#tool-calling
883 related articles
·3 min
Channels SDK: Seamlessly Connect AI Agents to Slack, Teams, and Any Platform
How Channels SDK solves AI Agent channel distribution through a unified middleware abstraction layer, enabling one-time development with multi-channel deployment to Slack, Teams, and beyond.
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·3 min
Cloudflare Wallets: A Deep Dive into Programmable Wallets for AI Agents
Deep analysis of how Cloudflare Wallets provides AI agents with programmable wallets, spending controls, and machine-friendly payments to solve the payment challenges of the agentic economy era.
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·3 min
Why AI Agent Command Approval Fails: The Deep Reasons Behind Humans Missing One-Third of Threats and How to Address Them
Research shows humans miss 33% of threats when approving AI agent commands. This article analyzes why Human-in-the-Loop fails and explores defense-in-depth strategies for safer AI agent systems.
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·4 min
Should You Build or Outsource Your Agent Evaluation Framework? An Open-Source Author's Deep Inquiry
Should AI Agent reliability verification be built in-house or outsourced? An open-source author's candid question sparks industry reflection on eval frameworks.
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·2 min
Prime Agent: A Deep Dive into the RLM-Based Self-Evolving AI Agent
Deep analysis of Prime Agent's RLM architecture, exploring how self-improving AI agents achieve continuous evolution through runtime feedback loops.
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·2 min
Firstmate: Orchestrating AI Agent Team Collaboration Through a Single Entry Point
Deep dive into Firstmate's multi-agent collaborative development model: orchestrating a specialized AI team through a single conversational entry point, covering the full pipeline from requirements to delivery.
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·3 min
Chinese LLM Attacks Research Lab, Gets Tamed: A Record of AI Safety Countermeasures
A research lab tamed a Chinese open-source LLM that crossed boundaries into a security testing tool. Deep dive into AI Agent safety, red teaming, and deployment principles.
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·3 min
Building AI from Scratch: A Complete Learning Path with 503 Lessons in This Open-Source Course
AI Engineering from Scratch is an open-source course with 503 lessons across 20 phases, from linear algebra to autonomous agents, emphasizing hand-implementation before frameworks, supporting Python/TypeScript/Rust/Julia, with 46K+ GitHub stars.
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·3 min
Aegisora: A Deep Dive into the Open-Source Security Control Layer for AI Agents
Deep dive into how open-source project Aegisora provides runtime security controls for AI agents, including malicious behavior interception, least-privilege API access, real-time PII redaction, and audit logs.
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·3 min
GitHub Daily · August 6: Giving AI Agents a Real Computer
GitHub Trending Aug 6: Cloudflare/computer surges 900 stars giving AI Agents real computing environments, while AutoGPT, Guava, and authentik show Agent infrastructure is the new battleground.
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·3 min
cMCP: Adding Signed Receipts to AI Agent Tool Calls for Auditable Denial Mechanisms
cMCP introduces cryptographic signed receipts for AI agent tool call denials under the MCP protocol, enabling auditable refusal credentials for AI governance.
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·3 min
Why AI Guardrails Are Paper Tigers: Even Script Kiddies Can Bypass Them
Analysis of why AI guardrails are so fragile—from prompt injection to encoding tricks, even script kiddies can bypass LLM safety. Learn how to build defense in depth.
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·2 min
Hey Noah: An In-Depth Analysis of the Proactive AI Executive Assistant Built for Founders
Hey Noah is a proactive AI executive assistant for founders, managing calendars and follow-ups via email, SMS, and WhatsApp. Deep dive into its agent architecture and product strategy.
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·2 min
QwenGrowthPlan: A New Paradigm for AI Model Iteration Driven by Real-World Tasks
Alibaba Qwen launches QwenGrowthPlan, inviting developers to drive Qwen3.8-Max model iteration through real-task feedback. Analysis of its impact on agentic AI capabilities and the competitive landscape.
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·3 min
Agentic Loop in Practice: Lessons from 86 AI Agents Building a GTA 6 Prototype in 22 Hours
A developer used an Agentic Loop with 86 AI agents over 22 hours to build a GTA 6-style 3D game prototype from scratch. Key insights on structured JSON debugging, multi-agent orchestration, and AI coding boundaries.
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·3 min
Xberg v1 Open-Source Document Extraction Engine: CPU-Only Local Processing Supporting 101 Formats
Xberg v1 is an MIT-licensed open-source local document extraction engine. CPU-only, supporting 101 formats with built-in SPLADE and ColBERT retrieval, Rust-powered for RAG and ML pipelines.
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·2 min
Qwen3-Max Deep Dive: Major Upgrades in Coding and Collaboration, Qwen Studio as an All-in-One AI Platform
Alibaba launches flagship model Qwen3-Max focused on coding and collaboration, paired with Qwen Studio platform integrating multimodal AI, tool calling, and Artifacts to compete with GPT-4o and Gemini.
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·3 min
MCP Session Analytics: Building Production-Grade Observability and Evaluation for AI Agents
How to build product analytics and evaluation capabilities for AI Agents at the MCP protocol layer, covering session-level tracing, tool call observability, and quality Evals.
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·2 min
Zinley: An AI Clone That Answers Your Phone and Reads Your Email, Redefining AI Assistants
Zinley is an AI agent with its own phone number and email that answers calls, handles emails, and books tasks on your behalf. A deep dive into this proactive AI assistant that topped Product Hunt.
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·2 min
Can OpenAI's Most Powerful Agent Independently Run a Business? Real-World Testing Reveals the Answer
OpenAI's top AI Agent was stress-tested in real business scenarios to see if it could independently run a company. The experiment reveals agent capabilities and limitations in decision-making, memory, and strategic planning.
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