Show HN: Claude Soul – cross-session learning engine for Claude Code
Claude Soul is an MCP server enabling cross-session learning for Claude Code. Extracts interaction signals and builds behavioral frameworks that improve over time.
Claude Soul is an MCP server enabling cross-session learning for Claude Code. Extracts interaction signals and builds behavioral frameworks that improve over time.
Show HN project: Enhanced Copy tool adds AI prompt context to website copy buttons. Minimal technical details provided.
Developer used AI tools (Claude, etc.) to build 126K line Android app in Kotlin despite no prior experience. Case study of LLM-assisted development workflow.
Platform for AI agents to ask questions and share knowledge, similar to Stack Overflow.
Independent researcher documents building a 6x Ada GPU server ($48K) vs. cloud rental costs for AI research.
Analysis of stateless AI coding assistants losing context between sessions. Technical discussion of limitations in tools like Claude Code and Cursor.
Claude Code plugin customizing output format for ADHD-friendly responses with action-first structure.
Distribution Fine Tuning (DFT) post-training technique improves LLM writing quality. Machine learning research on model improvement.
Graphify: open-source multi-modal knowledge graph builder for AI coding assistants using Tree-sitter and LLMs. Enables better codebase understanding.
Beacon: open-source endpoint telemetry tool for monitoring local AI agent activity. Provides visibility into Claude Code, Codex, OpenCode, Cursor agents.
Novel training algorithm (Distribution Fine Tuning) improves LLM output quality by better matching training data distribution. Includes technical report and demo.
Technical analysis of security and self-defense mechanisms for autonomous AI agents at runtime.
Recursive Language Models (RLMs): inference paradigm enabling LLMs to handle near-infinite context via recursive decomposition and self-calling. Includes paper, docs, code.
Marlin-2B: 2B parameter video VLM for structured event extraction with timestamps. Open-source model for video understanding and querying.
Joule Index: Benchmark for measuring AI cost and energy efficiency.
Specification-driven development workflow for Claude Code agent. Limited content provided.
Techniques (LP, FUSE, C/R, CUDA-checkpoint) reduce LLM inference cold start latency by 40x.
Tag: local-first trust and governance layer for AI agents without cloud dependency or account requirements.
Benchmark evaluation comparing different quantization methods for MLX models, measuring parameter precision reduction and inference quality impact.
Foundry Local 1.1 release addressing fragmented local AI pipelines with unified platform.
Commercial service using computer-use agents for Portugal visa appointment automation. Business product with limited technical depth.
Technical analysis of SAM 2 video segmentation model, critiquing FIFO memory eviction approach and discussing promptable foundation models.
Cursor Composer 2.5 update announced. Developer tool update but no technical details provided, headline only.
Technical analysis of transformer residual stream perturbation and LLM output sensitivity using closed-form methods. Original research into model behavior and geometry.
Overview of formal verification using low-level languages and Lean proof assistants, gaining adoption in Ethereum research and computing.
M1 proposes that AI agents should generate persistent, scalable, self-hosting UI systems.
Elmo: MIT-licensed open source tool for prompt evaluation and brand monitoring across ChatGPT, OpenAI, Anthropic, Mistral APIs. Open source developer tool with practical applications.
Open source AI coding agent optimized for small LLMs. Directly matches interests in agents, open source, and developer tools.
Talk keynote on AI agents in Singapore. Links to presentation slides but limited summary content. Directly relevant topic with unclear depth.
Antislop framework detects and eliminates repetitive lexical patterns in LLM output through backtracking-based inference suppression and automated profiling.
ImpactArbiter is a PyTorch tool detecting silent failures in LLM-generated tests for KV-cache kernels caused by LLMs hallucinating bugs in both code and tests.
Nairobi OS: high-performance distributed data science infrastructure using Rust, optimized for edge/IoT with sub-millisecond IPC and zero-copy pipelines.
Skybridge v1.0 releases MCP Apps framework with simplified API, unified tool registration, and revamped developer tools.
Safety mechanisms for preventing AI agents from executing harmful terminal commands.
InsForge: Open-source Apache 2.0 platform (YC P26) providing Heroku-like backend for AI coding agents to deploy, operate, and debug end-to-end.
MIT 6.566 guest lecture on AI Agent Security with runnable demos covering completion, tool use, and safety topics.
CATE: Open-source spatial desktop IDE for arranging code, terminals, browsers, and dev tools on infinite canvas.
Discussion of risks when AI fallback/override code paths become primary production paths.
Infrastructure requirements and patterns for building functional AI agents using local LLMs.
Analysis of how AI tools are changing developer productivity metrics and workflows in 2026.
Merrai tool for portable AI context management across Claude, ChatGPT, and MCP-compatible platforms.
Protocol for implementing tool-calling in open-source local coding agents, comparing approaches across FunctionGemma and Qwen models.
Andrew Ng's course on AI prompting techniques for LLM applications.
Technical analysis of emerging LLM architectures optimizing long-context efficiency: KV-cache sharing, multi-head compression, and attention mechanisms.
Empirical study from Stanford/DeepMike/MIT analyzing token consumption patterns across 8 frontier models on 500 SWE-bench tasks with released dataset.
Minimal 72-line HTML LLM agent implementation demonstrating agent capabilities in simple, compact form.
Personal workflow guide for capturing ideas via voice with local LLMs and Obsidian note-taking.
Honeypot threat intelligence feed and MCP server exposing attack patterns from a year of network monitoring.
CC0 dataset collection for AI training and fine-tuning published freely on Hugging Face and Neurvance.
Analysis of token inefficiency in AI coding agents, showing 73% redundant reads; proposes framework for optimization.