AI Agent Frameworks Market Landscape 2026

Not yet plotted (13)

Every other published tool in this category, listed alphabetically. A tool appears here when its public evidence does not yet meet the positioning threshold, when it has no recent verified first-party publication activity, or when it falls outside the 14-tool chart limit. Missing evidence is shown as missing, never as a zero position.

• AgentVault
• AutoGen
• BU
• Clam
• Claude Code Remote Access
• ClawBox
• ClawPlay
• DeltaMemory
• Hashgrid — Neural Information Exchange
• LedgerMind
• MetaGPT
• Praes
• Proworkbench

How to Read This Chart

Each dot represents a tool. A tool must show measured activity on at least 2 different platforms, at least one of which must be a primary source (Google Trends, GitHub, Docker Hub, npm, PyPI, Hugging Face and Stack Overflow); Hacker News and Product Hunt can supply the second. The horizontal position shows that evidence: Measured activity on each qualifying platform (Google Trends, GitHub, Docker Hub, npm, PyPI, Hugging Face, Stack Overflow, Hacker News and Product Hunt), log-normalized and percentile-ranked within the category. Each platform counts once and is capped, so breadth of evidence counts for more than a single large number. The vertical position shows Recent verified first-party publication activity — a GitHub release, or an npm, PyPI, Docker Hub or Hugging Face publish. A product with no public repository or package cannot have this signal, so tools without one are listed rather than positioned. The dashed lines mark the category median on each axis — tools above and to the right of both are Strong & Rising. This measures how much verifiable public evidence exists for a tool. It is not a measure of product quality, market share, customer count, or enterprise adoption. Missing evidence is shown as missing, never converted to zero. A tool we could not measure is listed without a position rather than placed at the bottom of the scale. Select a tool to inspect its evidence, pricing, alternatives, and comparisons.

Methodology

Each plotted tool has enough verified public evidence for category-relative comparison. Sources and methodology are documented; missing evidence is identified rather than guessed. No vendor pays for placement.

Public Signal Strength (X-axis)

Percentile rank of the tool's public evidence within this category. Measured activity on each qualifying platform (Google Trends, GitHub, Docker Hub, npm, PyPI, Hugging Face, Stack Overflow, Hacker News and Product Hunt), log-normalized and percentile-ranked within the category. Each platform counts once and is capped, so breadth of evidence counts for more than a single large number. This measures how much verifiable public evidence exists for a tool. It is not a measure of product quality, market share, customer count, or enterprise adoption.

Recent Release Activity (Y-axis)

A category-relative measure based on a verified non-archived GitHub release or, when that does not qualify, a verified primary npm, PyPI, Docker Hub, or Hugging Face publication. Recency is measured against the frozen evidence snapshot date, never the current request time. It is not a percentage growth rate, search-interest measure, or proxy for customer growth.

Quadrant placement

The dividing lines sit at the category median for each axis, ensuring a balanced distribution across all four quadrants.