developer tools

A Claude Code playbook for engineers who want to drive internal adoption on their team, with guidance on what to share, how to answer questions, and a 30-day rollout plan.

A curated directory of 116+ AI agents, frameworks, and tools, organized into categories like coding, browser automation, voice, and customer support. It offers free listings, featured placements, and human-reviewed submissions.

A small open-source C# tool for local inter-agent collaboration in coding workflows, with shared chat state, role memory, Markdown messages, and goal tracking inside a Git repo.

A source-available JavaScript browser agent for asserting end-to-end behavior in real user sessions. The repo explains the annotation-based approach, how it runs in staging and production, and how to install and initialize it via CDN or npm.

An early-access AI research assistant that presents a cited mindmap of AI agent safety and alignment research, with expandable nodes, source-backed claims, and built-in verification checks.

A workbench report comparing MiniMax M3 and GLM 5.2 on autonomous coding tasks, with scored results, latency and cost data, task-type breakdowns, and examples of where each model performed better.

GRID is a small framework for working with coding agents in a spec-driven way. The repository explains its purpose, basic workflow, and how it can be used in CI/CD to check for spec-code-test mismatches.

An Emacs package that acts like an AI pair programmer and teaching assistant while you code, with save-time reviews, follow-up questions, and architecture memory for local projects.

A Python MCP server that lets a parent LLM delegate work to named sub-agents defined in YAML, with per-agent prompts, model settings, and downstream MCP tool access.

A technical guide that shows how to build a small CLI-based LLM agent for microservices using tool discovery, model calls, conversation history, and a REPL loop.

An agent skill for starting or extending Django projects, with ready-made scaffolding, stack choices, and safeguards for common production pieces like auth, jobs, Redis, email, and deploy setup.

A developer tool for adding Sign in with ChatGPT and using signed-in OpenAI access in apps via a TypeScript SDK and auth headers.

Kiwi is a secure agentic control plane for running autonomous developer loops in the cloud while keeping secrets on the local machine. The repo describes a reverse-tunnel flow, credential caching, pause/resume behavior, Docker sandboxing, and a dashboard for monitoring tasks.

An open-source, Kubernetes-shaped control loop for agent-driven work. It watches external systems, makes one LLM-driven move per beat, and supports human-in-the-loop approvals through a file-based contract.

A GitHub repository of agent skills for reviewing conversational AI product UX from a codebase, including discovery, review, and recommendation workflows.

taste-ai is a command-line tool that compresses project context for AI agents and learns coding patterns from session logs, git history, and prompts. The README shows install steps, a quick start, command examples, and a workflow for generating compact session context and updating pattern files.

Public GitHub repository describing how to access a large Powerset Research GitHub dataset through an MCP server or DuckDB. Includes no-auth access, schema-aware SQL use, and example queries for agents and analysts.

A Python-based coordination protocol and daemon for running multiple LLM sessions in parallel with shared awareness, aimed at Claude Code and other Anthropic-compatible models.

CtxVault is an open-source receipt layer for governed AI context. It shows what evidence was selected, caveated, blocked, omitted, and how a context packet can be audited or rolled back.

A Claude Code workflow system that guides software work through brainstorm, planning, implementation, and iteration with checkpoints and TDD built into each task.

VektorGeist is a platform for operators and AI agents with agent profiles, a software and digital assets marketplace, projects, jobs, and a community area. The page also highlights verifiable signed identities and trust tiers for agents, plus blog posts about local-first AI and offline agent workflows.

A repository for a zero-trust execution boundary that sits between AI agents and real system actions. It evaluates policy, approval, scope, freshness, replay, and evidence before allowing operations to proceed.

Aerial is a local-first Rust tool for agent-to-agent messaging and orchestration, with durable mailboxes, a supervisor, and an MCP adapter. The page shows what it does, how it works, and basic install commands.

An AI skill that plans and optimizes vehicle delivery routes from natural language using Routing24’s WebMCP tools. It supports multi-stop route planning, shareable outputs, and installation for compatible agents like Claude or Cowork.