--- title: "agno vs RGB" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-chen700564-rgb" tools: ["agno-agi-agno", "chen700564-rgb"] --- # agno vs RGB *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 RGB if rGB is a Python package with no descriptive summary or topics, available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license. [agno](https://docs.agno.com) reports 42k GitHub stars, 5.8k forks, and 1.3k open issues, last pushed Aug 19, 2026. [RGB](https://github.com/chen700564/RGB) has 371 stars, 39 forks, and 17 open issues, last pushed May 17, 2024. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [RGB's repository](https://github.com/chen700564/RGB). | | [agno](/tools/agno-agi-agno.md) | [RGB](/tools/chen700564-rgb.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | RGB | | Stars | 41,785 | 371 | | Forks | 5,793 | 39 | | Open issues | 1,261 | 17 | | Language | Python | Python | | 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. | RGB is a Python package with no descriptive summary or topics, available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [RGB](/tools/chen700564-rgb.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 806d | | Open issues (now) | 1.3k | 17 | | Stars delta | +487 (30d) | Unknown | | Open issues delta | +264 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/chen700564-rgb/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: RGB - **Adopt for:** RGB is a Python package with no descriptive summary or topics, available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license. ## Choose when ### Choose agno if… - License: agno is Apache-2.0, RGB is Other. - Tags unique to agno: agents, ai-agents, developer-tools. - Also covers AI Agents. - 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 RGB if… - License: RGB is Other, agno is Apache-2.0. - When you need a tool licensed for non-commercial use only and willing to seek permissions for commercial scenarios. - Leaner open-issue backlog (17). ## 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 RGB - Avoid if your project requires commercial licensing without seeking additional permissions. ## Common questions ### What is the difference between agno and RGB? agno: Build, run, and manage your own agent platform.. RGB: RGB. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over RGB? Choose agno over RGB when License: agno is Apache-2.0, RGB is Other; Tags unique to agno: agents, ai-agents, developer-tools; Also covers AI Agents; 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 RGB over agno? Choose RGB over agno when License: RGB is Other, agno is Apache-2.0; When you need a tool licensed for non-commercial use only and willing to seek permissions for commercial scenarios; Leaner open-issue backlog (17). ### 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 RGB? Avoid if your project requires commercial licensing without seeking additional permissions. ### Is agno or RGB more popular on GitHub? agno has more GitHub stars (41,785 vs 371). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and RGB open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, RGB: Other). ### Where can I find alternatives to agno or RGB? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [RGB alternatives](/tools/chen700564-rgb/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [RGB markdown twin](/tools/chen700564-rgb/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-chen700564-rgb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or RGB? agno: Very active. RGB: Dormant. 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 RGB? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [RGB trust report](/tools/chen700564-rgb/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/_