Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
The ultimate collection of APIs for building autonomous AI agents — 2,036 production-ready APIs across Agents, AI Models, and MCP Servers. Stop wasting weeks building infrastructure. Plug these in and ship your agent today.
| Date | Stars |
|---|---|
| 2026-07-31 | 351 |
| 2026-08-04 | 352 |
| 2026-08-06 | 352 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
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<p>
<a href="#at-a-glance"><strong>At A Glance</strong></a>
|
<a href="#start-here"><strong>Start Here</strong></a>
|
<a href="#explore-the-stack"><strong>Explore The Stack</strong></a>
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<a href="#why-this-repo-wins"><strong>Why This Repo Wins</strong></a>
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<a href="#star-history"><strong>Star History</strong></a>
</p>
</div>
## At A Glance
> The ultimate collection of APIs for building autonomous AI agents - **2,745 production-ready APIs** across **Agents**, **AI Models**, and **MCP Servers**.
This repository is designed to feel like a launchpad, not a junk drawer. It is tightly scoped around the API layers that matter most when you are building autonomous systems, copilots, tool-using assistants, and MCP-native workflows.
| Metric | Count |
|--------|-------|
| Total APIs | 2,745 |
| Categories | 3 |
| Last Updated | 2026-08-03 |
| Focus | Agentic AI infrastructure |
<table>
<tr>
<td width="33%" valign="top">
<h3>Agents</h3>
<p><strong>768 APIs</strong></p>
<p>Execution layers, orchestration, autonomous task handling, and agent-style workflows.</p>
<p><a href="./agents-apis/"><strong>Open Agents Directory</strong></a></p>
</td>
<td width="33%" valign="top">
<h3>AI Models</h3>
<p><strong>1,623 APIs</strong></p>
<p>Generation, reasoning, extraction, transformation, and model-powered product building blocks.</p>
<p><a href="./ai-models-apis/"><strong>Open AI Models Directory</strong></a></p>
</td>
<td width="33%" valign="top">
<h3>MCP Servers</h3>
<p><strong>354 APIs</strong></p>
<p>Model Context Protocol integrations that connect assistants to real tools, systems, and data.</p>
<p><a href="./mcp-servers-apis/"><strong>Open MCP Servers Directory</strong></a></p>
</td>
</tr>
</table>
## Start Here
1. Pick the layer you need first: `Agents`, `AI Models`, or `MCP Servers`.
2. Open that category README and scan the API names and descriptions.
3. Click through to the provider page for implementation details, pricing, and docs.
4. Build your shortlist fast instead of wasting hours digging through irrelevant categories.
## Explore The Stack
<details open>
<summary><strong>Agents</strong></summary>
Best for builders who need APIs that feel closer to execution and autonomy:
- agent workflows
- orchestration layers
- autonomous task completion
- assistant behavior and action loops
[Browse Agents APIs](./agents-apis/)
</details>
<details>
<summary><strong>AI Models</strong></summary>
Best for builders who need intelligence and generation as a reusable service layer:
- reasoning and inference
- summarization and extraction
- content generation
- analysis and transformation
[Browse AI Models APIs](./ai-models-apis/)
</details>
<details>
<summary><strong>MCP Servers</strong></summary>
Best for builders who want agents to use tools through structured interfaces:
- MCP-native tool integrations
- external system connectivity
- docs, search, analytics, scheduling, and developer workflows
- assistants that need real-world actions
[Browse MCP Servers APIs](./mcp-servers-apis/)
</details>
## Built For
<table>
<tr>
<td width="25%" align="center"Excerpt of 5,980 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1fdcf884110f3022, topic:ai-agents, topic:agentic-ai, desc:ai agents