---
title: "future-agi vs agent-framework"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/future-agi-future-agi-vs-microsoft-agent-framework"
tools: ["future-agi-future-agi", "microsoft-agent-framework"]
---

# future-agi vs agent-framework

*GraphCanon updated Aug 11, 2026*

## Verdict

Pick future-agi if future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails; pick agent-framework if the agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.

[future-agi](https://futureagi.com) reports 1.6k GitHub stars, 449 forks, and 596 open issues, last pushed Aug 1, 2026. [agent-framework](https://aka.ms/agent-framework) has 13k stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. Figures are from public GitHub metadata via [future-agi's repository](https://github.com/future-agi/future-agi) and [agent-framework's repository](https://github.com/microsoft/agent-framework).

| | [future-agi](/tools/future-agi-future-agi.md) | [agent-framework](/tools/microsoft-agent-framework.md) |
| --- | --- | --- |
| Tagline | End-to-end platform for evaluating, observing, and improving LLM and AI agent applications | Framework for building and deploying AI agents and multi-agent workflows |
| Stars | 1,559 | 12,718 |
| Forks | 449 | 2,143 |
| Open issues | 596 | 685 |
| Language | Python | Python |
| Adopt for | Future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails. | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | MIT |
| Categories | AI Agents, Evaluation & Observability | AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [future-agi](/tools/future-agi-future-agi.md) | [agent-framework](/tools/microsoft-agent-framework.md) |
| --- | --- | --- |
| Days since push | 1d | 0d |
| Open issues (now) | 596 | 685 |
| Full report | [trust report](/tools/future-agi-future-agi/trust.md) | [trust report](/tools/microsoft-agent-framework/trust.md) |

## Decision facts: future-agi

- **Pricing:** freemium - Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels.
- **Requirements:** Min 4 GB RAM; Requires Docker
- **Adopt for:** Future-AGI is an open-source toolkit for evaluating and improving LLMs and AI agents. It includes features like tracing, evaluations, simulations, datasets, gateway operations, and guardrails.

## Decision facts: agent-framework

- **Requirements:** Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.
- **Adopt for:** The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments.

## Choose when

### Choose future-agi if…

- License: future-agi is Apache-2.0, agent-framework is MIT.
- Pricing: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels..
- Requirements: Min 4 GB RAM; Requires Docker.
- Tags unique to future-agi: ai-gateway, docker-compose, evals, llm.
- Also covers Evaluation & Observability.
- future-agi ships Docker support for self-hosted deployment.
- - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds.

### Choose agent-framework if…

- License: agent-framework is MIT, future-agi is Apache-2.0.
- Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages..
- Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent.
- Also covers Developer Tools.
- Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.

## When NOT to use future-agi

- - Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available.
- - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'.

## When NOT to use agent-framework

- Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively.
- Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.

## Common questions

### What is the difference between future-agi and agent-framework?

future-agi: End-to-end platform for evaluating, observing, and improving LLM and AI agent applications. agent-framework: Framework for building and deploying AI agents and multi-agent workflows. See the comparison table for live GitHub stats and shared categories.

### When should I choose future-agi over agent-framework?

Choose future-agi over agent-framework when License: future-agi is Apache-2.0, agent-framework is MIT; Pricing: Future-AGI is open-source under the Apache 2.0 license, allowing for free use but with potential paid services through deployment and support channels.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to future-agi: ai-gateway, docker-compose, evals, llm; Also covers Evaluation & Observability; future-agi ships Docker support for self-hosted deployment; - Use Future-AGI when you require an end-to-end evaluation platform that supports self-hosting through Docker Compose or VM-based services on public clouds.

### When should I choose agent-framework over future-agi?

Choose agent-framework over future-agi when License: agent-framework is MIT, future-agi is Apache-2.0; Requirements: Python version 3.6 or newer is required for Python installations.; The .NET Core SDK must be installed for utilizing the .NET packages.; Tags unique to agent-framework: agent-framework, agentic-ai, agents, multi-agent; Also covers Developer Tools; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems.

### When should I avoid future-agi?

- Avoid using Future-AGI if you require Kubernetes or Helm support as of the current state; though these are planned for future release, they are not yet available. - If your deployment strategy relies on a managed service like AWS Marketplace, consider other options since it is currently 'Coming Soon'.

### When should I avoid agent-framework?

Avoid using the agent-framework if your team does not have proficiency in either Python or.NET, as this may cause difficulties in leveraging its features effectively. Do not opt for agent-framework if you only need lightweight support for AI agents without a comprehensive orchestration and deployment framework.

### Is future-agi or agent-framework more popular on GitHub?

agent-framework has more GitHub stars (12,718 vs 1,559). Stars measure visibility, not whether either tool fits your constraints.

### Are future-agi and agent-framework open source?

Yes - both are open-source projects on GitHub (future-agi: Apache-2.0, agent-framework: MIT).

### Where can I find alternatives to future-agi or agent-framework?

GraphCanon lists graph-backed alternatives at [future-agi alternatives](/tools/future-agi-future-agi/alternatives) and [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) ([future-agi markdown twin](/tools/future-agi-future-agi/alternatives.md), [agent-framework markdown twin](/tools/microsoft-agent-framework/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-future-agi-vs-microsoft-agent-framework.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, future-agi or agent-framework?

future-agi: Very active. agent-framework: 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 future-agi and agent-framework?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [future-agi trust report](/tools/future-agi-future-agi/trust); [agent-framework trust report](/tools/microsoft-agent-framework/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=future-agi-future-agi`](/api/graphcanon/graph?tool=future-agi-future-agi)
- 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/_
