Show HN: Oodle.ai – $10 per million agent traces
Oodle.ai: agent trace observability platform with columnar storage, stores non-deterministic LLM agent traces at $10 per million.
Oodle.ai: agent trace observability platform with columnar storage, stores non-deterministic LLM agent traces at $10 per million.
Context bombs: hidden strings in canaries that trigger AI agent safety guardrails to prevent autonomous cyberattacks.
Hiver: Chrome DevTools for debugging and optimizing AI agents, providing visibility into model behavior, memory, and token usage.
Article exploring career progression for engineers as AI tools automate code writing, questioning traditional mentorship models.
Terraform-like configuration system for managing agent state and memory with governed ontology structure.
MCP server for YouTube research integration with ChatGPT and Claude.
Stub entry with minimal content about tool output isolation.
Collaboration tool for real-time pair prompting with AI agents. Turn sessions into blog posts. Beta launch seeking testers.
Cost tracking tool for AI coding agents showing real-time billing, model usage, and itemized receipts per session.
Tool converting production LLM traffic into CI regression tests at zero cost.
Self-hosted Next.js boilerplate for MCP servers with OAuth 2.1, API key management, Stripe usage billing, and Redis rate limiting.
Explores using Domain-Specific Languages as abstractions to guide LLMs toward reliable code generation, with Tickloom distributed systems example.
Open source HTML parser with CSS selectors for AI agent data extraction. MIT/Apache-2.0, zero dependencies, supports MCP protocol.
MCP time server tool that provides LLMs with accurate clock access, solving issues where AI assistants lose track of time in long conversations.
Redis Lua-based atomic pre-call budget checking system for LLM requests to prevent token overspend.
LLM gateway with analytics, PII redaction across SSE boundaries, and per-provider support (OpenAI, Anthropic, Gemini, Groq, Mistral, DeepSeek, xAI, OpenRouter, Azure).
Computer vision optimization that runs SAM2 segmentation only when tracker uncertainty is high, achieving #1 on SportsMOT benchmark.
Terminal workspace multiplexer optimized for running multiple AI coding agents in parallel with git integration.
VisualEther converts Wireshark network captures to sequence diagrams with MCP protocol support for AI analysis. Open source developer tool.
Nova is an observability and orchestration dashboard for AI products. Tracks prompts, evaluates quality, and runs controlled experiments on prompt variants.
Proposes cryptographically-signed media provenance as alternative to AI-generated content detection, arguing detection is unwinnable arms race.
Discussion asking for objective research and benchmarks comparing programming languages for AI agent development across frontier LLMs.
Town is a Discord-like pixel town interface where users interact with AI agents as NPCs with specialized skills. Built as a shareable tool leveraging Claude for multi-agent reasoning patterns.
Framework for personalized LLMs that emulate user values and preferences using imitation learning and Decision Transformers for productivity and security.
Mnemo AI is a local agentic assistant built on LangGraph supporting multiple LLM providers, MCP integration, and RAG. Learns from failures with conversation management.
Analysis showing that different LLM tiers (Opus vs Haiku, Pro vs Flash) produce inconsistent answers on identical tool recommendation queries.
Open-source project training an RL agent that trains other models via RL. Includes trained weights, code, task families, and cost breakdown. Meta-learning approach to AI training.
Lenz is a fact-checking API for AI-generated content using multi-model debate and citation verification. Supports integration with ChatGPT, Perplexity, Gemini.
Analysis of US-China AI competition following DeepSeek R1 and other open-source Chinese LLM releases, market impact, and government responses.
Lessons learned deploying production AI apps: discusses complexity scaling, context window limitations, code quality degradation when using AI to build features iteratively.
Discussion of offensive security adaptations needed for AI agent systems and autonomous attack capabilities.
Speculative essay comparing LLM adoption trajectory to database industry: potentially becoming essential infrastructure rather than revolutionary technology.
Verbatimeter: Open-source tool for detecting fabricated quotes in LLM outputs using deterministic verification of groundedness. Includes decorator and CLI for RAG agents.
Codex multi-agent framework regression where sub-agent prompts encrypt after code merge, affecting spawn_agent and message handling.
Case study of Bun JavaScript runtime replacing 1M lines of Zig with Rust using Claude AI coding. Documents AI-assisted large-scale code migration.
On-device macOS meeting transcription app using Parakeet, Gemma 4, OpenClaw, and Hermes Agent. Free, source-available, supports local model connections.
Using Claude and Codex models to enhance GNU-Pth threading library with m:n threading support. Minimal detail provided.
Technical narrative on using LLM agents for Python project restructuring and building a new project (watgo) from scratch with agent assistance.
Analysis of GPU supply/demand dynamics for AI/ML infrastructure. Projects supply-demand convergence around 2028 amid token demand growth.
arXiv research on mechanistic interpretability of LLM evaluators. Analyzes how LLMs function as judges.
Open source tool providing isolated containers for AI coding agents with full system access, credential protection, and active defense.
ORM-layer access control system designed for AI coding agents with RBAC/ABAC support.
Efficient RL fine-tuning for LLMs using off-policy rollouts to reduce computational cost in verifiable reward-based reinforcement learning for reasoning tasks.
Algorithm for online constrained MDPs achieving improved regret bounds under stochastic and adversarial constraints beyond Slater's condition.
Foundation model for graph optimization using language model paradigm to handle OR problems on graph structures while managing combinatorial constraints.
Identifies missing bridge entity supervision as cause of multi-hop reasoning failure in transformers; proposes identity bridge supervision improving out-of-distribution composition.
Distribution Matching Policy Optimization: RL algorithm designed for diffusion LLMs enabling reasoning tasks with higher inference throughput than autoregressive models.
CANDI: hybrid diffusion model for discrete and continuous data, analyzing token corruption mechanisms through identity and rank degradation.
Framework enabling transformers to trade off inference efficiency and quality dynamically, controlling sparse/linear attention and convolutions per layer.
Interlat: enables LLM-based agents to communicate directly in latent space, bypassing discrete tokens for richer information exchange in collaborative problem-solving.