--- title: "feast vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/feast-dev-feast-vs-reworkd-agentgpt" tools: ["feast-dev-feast", "reworkd-agentgpt"] --- # feast vs AgentGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick feast when feast is primarily Python; AgentGPT is TypeScript; pick AgentGPT when agentGPT is primarily TypeScript; feast is Python. [feast](https://feast.dev) reports 7.1k GitHub stars, 1.4k forks, and 389 open issues, last pushed Jul 10, 2026. [AgentGPT](https://agentgpt.reworkd.ai) has 36k stars, 9.3k forks, and 219 open issues, last pushed Apr 29, 2025. Figures are from public GitHub metadata via [feast's repository](https://github.com/feast-dev/feast) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [feast](/tools/feast-dev-feast.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | The Open Source Feature Store for AI/ML | Assembler for autonomous AI Agents | | Stars | 7,127 | 36,264 | | Forks | 1,360 | 9,303 | | Open issues | 389 | 219 | | Language | Python | TypeScript | | Adopt for | - | AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [feast](/tools/feast-dev-feast.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 1d | 438d | | Archived on GitHub | No | Yes | | Open issues (now) | 389 | 219 | | Security scan | 38 low (38 low) | No lockfile | | Full report | [trust report](/tools/feast-dev-feast/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: AgentGPT - **Adopt for:** AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects ## Choose when ### Choose feast if… - feast is primarily Python; AgentGPT is TypeScript. - License: feast is Apache-2.0, AgentGPT is GPL-3.0. - Tags unique to feast: data-science, ml, features, big-data. ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; feast is Python. - License: AgentGPT is GPL-3.0, feast is Apache-2.0. - Tags unique to AgentGPT: backend-development, autonomous, cli-setup, frontend-development. - Also covers AI Agents. - AgentGPT ships Docker support for self-hosted deployment. - When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI ## When NOT to use feast - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use AgentGPT - Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box - Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ## Common questions ### What is the difference between feast and AgentGPT? feast: The Open Source Feature Store for AI/ML. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose feast over AgentGPT? Choose feast over AgentGPT when feast is primarily Python; AgentGPT is TypeScript; License: feast is Apache-2.0, AgentGPT is GPL-3.0; Tags unique to feast: data-science, ml, features, big-data. ### When should I choose AgentGPT over feast? Choose AgentGPT over feast when AgentGPT is primarily TypeScript; feast is Python; License: AgentGPT is GPL-3.0, feast is Apache-2.0; Tags unique to AgentGPT: backend-development, autonomous, cli-setup, frontend-development; Also covers AI Agents; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI. ### When should I avoid feast? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid AgentGPT? Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ### Is feast or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,264 vs 7,127). Stars measure visibility, not whether either tool fits your constraints. ### Are feast and AgentGPT open source? Yes - both are open-source projects on GitHub (feast: Apache-2.0, AgentGPT: GPL-3.0). ### Where can I find alternatives to feast or AgentGPT? GraphCanon lists graph-backed alternatives at [feast alternatives](/tools/feast-dev-feast/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([feast markdown twin](/tools/feast-dev-feast/alternatives.md), [AgentGPT markdown twin](/tools/reworkd-agentgpt/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/feast-dev-feast-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, feast or AgentGPT? feast: Very active. AgentGPT: Archived. 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 feast and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [feast trust report](/tools/feast-dev-feast/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=feast-dev-feast`](/api/graphcanon/graph?tool=feast-dev-feast) - 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/_