--- title: "agno vs DeepSeek-Coder" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-deepseek-ai-deepseek-coder" tools: ["agno-agi-agno", "deepseek-ai-deepseek-coder"] --- # agno vs DeepSeek-Coder *GraphCanon updated Jul 11, 2026* ## Verdict Pick agno when license: agno is Apache-2.0, DeepSeek-Coder is MIT; pick DeepSeek-Coder when license: DeepSeek-Coder is MIT, agno is Apache-2.0. [agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. [DeepSeek-Coder](https://chat.deepseek.com/) has 24k stars, 2.9k forks, and 166 open issues, last pushed Nov 11, 2025. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [DeepSeek-Coder's repository](https://github.com/deepseek-ai/DeepSeek-Coder). | | [agno](/tools/agno-agi-agno.md) | [DeepSeek-Coder](/tools/deepseek-ai-deepseek-coder.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | DeepSeek Coder: Let the Code Write Itself | | Stars | 41,090 | 23,865 | | Forks | 5,627 | 2,881 | | Open issues | 1,009 | 166 | | 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. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | 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) | [DeepSeek-Coder](/tools/deepseek-ai-deepseek-coder.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 242d | | Open issues (now) | 1.0k | 166 | | Security scan | No lockfile | 71 low (71 low) | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/deepseek-ai-deepseek-coder/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… - License: agno is Apache-2.0, DeepSeek-Coder is MIT. - 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 DeepSeek-Coder if… - License: DeepSeek-Coder is MIT, agno is Apache-2.0. - Leaner open-issue backlog (166). ## 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 DeepSeek-Coder - Last GitHub push was 243 days ago (slowing maintenance, Nov 11, 2025). Validate activity before betting a new project on DeepSeek-Coder. - 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 DeepSeek-Coder? agno: Build, run, and manage your own agent platform.. DeepSeek-Coder: DeepSeek Coder: Let the Code Write Itself. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over DeepSeek-Coder? Choose agno over DeepSeek-Coder when License: agno is Apache-2.0, DeepSeek-Coder is MIT; 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 DeepSeek-Coder over agno? Choose DeepSeek-Coder over agno when License: DeepSeek-Coder is MIT, agno is Apache-2.0; Leaner open-issue backlog (166). ### 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 DeepSeek-Coder? Last GitHub push was 243 days ago (slowing maintenance, Nov 11, 2025). Validate activity before betting a new project on DeepSeek-Coder. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is agno or DeepSeek-Coder more popular on GitHub? agno has more GitHub stars (41,090 vs 23,865). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and DeepSeek-Coder open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, DeepSeek-Coder: MIT). ### Where can I find alternatives to agno or DeepSeek-Coder? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [DeepSeek-Coder alternatives](/tools/deepseek-ai-deepseek-coder/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [DeepSeek-Coder markdown twin](/tools/deepseek-ai-deepseek-coder/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-deepseek-ai-deepseek-coder.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or DeepSeek-Coder? agno: Very active. DeepSeek-Coder: 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 DeepSeek-Coder? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [DeepSeek-Coder trust report](/tools/deepseek-ai-deepseek-coder/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/_