ZooGent is our open-source toolkit for building AI agents and assembling them into a working team. Design the team once, then run it on CrewAI, LangGraph, the OpenAI Agents SDK, or ZooGent's own runtime.
ZooGent is not another AI. It is the toolkit you build the team with. Each agent gets a role, the skills to do it, memory of what worked, and a way to hand work to the next agent. You describe the team; ZooGent turns it into running code.
A single chatbot forgets and works alone. ZooGent gives every agent four things, and that is what turns a pile of prompts into a team.
One agent hands work to another with clear instructions. Like a direct message between coworkers.
A shared board where agents post what they learn. Once approved, the whole team can see it and use it.
Each agent remembers what worked and what did not. A scoring system keeps useful memories close and lets the rest fade.
Instructions written by people and shipped with the agent. Read-only. This is what makes a cheap model do the job of an expensive one.
Frameworks come and go. ZooGent keeps your team design — roles, skills, flows — separate from the framework underneath. It runs on its own runtime today, and is built to be orchestrator-agnostic.
Self-hosted and cost-tuned. Skills, memory, team knowledge, tasks, and cost tracking built in. This is what every Devvela agent team ships on.
One of the most-used agent frameworks, built around roles and tasks. A target runtime, so a team you design in ZooGent is not tied to ours.
Graph-based orchestration with checkpointing. A target runtime for teams that need fine-grained control over state.
OpenAI's framework for agents, sessions, and handoffs. A target runtime, so your team design follows the ecosystem.
ZooGent is open source under the MIT license. You can read every line, self-host it, and use it for commercial work. We maintain it, and we build every Devvela agent team on it.
ZooGent is Devvela's open-source toolkit for building AI agents and assembling them into a working team. Each agent gets a role, the skills to do it, memory of what worked, and a way to pass work to the next agent. You describe the team; ZooGent turns it into running code.
Yes. ZooGent is open source under the MIT license. You can self-host it, read every line, and use it for commercial work. Devvela maintains it and builds client agent teams on it.
ZooGent keeps your team design separate from the framework that runs it. It runs on its own self-hosted runtime today, and is built to be orchestrator-agnostic, with CrewAI, LangGraph, and the OpenAI Agents SDK as the runtimes it targets, so a team is not locked to one framework.
ZooGent is a developer toolkit and agents are written in TypeScript. If your team does not build it in-house, Devvela designs and ships the agent team for you, usually with a first working version in about two weeks.
ZooGent is built for cost-efficiency: prompt caching, a cheap model by default with an escape to a stronger one only when needed, and selective context loading. Together these cut the running cost of an agent team several times over compared with a naive setup.
Tell us the workflow you want to automate. We design the agents, build the team, and run it. Most setups reach a first working version within two weeks.
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