Show HN: Fence – Jiminy Cricket for AI coding agents
Open source tool that prevents AI coding agents from executing dangerous commands by understanding intent rather than using denylists.
Open source tool that prevents AI coding agents from executing dangerous commands by understanding intent rather than using denylists.
Validation tool for Agentic Commerce Protocol spec compliance, catches violations before OpenAI conformance certification.
Analysis of why AI agents lack persistent memory by design, examining stateless architecture chosen by LLM providers and its implications.
Research on agentic AI system for historical inscriptions analysis, reconstructing damaged ancient texts with uncertainty estimation.
Native desktop app for running and managing multiple AI CLI agents simultaneously, preserving session state across restarts.
Technical article on architecture patterns for AI agents, deciding when to implement functionality as tools versus subagents to avoid over-engineering.
Educational visualization tool with open source code showing AI agent reasoning and decision-making processes step-by-step.
WebGPU runtime implementation enabling 1.7B parameter LLM inference in browser using 1-bit quantization.
Open source tool for humanizing AI-generated text based on 50 research papers, analyzing sentence rhythm, punctuation, repetition patterns.
Technique to reduce LLM output tokens by ~50% in agent sessions by eliminating redundant code block echoing in file edits.
SLayer, an open-source semantic layer for AI agents, evaluated on text-to-SQL benchmarks to improve product quality across diverse use cases.
Serverless document database running entirely in S3/R2 buckets with HTTP request execution layer, designed for LLM API compatibility.
Monitoring and optimization tool for GenAI costs and endpoint performance across multiple LLM providers, with pricing comparison and usage tracking.
Analysis of multi-agent orchestration as alternative to larger context windows for handling long sequences, showcasing SwarmOS platform for specialized agents.
Technical approach using final token preference optimization to reduce inference-time doom loops where models repeat spans, improving over repetition penalties.
Cubic code review analysis comparing bug rates between Codex and Claude models across thousands of commits.
Wayflow, open-source embeddable AI workflow builder with node-based editor and integrated runtime for agentic products.
Pitara meeting notes tool that organizes discussions into shareable memory for integration with AI tools.
Critique of AI visibility dashboards in search optimization, questioning their cost-effectiveness.
Prizmi proactive AI assistant for cross-device tasks with privacy-first design, controlled via messaging apps.
Discussion on how over-reliance on LLMs for quick solutions may cause complexity creep and cognitive debt in organizations.
Free website tool that simplifies LLM prompting across 40 languages.
Rowboat, open-source local-first alternative to Claude Desktop with extensible work surfaces for custom applications.
Declaw credential vault design for safely giving untrusted AI agents access to secrets without exposing them, even under prompt injection.
GPU-accelerated context memory implementation for on-device AI agents on Apple Silicon processors.
Atrophy command-line tool measures coding skill degradation by regular unassisted exercises with automatic grading and skill ratings.
SOCBench: open benchmark measuring AI performance on security operations tasks, addresses 36% false positive problem with LLMs.
Developer tool for generating realistic OpenTelemetry traces including AI agent scenarios. Open source single binary.
Tool implementing deterministic context folding technique for AI agents. Lacks detail but addresses agent optimization.
Developer shares experience using Claude for code review on Beagle SCM, notes LLM limitations with precision and context.
Local proxy that redacts PII in LLM API calls and tool arguments before data leaves machine. Drop-in middleware with zero telemetry.
Technical specification for optical interconnect networks for AI infrastructure co-designed by major tech companies.
Theory of constraints applied to AI-assisted code review. Title only, insufficient content.
Bloomiro: MCP tool enabling AI agents to analyze SEO and search visibility issues. Practical agent application.
Mozilla's Otari: open-source control plane for managing LLM deployments and inference.
Tutorial on building an AI audiobook narrator using Telnyx's AI inference and text-to-speech services.
Open source OCR pipeline using vision language models for document parsing. Processes 20 pages/sec on single GPU at $0.04 per 1000 pages.
Open source AGPL MCP tool using Cloudflare AI Search to index repos, enable agents to search documentation and answer project questions.
Multi-agent system for Applied: researchers gather AI adoption data, translator makes Spanish content, matcher connects users. System expanded with model research agents.
Rewire Text: cross-platform tool for system-wide text transforms using local models or APIs (OpenAI, Anthropic, Gemini, etc).
Benchmark comparing 5 AI coding agents (Claude, Codex) on 3D plant simulation task using three.js and biology simulation.
html-hub.com: public library for organizing HTML artifacts from AI agents, supports transcripts and citations.
Analysis of AI-generated UGC ad economics: $1-11 per video vs $185 human-made, excludes conversion and platform labeling costs.
Bastion: open-source orchestrator for running background coding agents in self-hosted VMs with reproducible environments.
DocFlow: GitHub App that auto-generates README, API docs, and changelog drafts when PRs merge.
CorvinOS: self-hosted agentic OS with GDPR/EU AI Act compliance built-in, connects multiple LLMs to messaging platforms.
Claude Code skill enabling orchestration of Google Antigravity CLI agents for autonomous subtask delegation during development.
Visual calculator for comparing LLM API pricing across providers like OpenAI, Claude, Gemini.
SigMap generates deterministic repository maps designed for AI coding agents to understand codebases.
Research on computer-use agents showing need for spatial understanding maps rather than smarter models to interpret UI significance.