developer tools

A dynamic MCP server that turns JSON configs into callable API tools, with lazy tool discovery, hot reload, and a hosted console/registry.

A Rust CLI and MCP server for orchestrating multiple coding agents, fusing their answers, and resuming or routing agent sessions locally.

Caplets is a developer tool that wraps MCP servers into smaller capability-based surfaces for coding agents. The site explains the workflow, setup, example capabilities like OSV, GitHub, and Sourcegraph, and includes benchmark results plus docs links.

Ponytrail is a CLI and bundled agent skill for tracking why files changed, viewing a local history tree, and reverting snapshots in AI coding workflows.

An open-source Claude skill that runs structured retrospectives after sessions, applies improvements to the right layer of your Claude setup, and keeps a dated audit log of changes.

Platinum.ai creates AI Website Profiles in llms.txt format so businesses can be read more easily by ChatGPT, Claude, Gemini, and other agents. The page includes a live scan CTA, a simple three-step workflow, industry examples, and pricing starting at $99.

Go packages for building agents in Go, with a streaming runner, tool dispatch, guardrails, compaction, provider adapters, and verified completion helpers.

infer0 lets users connect their own AI provider keys and authorize apps to use them, while developers integrate once and route requests through a provider-agnostic API layer.

Ponytail is a repository and plugin toolkit that pushes AI coding agents to choose the smallest useful implementation first, favoring stdlib, platform features, and one-line fixes over larger generated code. The README shows installs and usage paths for Claude Code, Codex, OpenCode, Cursor, Windsurf, Cline, Copilot, Ai

macOS CLI tool that load-balances Claude Code sessions across multiple subscriptions by selecting the emptiest account before launch.

Workplane lets users publish Markdown, HTML, PDFs, and screenshots as shareable pages for humans and agents, with comments, versioning, and MCP-based publishing from AI tools.

Command Center is a local AI coding environment focused on helping developers run multiple coding agents, review large diffs, and turn AI-generated edits into cleaner, production-ready code.

An open-source handbook for production LLM serving and inference at scale, covering GPU fundamentals, KV cache, batching, quantization, speculative decoding, and engines like vLLM, SGLang, and TensorRT-LLM.

Swift package for building provider-agnostic AI agents on Apple platforms, with tools for runtime permissions, hooks, context compaction, session state, validation loops, and traceable execution.

A Claude Code skill for multi-agent code review that produces findings.md with severity, impact category, verification artifacts, and fix directions.

QVAC SDK 0.12.0 adds TurboQuant, a KV-cache quantization feature for local LLM inference that claims up to 5x more context on-device with no retraining or code changes.

DeepSWE is a benchmark for measuring frontier coding agents on original, long-horizon software engineering tasks. The page shows a leaderboard, methodology overview, task examples, and a full blog explaining the benchmark design and results.

VAEN is a CLI for packaging AI coding-agent setups into portable .agent archives and importing them across repos or teams without copying instructions, skills, MCP config, or secrets.

Hodor is a native macOS prompt launcher that lets you save prompts and paste them into ChatGPT, Claude, or other AI tools with shortcuts, edge browsing, or keywords. It is open source, notarized, and runs fully local with no data collection.

A file-based protocol and CLI for coordinating multiple AI agents across runtimes, with typed messages, review loops, and shared memory on the local filesystem.

A file-backed workflow for resumable coding-agent projects, using Markdown records, a CLI, and bundled workflow skills to keep project state on disk instead of in chat.

Open-source, local MCP-based context layer for AI coding assistants. It scans a codebase, builds a behavioral graph, and aims to improve architectural understanding while reducing input-token use on large repos.

Paid public API for finance built on the Neurobro agent. The docs show API key authentication, a single ask endpoint, tier-based modes, billing, rate limits, errors, examples, and a quickstart.

A CLI guard for MCP stdio servers that checks for stdout pollution, handshake failures, invalid JSON-RPC frames, and startup/runtime issues before clients hit them.