Open Source Developer Tools
Discover 445 open source Developer Tools repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. Developer Tools projects here are most often combined with Python, AI Agents and CLI. Last updated October 4, 2026.
445 repositories · updated October 4, 2026
evalplus: Rigorously Evaluate LLM-Generated Code
EvalPlus evaluates code generated by language models with expanded correctness tests for HumanEval and MBPP, plus efficiency checks through EvalPerf. It is for researchers and developers comparing models or validating generated code more rigorously.
no-mistakes: Gate Git Pushes with AI Validation
no-mistakes routes Git pushes through an isolated, AI-driven validation pipeline before forwarding changes to a configured remote and opening a PR. It is for developers who want automated checks and fixes without disrupting their working tree.
freellmapi: Route LLM Requests Through One API
FreeLLMAPI is a self-hosted TypeScript router that combines free LLM provider accounts and custom OpenAI-compatible endpoints behind one API. It selects models, tracks quotas, and retries across providers, mainly for personal experimentation and development.
guardrails: Validate LLM Inputs and Outputs
Guardrails is a Python framework for checking LLM inputs and outputs against configurable validators and for generating structured data. It suits teams building AI applications that need validation and error handling around model responses.
loop-engineering: Design and Operate AI Coding-Agent Loops
A TypeScript toolkit and pattern library for designing repeatable workflows around AI coding agents. It helps teams discover work, delegate tasks, verify results, and preserve state instead of managing every step through prompts.
gogcli: Manage Google Workspace from the Terminal
gogcli is a Go command-line client for Google Workspace services, including Gmail, Calendar, Drive, Docs, and Sheets. It suits people and automation workflows that need account routing, structured output, and controls over which commands can run.
orca: Coordinate Parallel Coding Agents in One Workspace
Orca is a desktop and mobile workspace for running coding agents side by side in isolated Git worktrees. It helps developers coordinate, monitor, and review agent work, locally or on remote machines.
loopy: Find and Run Repeatable AI-Agent Workflows
Loopy is an installable skill for discovering, adapting, creating, and running bounded AI-agent workflows called loops. It works with the separate Loop Library catalog and suits people who want repeatable tasks with explicit checks and stopping points.
Agent-Reach: Give AI Agents Access to Web Sources
Agent-Reach is a Python CLI that helps AI agents read and search across websites and platforms such as YouTube, Reddit, GitHub, and Twitter. It installs and checks integrations, with some sources available immediately and others requiring login or configuration.
codebase-memory-mcp: Build a Searchable Code Knowledge Graph
A local MCP server that indexes repositories into a persistent graph of code structure and relationships. It helps AI coding agents answer architectural and code-navigation questions with focused queries instead of repeated file searches.
synara: Manage Coding Agents in a Desktop Workspace
Synara is a local-first desktop workspace for coordinating coding-agent sessions with project files, terminals, previews, and Git review. It suits developers who want to run locally installed agent providers and keep execution and review in one place.
Understand-Anything: Explore Code Through Knowledge Graphs
Understand-Anything analyzes codebases, documentation, and knowledge bases, then presents their structure and relationships as interactive graphs. It is designed for developers and teams who want faster onboarding, code exploration, and change-impact analysis through AI coding platforms.