--- title: "agno vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-reworkd-agentgpt" tools: ["agno-agi-agno", "reworkd-agentgpt"] --- # agno vs AgentGPT *GraphCanon updated Aug 19, 2026* ## Verdict Pick agno if use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions; pick AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a. [agno](https://docs.agno.com) reports 42k GitHub stars, 5.8k forks, and 1.3k open issues, last pushed Aug 19, 2026. [AgentGPT](https://agentgpt.reworkd.ai) has 36k stars, 9.3k forks, and 219 open issues, last pushed Apr 29, 2025. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [agno](/tools/agno-agi-agno.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | Assembler for autonomous AI Agents | | Stars | 41,785 | 36,304 | | Forks | 5,793 | 9,288 | | Open issues | 1,261 | 219 | | Language | Python | TypeScript | | Adopt for | Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. | AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 466d | | Archived on GitHub | No | Yes | | Open issues (now) | 1.3k | 219 | | Stars delta | +487 (30d) | Unknown | | Open issues delta | +264 (30d) | Unknown | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: agno - **Adopt for:** Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ## Decision facts: AgentGPT - **Adopt for:** AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects ## Choose when ### Choose agno if… - agno is primarily Python; AgentGPT is TypeScript. - License: agno is Apache-2.0, AgentGPT is GPL-3.0. - Tags unique to agno: agents, ai-agents, developer-tools, python. - Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; agno is Python. - License: AgentGPT is GPL-3.0, agno is Apache-2.0. - Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup. - AgentGPT ships Docker support for self-hosted deployment. - When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI ## When NOT to use agno - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use AgentGPT - Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box - Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ## Common questions ### What is the difference between agno and AgentGPT? agno: Build, run, and manage your own agent platform.. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over AgentGPT? Choose agno over AgentGPT when agno is primarily Python; AgentGPT is TypeScript; License: agno is Apache-2.0, AgentGPT is GPL-3.0; Tags unique to agno: agents, ai-agents, developer-tools, python; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### When should I choose AgentGPT over agno? Choose AgentGPT over agno when AgentGPT is primarily TypeScript; agno is Python; License: AgentGPT is GPL-3.0, agno is Apache-2.0; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI. ### When should I avoid agno? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid AgentGPT? Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ### Is agno or AgentGPT more popular on GitHub? agno has more GitHub stars (41,785 vs 36,304). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and AgentGPT open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, AgentGPT: GPL-3.0). ### Where can I find alternatives to agno or AgentGPT? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [AgentGPT markdown twin](/tools/reworkd-agentgpt/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agno-agi-agno-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or AgentGPT? agno: Very active. AgentGPT: Archived. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agno and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_