Awesome Agents

The open-source app everyone uses to manage agents at work

Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

Hindsight: Agent Memory That Learns

Fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

Open source AI coding agent. Designed for large projects and real world tasks.

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

Build, run and scale AI agents like API and microservices

✨ Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.

An operating system for AI agents. Plug in the agent CLIs you already use (Claude Code, Codex, Gemini CLI, Cursor) and they become a team: they split the work, hand tasks to each other, run automated on jobs and loops, and share one project memory. You steer everything from the browser.

The AI Agent Workforce Platform. Run a hundred AI coding agents across your own machines — schedule, isolate, and steer them all from one console.

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.

The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.

Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

modus: a framework for building agentic flows powered by WebAssembly

Container-free, deny-by-default sandbox for AI coding agents. Kernel-enforced filesystem, network, and syscall isolation for Linux and macOS

(S)AGE - (Sovereign) Agent Governed Experience

Deep research for your infra. Cynative runs frontier models across your code, cloud and runtime - reasoning through GitHub, GitLab, AWS, GCP, Azure and Kubernetes as one system - and comes back with verified answers.

Pilot Protocol: The Internet of Agents

World's first fully integrated and fully Automated Kubernetes management and orchestration solution

Pilot Protocol: The Internet of Agents

A context-aware terminal-based coding agent written in Go. Supports multiple-providers, MCPs, Subagents, Agent Skills, controllable tool output retention, hashline edits, and more.

Durable execution framework for AI agents in Go. Keeps agent state, tool calls, and execution loops resilient across process crashes.