--- title: "agent-framework vs onWatch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-agent-framework-vs-onllm-dev-onwatch" tools: ["microsoft-agent-framework", "onllm-dev-onwatch"] --- # agent-framework vs onWatch *GraphCanon updated Aug 11, 2026* ## Verdict 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; pick onWatch if onWatch monitors AI API quotas in real time for multiple services including Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity. It is a lightweight daemon with zero telemetry. [agent-framework](https://aka.ms/agent-framework) reports 13k GitHub stars, 2.1k forks, and 685 open issues, last pushed Aug 10, 2026. [onWatch](https://onwatch.onllm.dev) has 689 stars, 53 forks, and 8 open issues, last pushed Jul 31, 2026. Figures are from public GitHub metadata via [agent-framework's repository](https://github.com/microsoft/agent-framework) and [onWatch's repository](https://github.com/onllm-dev/onWatch). | | [agent-framework](/tools/microsoft-agent-framework.md) | [onWatch](/tools/onllm-dev-onwatch.md) | | --- | --- | --- | | Tagline | Framework for building and deploying AI agents and multi-agent workflows | Track AI API quotas in real time | | Stars | 12,718 | 689 | | Forks | 2,143 | 53 | | Open issues | 685 | 8 | | Language | Python | Go | | Adopt for | The agent-framework provides tools for developers to build and deploy AI agents and multi-agent workflows in Python and .NET environments. | onWatch monitors AI API quotas in real time for multiple services including Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity. It is a lightweight daemon with zero telemetry. | | Persona | - | - | | Runtime | - | - | | License | MIT | GPL-3.0 | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-framework](/tools/microsoft-agent-framework.md) | [onWatch](/tools/onllm-dev-onwatch.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 685 | 8 | | Full report | [trust report](/tools/microsoft-agent-framework/trust.md) | [trust report](/tools/onllm-dev-onwatch/trust.md) | ## 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. ## Decision facts: onWatch - **Adopt for:** onWatch monitors AI API quotas in real time for multiple services including Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity. It is a lightweight daemon with zero telemetry. ## Choose when ### Choose agent-framework if… - agent-framework is primarily Python; onWatch is Go. - License: agent-framework is MIT, onWatch is GPL-3.0. - 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 AI Agents. - Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### Choose onWatch if… - onWatch is primarily Go; agent-framework is Python. - License: onWatch is GPL-3.0, agent-framework is MIT. - Tags unique to onWatch: ai-api-monitoring, antigravity, api-monitoring, claude-code. - onWatch ships Docker support for self-hosted deployment. - Use onWatch if you need to track quota across a broad range of AI APIs, especially those it directly supports like Anthropic Claude Code and GitHub Copilot. ## 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. ## When NOT to use onWatch - Avoid onWatch if your API providers are not supported or if you require a more extensive set of features beyond quota tracking. - If file permissions and bind mounts for SQLite storage pose operational challenges, consider alternatives with simpler setup processes. ## Common questions ### What is the difference between agent-framework and onWatch? agent-framework: Framework for building and deploying AI agents and multi-agent workflows. onWatch: Track AI API quotas in real time. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-framework over onWatch? Choose agent-framework over onWatch when agent-framework is primarily Python; onWatch is Go; License: agent-framework is MIT, onWatch is GPL-3.0; 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 AI Agents; Choose agent-framework if your project requires support for both Python and .NET, allowing you to develop across different ecosystems. ### When should I choose onWatch over agent-framework? Choose onWatch over agent-framework when onWatch is primarily Go; agent-framework is Python; License: onWatch is GPL-3.0, agent-framework is MIT; Tags unique to onWatch: ai-api-monitoring, antigravity, api-monitoring, claude-code; onWatch ships Docker support for self-hosted deployment; Use onWatch if you need to track quota across a broad range of AI APIs, especially those it directly supports like Anthropic Claude Code and GitHub Copilot. ### 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. ### When should I avoid onWatch? Avoid onWatch if your API providers are not supported or if you require a more extensive set of features beyond quota tracking. If file permissions and bind mounts for SQLite storage pose operational challenges, consider alternatives with simpler setup processes. ### Is agent-framework or onWatch more popular on GitHub? agent-framework has more GitHub stars (12,718 vs 689). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-framework and onWatch open source? Yes - both are open-source projects on GitHub (agent-framework: MIT, onWatch: GPL-3.0). ### Where can I find alternatives to agent-framework or onWatch? GraphCanon lists graph-backed alternatives at [agent-framework alternatives](/tools/microsoft-agent-framework/alternatives) and [onWatch alternatives](/tools/onllm-dev-onwatch/alternatives) ([agent-framework markdown twin](/tools/microsoft-agent-framework/alternatives.md), [onWatch markdown twin](/tools/onllm-dev-onwatch/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/microsoft-agent-framework-vs-onllm-dev-onwatch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-framework or onWatch? agent-framework: Very active. onWatch: 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 agent-framework and onWatch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-framework trust report](/tools/microsoft-agent-framework/trust); [onWatch trust report](/tools/onllm-dev-onwatch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-agent-framework`](/api/graphcanon/graph?tool=microsoft-agent-framework) - 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/_