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Ratel: Context engineering for AI 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 Ratel. This is an automatic list. We have not written a researched verdict for Ratel 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.
The production-ready agent harness framework for Python
Water is an open source Python framework that the author describes as an agent harness rather than another agent framework. It does not supply the agents. It supplies the infrastructure around them: orchestration, retries and resilience, observability, approval gates, sandboxing and deployment tooling, so developers ca...
The open-source TypeScript SDK for running AI coding agents in sandboxes.
AgentBox is an open source TypeScript SDK from Twill for running AI coding agents inside sandboxes through one unified API. Instead of calling an agent command line tool in non interactive mode, it launches each agent as a server process inside the sandbox and talks to it over WebSocket or HTTP, which preserves approva...
agentevals is a framework-agnostic evaluations solution based on OpenTelemetry traces
AgentEvals is an open source tool for benchmarking AI agents by scoring their behaviour from OpenTelemetry traces. Rather than replaying expensive LLM calls or re executing an agent, it parses OTLP streams and Jaeger JSON traces captured from production or test runs and evaluates what the agent actually did, so teams c...
AI agents on autopilot.
AgentUse is an open source agent runtime for recurring work. Agents are defined as plain Markdown files, with model settings and capabilities in YAML frontmatter and the instructions written in natural language, and AgentUse supplies the operating layer around them: the agent loop, tools, durable sessions, schedules, a...
Find your agents errors be fore your real users do
ArkSim is an open source agent testing framework from Arklex that simulates realistic multi turn conversations with an AI agent and scores the results. It helps developers find failures that only appear across several turns, such as losing context, calling the wrong tool or contradicting an earlier answer, before real ...
Build production-ready AI agents in both Python and Typescript.
BeeAI Framework is an open source framework for building production grade systems of multiple cooperating AI agents in Python or TypeScript. It is hosted by the Linux Foundation under open governance and focuses on reliability: rather than relying on prompting alone, it lets developers enforce deterministic rules on ag...