Agents Towards Production alternatives for AI agents.

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

Universal memory layer for AI Agents

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

Open-source AI coworker, with memory

12 Lessons to Get Started Building AI Agents

The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data.

The first AI agent that builds permissionless integrations through reverse engineering platforms' internal APIs.

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

Deploy serverless AI workflows at scale. Firebase for AI agents

Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.

Let Skills Evolve Collectively with Agentic Evolver

Bub it. Build it. A hook-first runtime for agents that live alongside people.