#agentic-workflow

Eigent: The Open Source Cowork Desktop - Local and Free Alternative to Claude Cowork and Codex

An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

TUI for reviewing diffs, files, and documents with inline annotations

An AIOps platform that closes the loop from Kubernetes alert to automated remediation: An AI Agent investigates via MCP tools, selects a fix from a pre-seeded workflow catalog and delegates execution (K8s Job, Tekton, Ansible) — or escalates with a full RCA. Approval gates, OPA policies, and audit trails keep humans in control.

The open-source AI infrastructure stack for Swiss enterprises.

Your autonomous engineering team in a CLI. The agent loop produces senior-level code that you can actually trust in prod because of non-negotiable feedback from independent reviewers. Supports Claude Code, OpenAI Codex, OpenCode, and Gemini CLI with trivial setup.

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

Your Software Factory - build faster and better with multi node agents that work 24/7

Official SDKs, API clients, and CLI/MCP tools for Daytona, the secure and elastic infrastructure for running AI-generated code

The form framework for coding agents

Where people and agents build in tune.

Symbol Delta Ledger (SDL-MCP) is a policy-centered context budget layer for coding agents: Symbol-graph intelligence combined with precision tools. It turns sprawling codebases into compact, high-signal context that saves tokens, speeds up workflows, and improves agent output.

Lifecycle Management for Agent Skills

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

Template Driven Agent Orchestration Loops

CLI for streamlined spec-driven development

Kaboom AI DevTools — Browser DevTools for AI coding assistants via MCP

open-source CLI written in Go for translating apps, website and content with AI

open-source CLI written in Go for translating apps, website and content with AI