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

# hivemind vs agent-framework

*GraphCanon updated Aug 22, 2026*

## Verdict

Pick hivemind if hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings; 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.

[hivemind](https://deeplake.ai/hivemind) reports 1.6k GitHub stars, 102 forks, and 46 open issues, last pushed Aug 21, 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 [hivemind's repository](https://github.com/activeloopai/hivemind) and [agent-framework's repository](https://github.com/microsoft/agent-framework).

| | [hivemind](/tools/activeloopai-hivemind.md) | [agent-framework](/tools/microsoft-agent-framework.md) |
| --- | --- | --- |
| Tagline | Hivemind turns your traces into reusable skills across agents | Framework for building and deploying AI agents and multi-agent workflows |
| Stars | 1,573 | 12,718 |
| Forks | 102 | 2,143 |
| Open issues | 46 | 685 |
| Language | TypeScript | Python |
| Adopt for | Hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings. | 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 | AI Agents, Developer Tools |

## Trust and health

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

| | [hivemind](/tools/activeloopai-hivemind.md) | [agent-framework](/tools/microsoft-agent-framework.md) |
| --- | --- | --- |
| Days since push | 1d | 0d |
| Open issues (now) | 46 | 685 |
| Stars delta | +74 (30d) | Unknown |
| Open issues delta | +7 (30d) | Unknown |
| Full report | [trust report](/tools/activeloopai-hivemind/trust.md) | [trust report](/tools/microsoft-agent-framework/trust.md) |

## Decision facts: hivemind

- **Adopt for:** Hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings.

## 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 hivemind if…

- hivemind is primarily TypeScript; agent-framework is Python.
- License: hivemind is Apache-2.0, agent-framework is MIT.
- Tags unique to hivemind: ai-agents, ai-memory, embeddings, long-term-memory.
- hivemind ships an MCP server manifest.
- - When you are working on an environment where multiple AI agents need to share and use the same set of skills derived from historical interactions or traces.

### Choose agent-framework if…

- agent-framework is primarily Python; hivemind is TypeScript.
- License: agent-framework is MIT, hivemind 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 hivemind

- - When your application does not require skill reuse across multiple AI agents, as Hivemind’s forte is in enabling such cross-agent knowledge and behavior sharing.
- - If you are looking for a standalone solution without integrating traces into reusable skills; Hivemind leans towards managing skills via traces.

## 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 hivemind and agent-framework?

hivemind: Hivemind turns your traces into reusable skills across agents. 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 hivemind over agent-framework?

Choose hivemind over agent-framework when hivemind is primarily TypeScript; agent-framework is Python; License: hivemind is Apache-2.0, agent-framework is MIT; Tags unique to hivemind: ai-agents, ai-memory, embeddings, long-term-memory; hivemind ships an MCP server manifest; - When you are working on an environment where multiple AI agents need to share and use the same set of skills derived from historical interactions or traces.

### When should I choose agent-framework over hivemind?

Choose agent-framework over hivemind when agent-framework is primarily Python; hivemind is TypeScript; License: agent-framework is MIT, hivemind 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 hivemind?

- When your application does not require skill reuse across multiple AI agents, as Hivemind’s forte is in enabling such cross-agent knowledge and behavior sharing. - If you are looking for a standalone solution without integrating traces into reusable skills; Hivemind leans towards managing skills via traces.

### 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 hivemind or agent-framework more popular on GitHub?

agent-framework has more GitHub stars (12,718 vs 1,573). Stars measure visibility, not whether either tool fits your constraints.

### Are hivemind and agent-framework open source?

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

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

GraphCanon lists graph-backed alternatives at [hivemind alternatives](/tools/activeloopai-hivemind/alternatives) and [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) ([hivemind markdown twin](/tools/activeloopai-hivemind/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/activeloopai-hivemind-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, hivemind or agent-framework?

hivemind: 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 hivemind and agent-framework?

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

---

**Machine-readable endpoints**

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