--- title: "agno vs coca" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-phodal-coca" tools: ["agno-agi-agno", "phodal-coca"] --- # agno vs coca *GraphCanon updated Jul 15, 2026* ## Verdict Pick agno when agno is primarily Python; coca is Go; pick coca when coca is primarily Go; agno is Python. [agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. [coca](https://coca.migration.ink/) has 989 stars, 117 forks, and 0 open issues, last pushed Jan 6, 2026. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [coca's repository](https://github.com/phodal/coca). | | [agno](/tools/agno-agi-agno.md) | [coca](/tools/phodal-coca.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | Coca is a toolbox which is design for legacy system refactoring and analysis, includes call graph, concept analysis, api tree, design patterns suggest. Coca 是一个用于系统重构、系统迁移和系统分析的工具箱。它可以分析代码中的测试坏味道、模块化分 | | Stars | 41,090 | 989 | | Forks | 5,627 | 117 | | Open issues | 1,009 | 0 | | Language | Python | Go | | 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. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MPL-2.0 | | 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) | [coca](/tools/phodal-coca.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 190d | | Open issues (now) | 1.0k | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/phodal-coca/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. ## Choose when ### Choose agno if… - agno is primarily Python; coca is Go. - License: agno is Apache-2.0, coca is MPL-2.0. - Tags unique to agno: agents, ai-agents, developer-tools, python. - 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 coca if… - coca is primarily Go; agno is Python. - License: coca is MPL-2.0, agno is Apache-2.0. - Tags unique to coca: ai, architecture, automation, git. ## 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 coca - Last GitHub push was 190 days ago (slowing maintenance, Jan 6, 2026). Validate activity before betting a new project on coca. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between agno and coca? agno: Build, run, and manage your own agent platform.. coca: Coca is a toolbox which is design for legacy system refactoring and analysis, includes call graph, concept analysis, api tree, design patterns suggest. Coca 是一个用于系统重构、系统迁移和系统分析的工具箱。它可以分析代码中的测试坏味道、模块化分. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over coca? Choose agno over coca when agno is primarily Python; coca is Go; License: agno is Apache-2.0, coca is MPL-2.0; Tags unique to agno: agents, ai-agents, developer-tools, python; 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 coca over agno? Choose coca over agno when coca is primarily Go; agno is Python; License: coca is MPL-2.0, agno is Apache-2.0; Tags unique to coca: ai, architecture, automation, git. ### 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 coca? Last GitHub push was 190 days ago (slowing maintenance, Jan 6, 2026). Validate activity before betting a new project on coca. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is agno or coca more popular on GitHub? agno has more GitHub stars (41,090 vs 989). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and coca open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, coca: MPL-2.0). ### Where can I find alternatives to agno or coca? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [coca alternatives](/tools/phodal-coca/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [coca markdown twin](/tools/phodal-coca/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-phodal-coca.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or coca? agno: Very active. coca: Slowing. 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 coca? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [coca trust report](/tools/phodal-coca/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/_