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Activegraph: Event-sourced graph runtime for durable and stateful agents. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Activegraph. This is an automatic list. We have not written a researched verdict for Activegraph yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Connect your users to their apps
Corsair is an open source integration layer that lets AI products connect to the apps their users rely on without building and maintaining each integration in house. It handles OAuth, token refresh, webhook verification, rate limits, API changes and credential isolation per tenant, so an AI agent can read from and act ...
Agent framework for the JVM.
Embabel is an agentic AI framework for the Java Virtual Machine. It is written in Kotlin with a usage model intended to feel natural from Java, and its argument is that the qualities which matter once AI becomes mission critical, namely context handling, reliability, type safety, performance, observability and integrat...
The foundation layer for agentic intelligence.
This is an open source Python framework for building AI agents and running them in production, published by its vendor under the name Promptise. It installs as a single package and is organized into three layers: an agent that plans a task, calls tools and checks its own output; an interface layer that connects the age...
Build an agent harness and control it end-to-end.
Strands Agents is an open source toolkit for building production AI agents in Python and TypeScript. The registry lists it under the name Harness SDK, which corresponds to the agent harness and SDK that Strands publishes at strandsagents.com. At its core is a standard Agent class, with a harness layer that returns a pl...
Universal memory layer for AI Agents.
MemMachine is an open source memory layer for AI agents. It lets applications store, recall and learn from data and preferences gathered in past sessions, so assistants can respond with context instead of starting every conversation from zero. The memory persists across sessions, agents and language models, and builds ...
A playground for neuro-san
Neuro San is an open source, data driven library from Cognizant for building multi agent systems. Agent networks are defined in HOCON configuration files with minimal orchestration code, which the vendor says allows fast iteration and modular deployment across tools, models and infrastructure. It is the open source lib...