--- title: "agno vs slurm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-schedmd-slurm" tools: ["agno-agi-agno", "schedmd-slurm"] --- # agno vs slurm *GraphCanon updated Jul 11, 2026* ## Verdict Pick agno when agno is primarily Python; slurm is C; pick slurm when slurm is primarily C; 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. [slurm](https://slurm.schedmd.com/) has 4.1k stars, 865 forks, and 13 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [slurm's repository](https://github.com/SchedMD/slurm). | | [agno](/tools/agno-agi-agno.md) | [slurm](/tools/schedmd-slurm.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | Slurm: A Highly Scalable Workload Manager | | Stars | 41,090 | 4,124 | | Forks | 5,627 | 865 | | Open issues | 1,009 | 13 | | Language | Python | C | | 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 | Other | | Categories | AI Agents, Developer Tools | Evaluation & Observability, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [slurm](/tools/schedmd-slurm.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 1.0k | 13 | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/schedmd-slurm/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; slurm is C. - License: agno is Apache-2.0, slurm is Other. - Tags unique to agno: agents, python, developer-tools, ai-agents. - 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 slurm if… - slurm is primarily C; agno is Python. - License: slurm is Other, agno is Apache-2.0. - Tags unique to slurm: slurm-workload-manager, slurm-job-scheduler, c++, slurm. - Also covers Evaluation & Observability. ## 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 slurm - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - 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 slurm? agno: Build, run, and manage your own agent platform.. slurm: Slurm: A Highly Scalable Workload Manager. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over slurm? Choose agno over slurm when agno is primarily Python; slurm is C; License: agno is Apache-2.0, slurm is Other; Tags unique to agno: agents, python, developer-tools, ai-agents; 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 slurm over agno? Choose slurm over agno when slurm is primarily C; agno is Python; License: slurm is Other, agno is Apache-2.0; Tags unique to slurm: slurm-workload-manager, slurm-job-scheduler, c++, slurm; Also covers Evaluation & Observability. ### 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 slurm? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is agno or slurm more popular on GitHub? agno has more GitHub stars (41,090 vs 4,124). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and slurm open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, slurm: Other). ### Where can I find alternatives to agno or slurm? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [slurm alternatives](/tools/schedmd-slurm/alternatives) ([agno markdown twin](/tools/agno-agi-agno/alternatives.md), [slurm markdown twin](/tools/schedmd-slurm/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-schedmd-slurm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or slurm? agno: Very active. slurm: Very active. 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 slurm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [slurm trust report](/tools/schedmd-slurm/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/_