844 results in Workflows, Infrastructure, Memory, Observability · page 2 of 36
MemoryExperimental
tencentcloud-tencentdb-agent-memory
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
Open-source agent platform that automates browser-based workflows using LLMs and computer vision. It identifies interactive elements via screenshots, handles CAPTCHAs, and supports complex multi-step form flows.
Use when an agent must operate the live web (navigate, act, and extract on real pages) via a cloud browser driven by act/extract/observe primitives, with a local-Chromium escape hatch using the same code.
Offers comprehensive development guides for three distinct AI-powered demo projects with standardized workflows, strict code style guidelines, and containerization instructions.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Opik by Comet is an open-source LLM evaluation and tracing platform: log traces, run automated evals, create datasets, and track prompt improvements over time.
Gradio web UI on top of the browser-use framework. It lets users run AI browser agents interactively, configure LLM providers, watch live recordings, and replay task sessions without writing Python.
trycua/cua open-source computer-use agent framework: Apple Silicon-native, runs lightweight macOS/Linux VMs with sub-second cold starts; provides a unified Python interface for screen capture, click, and type actions.
Use to let a hosted agent reach a private-data MCP server behind your firewall (an outbound tunnel plus a proxy, with per-server OAuth) so internal tools are usable without exposing them to the public internet.
All parts of Claude Code's system prompt, including builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, Bash cmd, security review, agent creation, etc.). Updated for each Claude Code version.
Open-source Chrome extension that runs a multi-agent browser automation system locally. Planner, Navigator, and Validator agents collaborate inside the browser with no external API calls for web tasks.
Open-source AI gateway providing a unified API across 100+ LLM providers with built-in observability, request logging, fallbacks, caching, and load balancing.
Browserless.io headless browser service. It provides a Docker-deployable or cloud-hosted Chrome endpoint with REST and WebSocket APIs for screenshot, PDF, scraping, and Puppeteer/Playwright remote sessions.
Bytebot open-source computer-use agent: a Docker-based Ubuntu desktop with AI-controlled mouse and keyboard; exposes an HTTP API for agents to send click, type, screenshot, and macro commands.
An approach to working with Skills that uses hooks to make Claude select and activate the right Skill for the current context. Documented, and adaptable to other projects and workflows.