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Best AI Agent Frameworks & Orchestration for midmarket teams

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Crail tracks 6 AI Agent Frameworks & Orchestration vendors that list midmarket teams as a fit. These are the 5 that rank highest once the list is weighted for midmarket teams, and each one is shown with access control and integration surface — SSO, audit logging, API and MCP — the facts that decide the shortlist at this size, rather than the same summary on every page.

How this list is weighted for midmarket teams

  • 60% of the vendor's Crail agent-readiness score
  • up to 24 points for published compliance certifications (8 per certification)
  • 10 points for documented SSO/SAML support
  • 6 points for a documented audit log

Startups and small businesses share the price-and-self-serve weighting; midmarket and enterprise share the compliance weighting. The full rules are on the methodology page.

Best overall: LlamaIndex

Best-documented access controls: LangGraph

1. LlamaIndex84/100 agent-readiness

Open-source data framework for LLM/agent applications, paired with LlamaCloud - a managed platform for document parsing, extraction, and indexing.

  • SSO/SAML: yes
  • Audit log: not publicly documented
  • API: REST, SDKs for Python, TypeScript
  • MCP server: yes (stdio transport), 2 tools exposed

2. LangGraph78/100 agent-readiness

Open-source low-level orchestration framework for stateful, controllable AI agents, with an optional managed deployment platform.

  • SSO/SAML: yes
  • Audit log: yes
  • API: REST, SDKs for Python, JS/TS
  • MCP server: yes (http transport), 1 tool exposed

3. CrewAI66/100 agent-readiness

Open-source Python framework for role-based, multi-agent orchestration, with a paid Enterprise/AMP platform for deployment and governance.

  • SSO/SAML: yes
  • Audit log: not publicly documented
  • API: REST, SDKs for Python
  • MCP server: none published

4. LangChain71/100 agent-readiness

Open-source Python/JS framework for composing LLMs, tools, and memory into applications and agents.

  • SSO/SAML: not publicly documented
  • Audit log: not publicly documented
  • API: available, SDKs for Python, JS/TS
  • MCP server: none published

5. AG2 (AutoGen)67/100 agent-readiness

Community-maintained open-source multi-agent AI framework forked from Microsoft's AutoGen, for building and orchestrating cooperating AI agents.

  • SSO/SAML: not publicly documented
  • Audit log: not publicly documented
  • API: available, SDKs for Python
  • MCP server: none published

FAQ

How is this AI Agent Frameworks & Orchestration ranking calculated for midmarket teams?

This is not the raw agent-readiness leaderboard. Crail scores the 6 AI Agent Frameworks & Orchestration vendors it tracks that fit midmarket teams, using 60% of the vendor's Crail agent-readiness score; up to 24 points for published compliance certifications (8 per certification); 10 points for documented SSO/SAML support; 6 points for a documented audit log. LlamaIndex ranks first on both measures: it holds the highest raw agent-readiness score on this list (84/100) and the top score once the midmarket teams weighting is applied.

Which of these document SSO or SAML for a midmarket rollout?

LlamaIndex, LangGraph and CrewAI document SSO or SAML. Crail found no public documentation of it for LangChain and AG2 (AutoGen), which is not the same as confirming it is missing — see the methodology page on undocumented fields. LangGraph also document an audit log.

Which expose an API or MCP server for integration?

LlamaIndex (REST), LangGraph (REST), CrewAI (REST), LangChain (API) and AG2 (AutoGen) (API) publish a public API. LlamaIndex and LangGraph also ship an MCP server, which is what lets an agent call the product directly.