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Composio
Agent Tooling · 1.5M monthly visits

Composio is a developer platform that acts as a "skill layer" for AI agents. It enables developers to seamlessly connect their AI agents to over 10,000 tools and APIs, handling complex tasks like authentication, execution, and scaling. This allows developers to build powerful, action-oriented AI applications much faster by focusing on agent logic rather than integration plumbing.

VS
Skillgraph
Agent Frameworks · 2.9K monthly visits

Skillgraph is an experimental, open-source AI agent framework designed to build robust, controllable, and cost-effective AI agents. It replaces traditional low-level tool-calling with sophisticated 'skills' that manage complex tasks, multi-turn workflows, and internal logic, offering superior control and efficiency for developers.

Composio vs Skillgraph: pricing, features, traffic, and use cases

Compare Composio and Skillgraph across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 5, 2026

Product overview

Composio Product overview

Composio is a developer platform that acts as a "skill layer" for AI agents. It enables developers to seamlessly connect their AI agents to over 10,000 tools and APIs, handling complex tasks like authentication, execution, and scaling. This allows developers to build powerful, action-oriented AI applications much faster by focusing on agent logic rather than integration plumbing.

Preview

Skillgraph Product overview

Skillgraph is an experimental, open-source AI agent framework designed to build robust, controllable, and cost-effective AI agents. It replaces traditional low-level tool-calling with sophisticated 'skills' that manage complex tasks, multi-turn workflows, and internal logic, offering superior control and efficiency for developers.

Preview

Detailed feature comparison

FeatureComposioSkillgraph
Primary categoryAgent ToolingAgent Frameworks
Added2025-09-072025-11-12
PricingFreemiumFree
Official websitecomposio.devskillgraph.live
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits1.5M2.9K
Monthly growth52.6%-10.3%
Favorites130139
DetailsView detailsView details

Composio vs Skillgraph monthly traffic

Compare Composio and Skillgraph by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Composio vs Skillgraph monthly traffic comparison, Composio currently shows 1.5M visits and Skillgraph shows 2.9K; Composio has about 515.9 times the visible traffic of Skillgraph, an absolute difference of about 1.5M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Composio monthly traffic:

Latest traffic

Monthly visits
1.5M
Avg. visit duration
3:45
Pages per visit
5.13
Bounce rate
41.81%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 424.8K Monthly visits
  • 2026/1: 413.3K Monthly visits
  • 2026/2: 515.8K Monthly visits
  • 2026/3: 821.6K Monthly visits
  • 2026/4: 991.2K Monthly visits
  • 2026/5: 1.5M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States52.41%792.8K
🇮🇳India21.96%332.2K
🇬🇧United Kingdom9.06%137K
🇧🇷Brazil8.47%128.1K
🇻🇳Vietnam8.1%122.5K

Traffic sources

Source typePercentageTraffic
Direct78.31%1.2M
Referral19.81%299.7K
Email1.88%28.4K

Search keywords

codex vs claude codecomposiocomposio aicomposio mcpmeta ads mcp

Skillgraph monthly traffic:

Latest traffic

Monthly visits
2.9K
Avg. visit duration
0:00
Pages per visit
1.06
Bounce rate
37.91%
Data updated 2026-06-15

Monthly traffic trend

  • 2026/1: 716 Monthly visits
  • 2026/2: 676 Monthly visits
  • 2026/3: 99 Monthly visits
  • 2026/4: 3.3K Monthly visits
  • 2026/5: 2.9K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇻🇳Vietnam49.99%1.5K
🇳🇬Nigeria36.23%1.1K
🇨🇿Czech Republic13.78%404

Search keywords

ai skill graph"skill graph"skill graphskillgraph
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Composio first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Composio and Skillgraph

Composio Core features

Agent Tooling
Api & Integration
Automation

Skillgraph Core features

Agent Frameworks
Llm Orchestration
Chatbot Development

Use cases

Composio Use cases

ai agents
agent tooling
API integration
authentication
AutoGen
automation
developer tools
LangChain
llm
no-code backend
OAuth
SOC 2
workflow automation

Skillgraph Use cases

ai agents
agentic workflow
Apache 2.0
Caching
conversational AI
LLM Framework
LLM orchestration
Multi-turn Workflows
open source
prompt engineering
reliability
Skill-based AI
State Management

Best suited roles

Composio Best suited roles

AI Engineer
Machine Learning Engineer
Product Manager
Software Developer
Automation Specialist
DevOps Engineer
Technical Founder

Skillgraph Best suited roles

AI Engineer
Machine Learning Engineer
Product Manager
Software Developer
Backend Developer
Solutions Architect

Composio vs Skillgraph:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Composio vs Skillgraph comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Composio is primarily listed under “Agent Tooling”, while Skillgraph is primarily listed under “Agent Frameworks”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Composio: Agent Tooling; Skillgraph: Agent Frameworks); Pricing (Composio: Freemium; Skillgraph: Free); Monthly visits (Composio: 1.5M; Skillgraph: 2.9K); Monthly growth (Composio: 52.6%; Skillgraph: -10.3%); Favorites (Composio: 130; Skillgraph: 139). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Composio vs Skillgraph monthly traffic comparison, Composio currently shows 1.5M visits and Skillgraph shows 2.9K; Composio has about 515.9 times the visible traffic of Skillgraph, an absolute difference of about 1.5M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Composio first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Composio and Skillgraph currently overlap in shared tags: ai agents; shared roles: AI Engineer, Machine Learning Engineer, Product Manager, and Software Developer. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Composio's unique categories/tags are Agent Tooling, Api & Integration, Automation, agent tooling, API integration, authentication, AutoGen, and automation; Skillgraph's are Agent Frameworks, Llm Orchestration, Chatbot Development, agentic workflow, Apache 2.0, Caching, conversational AI, and LLM Framework. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Composio has no verified rating, 0 comments, 130 favorites, and 129 likes;Skillgraph has no verified rating, 0 comments, 139 favorites, and 147 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Composio first

Put Composio on the priority trial list when the task aligns with “Agent Tooling” and especially Agent Tooling, Api & Integration, Automation, agent tooling, API integration, and authentication, or the users include Automation Specialist, DevOps Engineer, and Technical Founder. This follows recorded positioning and does not imply unlisted capabilities are absent.

Composio also currently records: pricing is freemium, product type is website, 1.5M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Skillgraph first

Put Skillgraph on the priority trial list when the task aligns with “Agent Frameworks” and especially Agent Frameworks, Llm Orchestration, Chatbot Development, agentic workflow, Apache 2.0, and Caching, or the users include Backend Developer and Solutions Architect. This follows recorded positioning and does not imply unlisted capabilities are absent.

Skillgraph also currently records: pricing is free, product type is website, 2.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Composio and Skillgraph, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between Composio and Skillgraph?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.