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Discusses how top AI engineers earn $250K+ by building systems around models rather than training them, with a breakdown of key skills like memory systems, harnesses, loop engineering, and tracing.
演示如何通过一次API调用，使用Gemini Managed Agents结合远程MCP服务器和GitHub技能，构建一个自主的金融分析师，自动生成包含自定义SVG图表的幻灯片。
ActiveGraph shipped seven runtime releases (1.2.0 to 1.7.1) to harden its reference packs for autonomous agents, adding a safe fork-test-promote loop with subprocess isolation, manifest hashing, and complete event logging.
The Looped Agent Framework is an open-source tool for building and deploying single-purpose AI agents with a single config file, secure permissions, and Docker-native deployment.
A default-deny firewall daemon for local AI agents that intercepts every tool call, blocking dangerous actions and requesting user approval for ambiguous ones, with tamper-evident logging. Designed to mitigate prompt injection risks. Open source under MIT license.
LangChain launches OpenWiki Brains, a framework for proactive memory for AI agents that automatically builds and updates wikis from connected sources like Gmail, Notion, and git repos.
Hugging Face releases Tau, a simple terminal-based coding agent designed as a teaching tool to help developers learn how to build their own coding agents from scratch.
This article details how to deploy the Hermes AI Agent framework, including cloud server configuration, installation, Telegram Bot integration, image recognition and voice capability supplementation, as well as integration into the reverse security analysis workflow.
TigrimOSR v0.6.2 introduces Open Loop Engineering, allowing users to define custom agent loops via YAML profiles, integrates the Obscura Rust browser for web automation, and adds LINE/Telegram bot control. The release emphasizes transparency and user control over agent behavior.
Vercel's Guillermo Rauch announces Eve, a framework for building durable AI agents with GitHub integration, featuring sandboxing, human-in-the-loop, and open-source self-hosting.
This article provides a detailed breakdown of the Hermes Agent architecture, including the event bus, adapter layer, GatewayRunner core scheduler layer, etc., revealing the design pattern of the Agent as a stateful, event-driven runtime.
An SDK lets developers make AI agents proactive with a single line of code, enabling self-scheduled execution across multiple frameworks.
Swarm is a Swift framework for building agentic workflows and multi-agent systems, with type-safe tool calling, durable checkpointing, and support for multiple LLM providers.
A developer recounts building PRAANA, a proactive context curator for coding agents, detailing mistakes like broken semantic recall and missing measurement, and emphasizing the importance of honest tooling and measurement before optimization.
Mozaik is a TypeScript runtime for building self-organizing AI agents.
Simple Markdown Editor is a collaborative document platform where AI agents can work alongside humans in real-time, editing, commenting, and assigning tasks within a single markdown document.
This paper introduces ActiveGraph, a runtime that makes the append-only event log the central source of truth for agentic systems, enabling deterministic replay, cheap forking, and end-to-end lineage from goals to model calls.
Eve is a framework for building durable, production-ready AI agents with built-in observability, introspection, and self-improvement capabilities, designed to work seamlessly with Next.js and Vercel deployments.
fast-rlm is an open-source Python tool that allows LLMs to operate within an RLM harness for recursive subagent calls, with features like spend limits and live log streaming.
KDA (Kernel Design Agents) is an open-source agent-centric workflow from MIT HAN Lab for using coding agents to research, implement, verify, and iterate on performance-sensitive CUDA kernel tasks. It helped Databricks achieve rank #1 on NVIDIA's SOL-ExecBench leaderboard.