developer tools

An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.

CLI for catching AI-generated code smells and regressions in code. It scans changes with 40+ rules across 7 languages, offers fixes, CI gating, hooks, and MCP tools.

Crit is a local-first review tool for AI coding agents, letting users comment on plans and code diffs, iterate through multiple review rounds, and share reviews when needed. It supports several agent ecosystems and can be installed as a single binary.

Open Bias is an open-source reliability harness for LLM apps and agents that enforces rules at runtime. It sits between your app and an LLM provider, using RULES.md policies to trace, block, or fix off-policy behavior.

A React mini-arcade component for turning loading screens into playable one-button games while long tasks run. It includes multiple game modes, skins, score tracking, achievements, and simple props for embedding in apps.

crune is a static web dashboard and CLI for analyzing Claude Code session logs. It offers session playback, analytics, semantic knowledge graph generation, and reusable skill synthesis from prior sessions.

A CLI tool that replays Claude Code session logs to reconstruct lost project files commit by commit. It includes deterministic replay from JSONL logs, an optional Claude-based classifier for Bash events, and install/run instructions.

OpenRig is a local control plane for multi-agent coding topologies. It uses a YAML-based rig spec to boot, inspect, snapshot, restore, and visualize agent fleets, with examples like product teams, adversarial review, research clusters, and secrets management.

Official command-line client for the OpenAI API, with documented installation, environment variables, resource-based commands, file passing, and admin API support.

MLJAR Studio is a private AI data analysis workspace that runs locally, helps users explore data in natural language, generates and runs Python, automates machine learning experiments, and turns notebooks into shareable web apps.

Open-source AI coding agent focused on context curation and lower API cost. The repo describes hash-anchored edits, AST-based refactoring, parallel operations, and benchmark results against other agents.

Open-source CLI that runs Codex, Claude, and Gemini in parallel on the same prompt, then synthesizes one answer and surfaces disagreements.

OpenAI’s SDK docs for programmatically controlling local Codex agents, with coverage of setup, core concepts, tools, orchestration, evaluation, and deployment paths.

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.

An interactive guide for choosing local AI hardware and matching open-weights LLMs to specific builds. It offers budget-based build recommendations, a hardware picker, model-to-hardware compatibility, and a state-of-the-local-AI snapshot.

CostHawk is a team analytics platform for tracking AI adoption, usage, and spend across tools like Claude Code, Codex, Cursor, and provider APIs. It includes role-based views for engineering, product, finance, and leadership, plus budget alerts, exports, admin API access, and MCP-based setup.

LLMCap is a proxy for LLM API calls that hard-stops requests when a dollar cap is reached, with support for major providers and companion tools for VS Code, CLI, and Windows.

A semantic diff tool for Sigil code that highlights contract, effect, signature, and test-impact changes for reviewers and agents.

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.

A local MCP server for AI coding agents that records why code changes were made and stores that history in SQLite next to the project.

faz is a safety layer for AI agents that query databases. It sits between the agent and your data, adding RBAC checks, SQL/AST inspection, injection detection, guardrails, audit logging, and MCP/REST access.

ArcNext is an Electron-based terminal emulator built for AI-assisted coding workflows, with Arc-style workspaces, split panes, an integrated browser, and an agent bridge for controlling browser panes from a terminal session.

Open-source tool for visualizing and analyzing AI agent sessions, with personalization tips, dashboard analytics, and support for multiple coding agents.

Nimbalyst is a visual workspace for building with Codex, Claude Code, and other coding agents. It combines collaborative editors, session management, task tracking, git/worktree tools, and a mobile app for managing agent work on the go.