--- title: "simulate-sdk vs MiroFish-Offline" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/future-agi-simulate-sdk-vs-nikmcfly-mirofish-offline" tools: ["future-agi-simulate-sdk", "nikmcfly-mirofish-offline"] --- # simulate-sdk vs MiroFish-Offline *GraphCanon updated Aug 14, 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 MiroFish-Offline if miroFish-Offline is an offline simulation and prediction engine for multi-agent systems that uses Neo4j and Ollama framework locally. [simulate-sdk](https://app.futureagi.com) reports 59 GitHub stars, 5 forks, and 0 open issues, last pushed Jun 30, 2026. [MiroFish-Offline](https://x.com/nikmcfly69/status/2033147482331390328) has 2.5k stars, 653 forks, and 50 open issues, last pushed Mar 24, 2026. Figures are from public GitHub metadata via [simulate-sdk's repository](https://github.com/future-agi/simulate-sdk) and [MiroFish-Offline's repository](https://github.com/nikmcfly/MiroFish-Offline). | | [simulate-sdk](/tools/future-agi-simulate-sdk.md) | [MiroFish-Offline](/tools/nikmcfly-mirofish-offline.md) | | --- | --- | --- | | Tagline | Enterprise Grade Voice AI Simulation SDK for Testing AI Agents | Offline multi-agent simulation and prediction engine with Neo4j and Ollama local stack | | Stars | 59 | 2,468 | | Forks | 5 | 653 | | Open issues | 0 | 50 | | 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. | MiroFish-Offline is an offline simulation and prediction engine for multi-agent systems that uses Neo4j and Ollama framework locally. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | AGPL-3.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [simulate-sdk](/tools/future-agi-simulate-sdk.md) | [MiroFish-Offline](/tools/nikmcfly-mirofish-offline.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 34d | 142d | | Open issues (now) | 0 | 50 | | Owner type | Organization | User | | Full report | [trust report](/tools/future-agi-simulate-sdk/trust.md) | [trust report](/tools/nikmcfly-mirofish-offline/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: MiroFish-Offline - **Requirements:** Min 16 GB RAM; Requires Docker - **Adopt for:** MiroFish-Offline is an offline simulation and prediction engine for multi-agent systems that uses Neo4j and Ollama framework locally. ## Choose when ### Choose simulate-sdk if… - License: simulate-sdk is Apache-2.0, MiroFish-Offline is AGPL-3.0. - Tags unique to simulate-sdk: agentic-ai, evaluation, simulate, testing-tools. - 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 MiroFish-Offline if… - License: MiroFish-Offline is AGPL-3.0, simulate-sdk is Apache-2.0. - Requirements: Min 16 GB RAM; Requires Docker. - Tags unique to MiroFish-Offline: ai, multi-agent, neo4j, offline. - MiroFish-Offline ships Docker support for self-hosted deployment. - Use MiroFish-Offline when you require simulations in an offline environment to predict behaviors of multi-agent systems with local data storage options using Neo4j. ## 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 MiroFish-Offline - Avoid MiroFish-Offline if real-time agent interactions are necessary as this tool operates in an offline setup. - Do not use it when your hardware limitations fall below the recommended specifications, such as less than 32 GB RAM and less than 8 cores CPU, especially for efficient LLM inference tasks. ## Common questions ### What is the difference between simulate-sdk and MiroFish-Offline? simulate-sdk: Enterprise Grade Voice AI Simulation SDK for Testing AI Agents. MiroFish-Offline: Offline multi-agent simulation and prediction engine with Neo4j and Ollama local stack. See the comparison table for live GitHub stats and shared categories. ### When should I choose simulate-sdk over MiroFish-Offline? Choose simulate-sdk over MiroFish-Offline when License: simulate-sdk is Apache-2.0, MiroFish-Offline is AGPL-3.0; Tags unique to simulate-sdk: agentic-ai, evaluation, simulate, testing-tools; 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 MiroFish-Offline over simulate-sdk? Choose MiroFish-Offline over simulate-sdk when License: MiroFish-Offline is AGPL-3.0, simulate-sdk is Apache-2.0; Requirements: Min 16 GB RAM; Requires Docker; Tags unique to MiroFish-Offline: ai, multi-agent, neo4j, offline; MiroFish-Offline ships Docker support for self-hosted deployment; Use MiroFish-Offline when you require simulations in an offline environment to predict behaviors of multi-agent systems with local data storage options using Neo4j. ### 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 MiroFish-Offline? Avoid MiroFish-Offline if real-time agent interactions are necessary as this tool operates in an offline setup. Do not use it when your hardware limitations fall below the recommended specifications, such as less than 32 GB RAM and less than 8 cores CPU, especially for efficient LLM inference tasks. ### Is simulate-sdk or MiroFish-Offline more popular on GitHub? MiroFish-Offline has more GitHub stars (2,468 vs 59). Stars measure visibility, not whether either tool fits your constraints. ### Are simulate-sdk and MiroFish-Offline open source? Yes - both are open-source projects on GitHub (simulate-sdk: Apache-2.0, MiroFish-Offline: AGPL-3.0). ### Where can I find alternatives to simulate-sdk or MiroFish-Offline? GraphCanon lists graph-backed alternatives at [simulate-sdk alternatives](/tools/future-agi-simulate-sdk/alternatives) and [MiroFish-Offline alternatives](/tools/nikmcfly-mirofish-offline/alternatives) ([simulate-sdk markdown twin](/tools/future-agi-simulate-sdk/alternatives.md), [MiroFish-Offline markdown twin](/tools/nikmcfly-mirofish-offline/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-nikmcfly-mirofish-offline.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, simulate-sdk or MiroFish-Offline? simulate-sdk: Steady. MiroFish-Offline: 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 simulate-sdk and MiroFish-Offline? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [simulate-sdk trust report](/tools/future-agi-simulate-sdk/trust); [MiroFish-Offline trust report](/tools/nikmcfly-mirofish-offline/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/_