agentic-development-environment
Projects tagged with agentic-development-environment on GitHub.
43 projects
kandev
GoAI Kanban & Development Environment. Orchestrate multiple agents, review changes, open PRs. Multi-provider, self-hostable, no telemetry.
superpowers
ShellAn agentic skills framework & software development methodology that works.
agentic-inbox
TypeScriptA self-hosted email client with an AI agent, running entirely on Cloudflare Workers
evonic
PythonOpen Agentic AI Platform - The home your agents deserve
Endoplexity
TypeScriptAgentic browser control driven by your own Claude / Cursor subscriptions
dify
TypeScriptBuild Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
claude-code
PythonClaude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
postiz-app
TypeScript📨 The ultimate agentic social media scheduling tool 🤖
rome
TypeScriptRome is the agentic OS.
agent-as-a-router
TypeScriptThe official implementations of Agent-as-a-Router: Agentic Model Routing for Coding Tasks.
autoprompt-skill
JavaScriptAutoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.
portaljs
TypeScript🌀 AI-native framework for building data portals. Scaffold a full portal from a brief and load datasets in minutes with agentic skills — any backend (CKAN, GitHub, Frictionless).
AutoGPT
PythonAutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
loop-engineering
TypeScriptPractical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.
agent-apprenticeship
PythonThe living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
FrontierAgent
Python🧩 FrontierAgent, our agent framework, open-sourced alongside it — native command-line TUI, ReAct and Agent Team modes, one command on macOS and Linux, no preinstall, no hard Docker dependency.
northcinder
JavaScriptOpen-source MCP server for comparing products and asking the buyer before purchase.
fablize
PythonA Claude Code plugin that makes Opus behave like Fable — completion, evidence, and verification enforced as procedure. Ships only what a Fable-vs-Opus comparison proved transferable.
klaatcode
TypeScriptOpen-source AI coding agent for the terminal. Claude Code-grade accuracy with smart model routing — uses the right AI model for each task, cutting costs 10x. Supports Claude, GPT, Gemini, DeepSeek & more.
skills
PythonFinancial market data consumption skills for claude code and AI agents
cynative
GoBuild your own security agents. Open-source framework for agents with live, read-only access to your infrastructure, with no path to widen it. Reasons across AWS, GCP, Azure, Kubernetes, GitHub and GitLab as one system.
blitzos
TypeScriptOpen-source AI Operating System for your company
factory
ShellA reference software factory for Claude Code and Codex
TrueDeck
TypeScriptFree multi-agent coding workbench: Grok/Codex/Claude/Cursor panes + TrueMemory (per-repo + global)
optim-plans
PythonHuman-in-the-loop planning plugin for Claude and Codex: turn ideas into reviewed Markdown plans, record decisions, enforce explicit execution gates, and provide tested controller primitives for safer agent workflows.
trueforge
TypeScriptThe open-source agent harness - the runtime layer that turns an LLM into a working agent.
loopy
JavaScriptA library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.
loop-library
JavaScriptA library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.
tokenspeed
PythonTokenSpeed is a speed-of-light LLM inference engine.
OpenChatCut
TypeScriptOpen-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering.
looper
PythonDesign visual, review-gated agent loops for Claude Code before you run them.
harness-engineering
Python🐎 Ryan Lopopolo’s anthology, field guide, and agent context bundle for harness engineering
labs-OO-Agents
PythonNVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
ratel
TypeScriptContext engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
world-model-optimizer
PythonAn open source model gateway that provides one control plane across closed, open-source, local, and custom models.
open-edit
TypeScriptOpen-source, agent-driven editing pipeline: create subtitles, motion graphics, slides, edit and render videos.
CodeJury
PythonTerminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.
ORG2
TypeScriptSystem of record for how agents build software: Built-in rust harness & 20+ CLIs.
AgentENV
RustAgentENV (AENV) is a distributed platform for running agent environments at scale.
cc-switch
RustA cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io
Flowise
TypeScriptBuild AI Agents, Visually
ragflow
GoRAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
agent-apprenticeship
PythonThe living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.