browser-use
Python library that makes web browsers accessible to AI agents; built on Playwright and LangChain. Supports multi-tab, vision + accessibility-tree hybrid mode, custom actions, and a self-correcting agent loop.
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1,024 results in Identity, Infrastructure, Sub-Agents, Memory, Evals, Hooks · page 1 of 43
Python library that makes web browsers accessible to AI agents; built on Playwright and LangChain. Supports multi-tab, vision + accessibility-tree hybrid mode, custom actions, and a self-correcting agent loop.
Secure and elastic sandboxes for running AI-generated code. The public repository stopped updating in June 2026, when development moved to a private codebase.
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Contributed by Sentinel
Use as the default runtime when an agent must execute untrusted code or commands. Firecracker microVMs with ~150ms cold start give each run an isolated, disposable computer.
Never stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributors
Contributed by Sentinel
Use as the payments rail when an agent should earn or spend money in code (create customers, prices, payment links, and usage-based billing): the infrastructure behind an agent that funds its own compute.
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.
Contributed by Sentinel
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.