--- title: "simulate-sdk vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-simulate-sdk-vs-pguso-agents-from-scratch" tools: ["future-agi-simulate-sdk", "pguso-agents-from-scratch"] --- # simulate-sdk vs agents-from-scratch *GraphCanon updated Aug 12, 2026* ## Verdict Pick simulate-sdk if simulate-sdk is an Enterprise Grade Voice AI Simulation SDK specifically crafted for testing environments that focus on voice interactions with AI agents; pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. [simulate-sdk](https://app.futureagi.com) reports 59 GitHub stars, 5 forks, and 0 open issues, last pushed Jun 30, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 954 stars, 240 forks, and 3 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [simulate-sdk's repository](https://github.com/future-agi/simulate-sdk) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [simulate-sdk](/tools/future-agi-simulate-sdk.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | Enterprise Grade Voice AI Simulation SDK for Testing AI Agents | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 59 | 954 | | Forks | 5 | 240 | | Open issues | 0 | 3 | | Language | Python | Python | | Adopt for | simulate-sdk is an Enterprise Grade Voice AI Simulation SDK specifically crafted for testing environments that focus on voice interactions with AI agents. | agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | AI Agents, Evaluation & Observability | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [simulate-sdk](/tools/future-agi-simulate-sdk.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 34d | 18d | | Open issues (now) | 0 | 3 | | Owner type | Organization | User | | Full report | [trust report](/tools/future-agi-simulate-sdk/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) | ## Decision facts: simulate-sdk - **Adopt for:** simulate-sdk is an Enterprise Grade Voice AI Simulation SDK specifically crafted for testing environments that focus on voice interactions with AI agents. ## Decision facts: agents-from-scratch - **Requirements:** Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs. - **Adopt for:** agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. - **License detail:** MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. ## Choose when ### Choose simulate-sdk if… - License: simulate-sdk is Apache-2.0, agents-from-scratch is MIT. - Tags unique to simulate-sdk: agentic-ai, evaluation, simulate, testing-tools. - Also covers Evaluation & Observability. - When you need to test AI agents in realistic voice interaction scenarios, ensuring that the agent's responses are accurate and timely under various conditions. ### Choose agents-from-scratch if… - License: agents-from-scratch is MIT, simulate-sdk is Apache-2.0. - Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.. - Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm. - Also covers Developer Tools. - You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ## When NOT to use simulate-sdk - If your project does not involve AI-driven voice interactions, using simulate-sdk would be unnecessary as it specifically caters to voice-based testing scenarios. - For non-enterprise applications where the focus is on text-based interaction evaluations rather than voice-based ones, this SDK may offer excess capabilities that are not needed. ## When NOT to use agents-from-scratch - You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. - If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ## Common questions ### What is the difference between simulate-sdk and agents-from-scratch? simulate-sdk: Enterprise Grade Voice AI Simulation SDK for Testing AI Agents. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose simulate-sdk over agents-from-scratch? Choose simulate-sdk over agents-from-scratch when License: simulate-sdk is Apache-2.0, agents-from-scratch is MIT; Tags unique to simulate-sdk: agentic-ai, evaluation, simulate, testing-tools; Also covers Evaluation & Observability; When you need to test AI agents in realistic voice interaction scenarios, ensuring that the agent's responses are accurate and timely under various conditions. ### When should I choose agents-from-scratch over simulate-sdk? Choose agents-from-scratch over simulate-sdk when License: agents-from-scratch is MIT, simulate-sdk is Apache-2.0; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm; Also covers Developer Tools; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ### When should I avoid simulate-sdk? If your project does not involve AI-driven voice interactions, using simulate-sdk would be unnecessary as it specifically caters to voice-based testing scenarios. For non-enterprise applications where the focus is on text-based interaction evaluations rather than voice-based ones, this SDK may offer excess capabilities that are not needed. ### When should I avoid agents-from-scratch? You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ### Is simulate-sdk or agents-from-scratch more popular on GitHub? agents-from-scratch has more GitHub stars (954 vs 59). Stars measure visibility, not whether either tool fits your constraints. ### Are simulate-sdk and agents-from-scratch open source? Yes - both are open-source projects on GitHub (simulate-sdk: Apache-2.0, agents-from-scratch: MIT). ### Where can I find alternatives to simulate-sdk or agents-from-scratch? GraphCanon lists graph-backed alternatives at [simulate-sdk alternatives](/tools/future-agi-simulate-sdk/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([simulate-sdk markdown twin](/tools/future-agi-simulate-sdk/alternatives.md), [agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/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/future-agi-simulate-sdk-vs-pguso-agents-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, simulate-sdk or agents-from-scratch? simulate-sdk: Steady. agents-from-scratch: 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 simulate-sdk and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [simulate-sdk trust report](/tools/future-agi-simulate-sdk/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=future-agi-simulate-sdk`](/api/graphcanon/graph?tool=future-agi-simulate-sdk) - 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/_