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Alternatives to OpenAI Agents SDK (Python)

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Closest alternatives to OpenAI Agents SDK (Python)

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  1. 01

    AgentsKitVerified

    Composable TypeScript packages for building AI agents, with swappable model, memory, tool and UI layers.

    From Free

    Why it's on this listWrites code · YesA bundled coder persona is documented for real multi-file implementation work, paired with scoped filesystem and allowlisted shell tools that the developer wires up.Source ↗

    Where it improves on OpenAI Agents SDK (Python)

    • +Reviews code · YesA codeReviewer persona reads a diff hunk by hunk and returns a review verdict, and it is documented alongside the GitHub tool for commenting on pull requests.Source ↗
    • +Claude · YesA native Anthropic adapter covers the Claude model family with streaming and tool calls, and the delegation examples use a Claude model by default.Source ↗

    Trade-offs against OpenAI Agents SDK (Python)

    None found.

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  2. 02

    Google Agent Development Kit (ADK)

    Open-source framework for building, evaluating and deploying AI agents in Python, TypeScript, Go, Java or Kotlin.

    From Free

    Why it's on this listClaude · YesClaude is supported in Python and Java, either through the registry wrapper on Google Cloud Agent Platform or directly against Anthropic with your own API key.Source ↗

    Where it improves on OpenAI Agents SDK (Python)

    • +Open models · YesOpen-weight models run through LiteLLM against local hosts such as Ollama, with separate documented paths for vLLM and on-device LiteRT-LM serving.Source ↗
    • +MCP server · YesMCP works in both directions: agents consume external MCP servers as tools, and you can wrap ADK tools in an MCP server that any other MCP client can call.Source ↗

    Trade-offs against OpenAI Agents SDK (Python)

    None found.

    Compare with OpenAI Agents SDK (Python)View listing
  3. 03

    Pydantic AI

    Open-source Python agent framework from the Pydantic team, with a typed agent loop and swappable models.

    From Free

    Why it's on this listAnswers OpenAI Agents SDK's own durability gap directly: since its backwards-incompatible 2.0 release (2026-06-23), Pydantic AI wires into Temporal, DBOS, Prefect or Restate for real checkpointed, resumable execution — well past OpenAI's own manual RunState snapshots. The cost is operating that separate orchestrator yourself, and OpenAI's SDK ships an official TypeScript SDK where Pydantic AI is Python-only.

    Where it improves on OpenAI Agents SDK (Python)

    • +Claude · YesAnthropic is a first-class built-in provider with its own model class and install extra, selectable by a provider-prefixed model string like anthropic:claude-sonnet-4-6.Source ↗
    • +Open models · YesOpen-weight models are reachable through OpenAI-compatible providers the docs enumerate, including local runtimes Ollama and vLLM as well as Hugging Face and Groq, so weights you host yourself are supported.Source ↗
    • +In a browser · YesA browser chat interface ships in the package via Agent.to_web() or clai web, though the docs position it for local development and debugging rather than production use.Source ↗

    Trade-offs against OpenAI Agents SDK (Python)

    None found.

    Compare with OpenAI Agents SDK (Python)View listing
  4. 04

    Agno

    Python SDK plus self-hosted AgentOS runtime and hosted control plane for building and operating agents.

    From Free

    Why it's on this listWrites code · YesShips a CodingTools toolkit whose documented job is editing files and running commands in a scoped project directory.Source ↗

    Where it improves on OpenAI Agents SDK (Python)

    • +Debugs and fixes · YesBug fixing is a documented pattern: reproduce, patch, rerun the failing tests.Source ↗
    • +Reviews code · YesCode review over a diff is one of the documented coding-agent patterns.Source ↗

    Trade-offs against OpenAI Agents SDK (Python)

    • −Open source · PartlyThe SDK and AgentOS runtime are open source and free at any scale, but the hosted control plane you pay for is not.Source ↗
    Compare with OpenAI Agents SDK (Python)View listing
  5. 05

    Letta

    Stateful agent harness, cloud and SDK for agents with persistent, git-versioned memory.

    From Free

    Why it's on this listFixes a different limitation than checkpointing: OpenAI's Sessions persist conversation history per thread, but Letta agents are stateful, durable server objects whose memory, tools and identity persist across every run instead of resetting between sessions. The cost is a much smaller ecosystem (23.9K+ GitHub stars) and a single, smaller seed round behind it.

    Where it improves on OpenAI Agents SDK (Python)

    • +Writes code · YesAgents edit and create files in your repository, including from GitHub issues and PRs.Source ↗
    • +Debugs and fixes · YesVendor states coding agents debug failures and run test suites.Source ↗
    • +Reviews code · YesReviews diffs on demand or on every PR via the GitHub action's prompt input.Source ↗

    Trade-offs against OpenAI Agents SDK (Python)

    • −MCP server · NoMCP runs inbound only: Letta sessions consume stdio, HTTP and SSE MCP servers; no Letta MCP server is published.Source ↗
    • −Audit log · NoNo administrative audit log is published; the Enterprise list stops at RBAC, SSO, quotas and dedicated support.Source ↗
    Compare with OpenAI Agents SDK (Python)View listing
  6. 06

    Mastra

    Open-source TypeScript framework for building AI agents, with a hosted platform for running and observing them.

    From Free

    Why it's on this listNot a lighter OpenAI SDK — a different ecosystem entirely: the only framework in this category built TypeScript-first rather than Python-first with a JS port, unifying agents, durable typed workflows and memory in one Apache-2.0 package. The trade-off is a much younger ecosystem (26.5K GitHub stars) and its deepest enterprise controls sit behind a separate source-available licence, not the open core.

    Where it improves on OpenAI Agents SDK (Python)

    • +Done-for-you service · PartlyYou run the software, but Mastra sells professional services (Concierge, forward-deployed engineering) and enterprise support covering planning, prototyping and workshops.Source ↗
    • +Claude · YesAnthropic is a named first-class provider in the model router; models are selected as provider/model-name strings.Source ↗
    • +Open models · YesOpen-weight models run against any OpenAI-compatible endpoint on your own hardware; the vendor names gpt-oss, Qwen3 and DeepSeek.Source ↗

    Trade-offs against OpenAI Agents SDK (Python)

    None found.

    Compare with OpenAI Agents SDK (Python)View listing

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