open-source

Rapunzel is an open-source desktop app for managing agent sessions in a tree-style terminal interface. The README explains its purpose, install steps, launch commands, build instructions, and the core features: branchable terminal sessions, workspace persistence, and session management actions like rename, move, collap

An open-source desktop client for editing LLM context with a separate AI model, context maps, compression tools, and revision rollback.

Open-source AI agent harness tool that lets an agent wipe its session context and replay the first message, designed for loop-based agent workflows.

A blog post about verifiable RAG that benchmarks open-source NLI verifiers against Claude on RAGTruth and describes a Python library for sentence-level citation and claim verification.

A tool that analyzes local Claude Code logs to show where tokens, time, and cost go across a month of usage, including re-reading context, cache reads/writes, and subagent activity.

An open-source bridge that lets AI IDE chat sessions resume asynchronously from timers, shell commands, or webhooks. It supports VS Code GitHub Copilot Chat and Windsurf, with local HTTP endpoints and a quick-start flow shown in the repo README.

An open-source ID library that generates human-readable, token-efficient IDs for AI agents and LLM workflows, with parsing, validation, deterministic IDs, and alias mapping utilities.

An open-source probabilistic spreadsheet that lets cells hold distributions, confidence intervals, and ranges instead of single values, with formulas that propagate uncertainty.

An open-source browser experiment that uses a visual LLM to read HTML and hallucinate the rendered page instead of using a traditional rendering engine.

A macOS utility that keeps a MacBook awake while AI agents are running, then lets normal sleep resume when they go idle. It includes install scripts, hooks for Claude Code and Codex, and a menu bar status indicator.

A Claude Code plugin that plays background lounge or elevator music while the agent is thinking, with track rotation, stop/start controls, and status-line integration.

A drop-in memory plugin for Hermes Agent that uses a pull-model episodic memory approach with real deletes and audit traces. It supports synchronous writes, trace logging, and Claude-backed summarization for on-demand recall.

An open-source simulator that studies how GPT inference behaves under space radiation and cosmic-ray fault conditions, with CLI runs, comparisons, and self-contained HTML reports.

A Steel blog post that dissects Claude Code’s deep-research workflow and contrasts it with other research systems. It also positions Steel as an open-source browser API for AI agents, making the page relevant for AI builders.

Open-source TypeScript project for building a minimal coding agent that can write and modify its own code, with setup instructions and example commands in the README.

An open-source Python project that uses a local 7B diffusion language model to make real-time Gymnasium decisions with zero training. The README shows install steps, a code example, and benchmark-style results across several environments.

A custom Iosevka font build inspired by Anthropic Mono, with prebuilt releases and source build instructions.

A short policy file for the ripgrep project that explains how contributors may use AI tools while contributing, and sets rules for issues, pull requests, and comments.

A minimal LLM agent packaged as a single HTML file. The README explains how to run it locally, set the LLM host, API key, and model, and use chat("hi") from the browser console.

An open-source experiment that adds a small zero-initialized overlay layer to a frozen GPT-2 so its behavior can be adjusted at inference time without retraining the base model.

An independent white paper proposing a local-deployment path for frontier AI weights, with a PDF, generator script, and a detailed README outlining the argument, sections, and contribution process.

Open-source AI infrastructure project focused on GPU memory management and serving, with a Python control plane, C++ data plane, and optional CUDA kernels.