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Klent is an AI agent guardrails product that sits between agents and their tools, letting teams allow, deny, pause, rewrite, or redirect tool calls with policies, human approval flows, and audit trails.

Strict Go static analyzer built for LLM-written code, with opinionated checks, annotation-based exceptions, caching, and Claude Code hook integration.

An open-source TypeScript framework for building reactive AI agents around a shared agentic environment. The README explains the event model, participant types, and basic installation and usage.

Local encrypted vault that captures supported AI assistant sessions from Claude, Codex, Cursor, OpenClaw, and similar tools, then normalizes and stores them for search and review.

Ragnerock is a research intelligence platform that turns raw sources into queryable, structured data. It supports extraction, analysis, and research workflows across SQL, Excel, PDF, HTML, images, and other sources, with audit trails and deployment into existing infrastructure.

A Java framework for building stateful multi-agent workflows on top of Spring AI, with graphs, routing, retries, checkpoints, and shared state.

A Chrome extension that helps users triage Gmail with one-click actions, bulk sender sweeps, optional phishing checks, and optional AI summaries using their own keys.

Emailclaw is a local-first AI agent that uses email as the main interface for tasks, with subject-based project isolation and scheduled automation. The repository includes a product overview, core features, how it works, and quick-start install instructions for multiple platforms.

Verso is an open-source macOS app that orchestrates local AI agents for knowledge work, with app connections, local memory, and support for switching between frontier models.

An open-source tmux plugin that shows Claude Code and Codex activity status, with window indicators plus optional popup and sidebar views.

Open-source CLI and deployment engine for shipping open-source LLMs to AWS or GCP from a single command, with scale-to-zero and serverless provisioning inside the user's own cloud account.

A Rust PTY wrapper that adds Codex-style syntax colors to Claude Code shell commands without changing how Claude Code runs.

Uno is a research repository for speeding up LLM inference with discrete diffusion and lossless multi-token decoding. The repo includes inference, training, and evaluation code, plus installation steps, checkpoints, and example workflows.

A no_std Rust memory engine for on-device LLM agents that uses provenance-aware recall to keep a model’s own output from becoming evidence.

A public leaderboard comparing how different language models solve Redactle under several evaluation setups, with cost, speed, and solve-rate data.

HEIDES is a deterministic local harness for AI coding agents that maps a codebase, grounds plans against the current graph, and checks proposed patches for conflicts, edge cases, and security issues before changes land.

A local zero-dependency sandbox for agents that records files, commands, database activity, network access, and screenshots for review before approving changes.

A terminal-based Claude Code add-on that turns the status line into an 80s arcade display with playable themes like Ms. Pac-Man, R-Type, Frogger, and W.O.R.P.

TronZap is a TRON resource rental service for buying energy and bandwidth to reduce USDT TRC-20 transaction fees. The page also shows an API, SDK example, Telegram bot, dashboard, recurring rentals, and AML wallet screening tools.

A browser-based WYSIWYG editor and presenter for decks written in Markdown, with optional AI usage for rewriting and figure generation workflows.

Open-source desktop SSH client with terminal sessions, SFTP, port forwarding, jump hosts, key vault, and an optional MCP bridge for AI agent access.

A local bridge that connects Claude Code and Codex for bidirectional, in-session collaboration. It supports turn-based message passing, cross-review, pair-aware workflows, and resume/diagnostic commands for running multiple agent pairs.

Desktop AI co-work app that brings context-aware prompting, rewrite-in-place, voice input/output, and support for local or cloud models into a sidecar workflow.

Anthropic’s research preview introduces the Model Hardware Standard (MHS), a shared spec for AI agents to control physical devices and orchestrate lab or manufacturing equipment. The page explains how the standard works, shows early lab examples, and positions it as an upcoming open source standard for hardware integra