PR-Agent

oss-pr-reviewer is an AI-powered command-line tool for reviewing GitHub pull requests and producing structured Markdown or JSON reports for maintainers. It fetches pull-request metadata and changed-file patches with Octokit, normalizes reviewable content, skips binary, patchless, truncated, and oversized files with explanations, and splits large text diffs into deterministic batches without cloning or executing the repository code. The tool sends batched changes to OpenAI for structured findings, validates responses with Zod, then merges, deduplicates, orders, and filters findings by severity. It can apply repository-specific review rules and ignored paths from a trusted base-branch `.oss-pr-reviewer.yml` file, retry transient GitHub and OpenAI failures, and optionally publish bounded advisory reports through GitHub Actions. It requires Node.js 20 LTS or newer and, according to the repository, is run from a checkout because its package-ready release is not yet published to npm.

Prime Agent is an open-source command-line coding and research agent for general and long-running tasks, developed by Prime Intellect. It combines recursive language-model workflows through an RLM harness with a persistent Python REPL, treating prompts as variables and invoking tools and recursive subagents programmatically. A continual harness stores supplemental prompts, memories, skill descriptions, and reusable subagent specifications as durable session state that can be refined through small, evidence-backed updates without changing the immutable base system prompt. The agent supports importable Python skills, parallel or background child agents, messaging between running agents, automatic context compaction, persistent goals, heartbeats, schedules, detached sessions, autonomous operation, and retained subagents.

Open Code Review is an open-source, AI-powered command-line code-review tool developed from Alibaba Group’s internal review assistant. It reads Git diffs and sends changed files to a configurable LLM through an agent with tool-use capabilities; the agent can read complete files, search the repository, and inspect other changed files for context before producing structured comments tied to source lines. Its hybrid architecture combines deterministic engineering with dynamic agent decisions: deterministic stages select and bundle files, match rules to file characteristics, and apply independent comment-positioning and reflection modules, while scenario-specific prompts and tools guide context retrieval and review. The `ocr scan` command audits complete files or directories without requiring a meaningful diff, and the project provides multilingual rules for issues including null-pointer exceptions, thread safety, cross-site scripting, and SQL injection. It supports configurable model endpoints, including OpenAI- and Anthropic-compatible endpoints, and requires Git 2.41 or newer.

Agent Review is an open-source skill for reviewing agent work, developed by Corey Gallon for Claude Code and Codex. It provides three cumulative review levels: Level 1 requires the agent to identify the expected artifact and verification check, then finish with an ARTIFACT-VERIFIED status and fingerprint or an ARTIFACT-MISSING explanation; Level 2 has two agents independently extract facts, uses a control total, and settles every difference against the original source; Level 3 adds a self-audit, adversarial cold reviewers with explicit reasons to challenge the work, and fresh reviewers who check the revised result. Claims are classified as measured, source-verified, inferred, or assumed, and findings and fixes are independently checked against the source. The skill is installed by cloning its repository into the Claude Code or Codex skills directory and is released under the MIT license.