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Awesome List
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
GitHub stars and default-branch commits for ai-boost/awesome-harness-engineering.
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Universal memory layer for AI Agents
A programming framework for agentic AI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Build resilient agents.
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
A lightweight, powerful framework for multi-agent workflows
Mastra is the modern TypeScript framework for AI-powered applications and agents.
#1 Persistent memory for AI coding agents based on real-world benchmarks
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Hindsight: Agent Memory That Learns
AI Observability & Evaluation
Instant, Concurrent, Secure & Lightweight Sandbox for AI Agents.
Build effective agents using Model Context Protocol and simple workflow patterns
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
Next Generation Agentic Proxy for AI Agents and MCP servers
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
Skills, MCP servers, Custom Agents, Agents.md for SDKs to ground Coding Agents
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.
Human-in-the-Loop Protocol for Autonomous Agent Services — Open Standard (v0.8)