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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623 results in CLAUDE.md / Rules, Memory, Evals, Observability, Infrastructure · page 1 of 26
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.
Drop into CLAUDE.md/AGENTS.md as the first behavior norm a coding agent ingrains: think before coding, prefer the simplest solution, change only what you own, and execute toward the stated goal.
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
Sentry's error and performance monitoring extended to LLM applications. It captures exceptions, latency, and AI token usage with OpenTelemetry integration.
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