumption and improve stability on long-horizon multi-tool tasks.
ODAR-Expert presents an adaptive routing framework for optimizing accuracy-efficiency tradeoffs in LLM reasoning via active inference instead of uniform sampling.
Method for hierarchical failure attribution in multi-agent LLM systems using causal graphs to improve observability and debugging of complex agent interactions.
ProductResearch proposes a multi-agent framework using trajectory distillation to train LLM-based agents for complex e-commerce product research tasks.
Auton framework addresses architectural mismatch between stochastic LLM outputs and deterministic backend systems for agentic AI deployment.
MERaLiON2-Omni: 10B multilingual MLLM for Southeast Asia addressing perception-logic tradeoffs in omni-perception tasks.
Domain generalization method leveraging reasoning chains in MLLMs to improve robustness under domain shift.
EMO-R3 applies reflective reinforcement learning to improve emotional reasoning capabilities in multimodal LLMs.
RUMAD: reinforcement learning approach to multi-agent debate that adapts topology to task complexity while maintaining debate neutrality.
RF-Agent uses LLM-based tree search to automatically design reward functions for control tasks with improved historical feedback utilization.