DeepYard

Anthropic Agent SDK vs Letta

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Anthropic Agent SDK suits teams needing open-source access, tool use focus, and 3,842 GitHub stars in current listing data. Letta suits teams needing open-source access, memory management focus, and 24,339 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
A

Anthropic Agent SDK

Claude-native agent framework with built-in MCP and tool use — 4.6K stars

OSSFree
3.8K2.5M/wtoday67
Visit GitHub
L

Letta

Stateful agents with long-term memory — formerly MemGPT — 15K stars

OSSFree
24.3K120.0K/w6d ago140
Visit GitHub
MetricAnthropic Agent SDKLetta
GitHub Stars3.8K24.3K
Contributors67140
Last CommitAug 21, 2026Aug 16, 2026
Open Issues14642
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose Anthropic Agent SDK if you need

  • • Anthropic Agent SDK is the stronger pick when Tool Use matters because that capability is listed only on its profile.
  • • Anthropic Agent SDK is the cleaner fit if you specifically need Anthropic workflows from the catalog tags.

Choose Letta if you need

  • • Letta is the stronger pick when Memory Management matters because that capability is listed only on its profile.
  • • Letta shows broader GitHub adoption with 24,339 stars versus 3,842 for Anthropic Agent SDK.
  • • Letta has a larger visible contributor base (140 vs 67).

Meaningful differences

  • • GitHub adoption: Anthropic Agent SDK shows 3,842 stars versus 24,339 for Letta.
  • • Contributor count: Anthropic Agent SDK lists 67 contributors and Letta lists 140.

Shared capabilities

  • • Python
  • • Agents
  • • Open Source

Shared Tags

pythonagentsopen-source

Only in Anthropic Agent SDK

anthropicclaudemcptool-use

Only in Letta

memorystatefullong-term-memory

Limitations and evidence

  • • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

Source links

Manifest content date: 2026-08-21

About Anthropic Agent SDK

The Anthropic Agent SDK provides Claude-native primitives for building AI agents with built-in support for the Model Context Protocol (MCP), tool use, and multi-turn conversation management. It integrates tightly with Claude's extended thinking, computer use, and structured output capabilities for production-grade agent applications.

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About Letta

Letta (formerly MemGPT) is a framework for building stateful AI agents with persistent long-term memory. It implements a virtual context management system that allows agents to maintain conversation history, user preferences, and knowledge across sessions. Provides a server runtime, REST API, and Python SDK for production deployment.

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