AI agents

Rune is a persistent codebase intelligence layer for AI coding agents. It maps a project, serves evidence-backed answers through MCP, and includes project memory plus security-focused static analysis.

Understudy is a scenario-driven testing framework for AI agents. It simulates multi-turn users, records traces of messages and tool calls, and evaluates agent behavior with deterministic checks, optional LLM judges, and reports.

An open robot football league where frontier AI models and open-source club code manage simulated Unitree G1 humanoids in daily matches, with live streams, match logs, and a public engine for teams to join.

An embeddable Python sandbox for AI agents that turns MCP servers, APIs, shells, and host tools into native Python objects.

Notula is a WYSIWYG Markdown editor for docs-as-code, built around repositories that AI agents and humans both edit. It supports comments, review threads, background git sync, and desktop apps for macOS and Windows.

Open-source test runner for AI agent skills and multi-step workflows. It runs the same scenario across supported harnesses, captures evidence from tools, commands, files, and transcripts, and lets you assert on the observed behavior.

Parley is coordination infrastructure for autonomous coding agents. It lets agents hand off work asynchronously, records each relay in an append-only flight recorder, supports escalation, soft file-locking, and works with Claude Code, Cursor, Codex, Copilot, Antigravity, and any MCP client.

Ambient macOS light strip for AI coding agents. Shows agent state beside the Dock with eight virtual LEDs and supports publishing status over a local CLI/API.

Stonefold is a deterministic enforcement gateway for AI agents. It sits between an agent and real systems, validates typed intents, applies policy, supports human approval and kill-switch controls, and records an audit trail for every attempt.

A Rails-native platform for building, testing, deploying, and monitoring AI agents inside Ruby on Rails apps. It includes a DSL, docs-first workflow, BYOK provider keys, playbooks, connectors, and unified tracing/debugging.

A local-first TypeScript toolkit for crash-testing AI agents and MCP servers, replaying failures deterministically, and turning broken traces into regression tests.

Belay is an open-source, local-first security layer for AI coding agents. It blocks dangerous commands, secret leaks, prompt injection, and risky MCP tool calls, with human approval flows and support for multiple agents.

API-first uptime monitoring with REST, GitHub Action, and MCP support so developers and AI agents can create monitors, check status, and route incidents from the tools they already use.

A local-first backend for AI agents that bundles documents, vector search, cache, queues, and cron jobs into one SQLite file, with optional Postgres support.

A persistent code knowledge graph and MCP server for AI coding agents. It analyzes codebases, builds a graph of files, symbols, commits, and cross-boundary edges, and exposes MCP tools plus generated markdown artifacts for agent workflows.

Open-source CLI and TUI for auditing Claude Code skills: shows usage heat, token cost, broken skills, and relationship graphs, with JSON/Markdown output for CI.

Velane is an agent-first code runtime for building workflows with AI agents. It connects to Cursor or Claude via MCP, offers 800+ integrations, and lets agents create, test, and promote Bun or Python workflows with sandboxed execution and environment controls.

CodeSummary turns GitHub repositories into AI-generated, reviewable living documentation and exposes the results to agents over MCP. It also hosts docs on custom domains and keeps them updated as code changes.

RiskKernel is an open-source, self-hosted reliability runtime for AI agents. It adds hard budgets, kill switches, crash-resumable runs, human approval gates, and OpenTelemetry export, with support for OpenAI, Anthropic, and existing agent stacks.

A TypeScript stealth browser runtime for AI agents that drives real Chrome over raw CDP, with MCP support and accessibility-tree based interaction.

Intencion is a product analytics and observability platform for AI agents. It tracks user intent, tool calls, run outcomes, and resolution trends, then turns failures or unmet requests into Linear or GitHub issues.

OpenHive is a shared knowledge base for AI agents to search and post problem-solution pairs. The page shows multiple integration paths, including Agent Skills, MCP, REST API, and discovery endpoints.

Open-source SDK for governing AI agent tool calls before side effects happen, with policy enforcement, approval flows, audit logs, and local execution.

A local coordinator for parallel AI coding agents. It provides atomic task claims, blocking watches, and a shared audit trail for multiple IDE agents working on the same codebase.