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Microsoft Agent Framework vs OpenLegion

Bottom line

Microsoft Agent Framework is free, while OpenLegion has a free plan plus paid upgrades. Microsoft Agent Framework is open source and OpenLegion is not.

Which one should you try?

Microsoft Agent Framework

Free

Best for Teams building production multi-agent systems with enterprise governance requirements

Visit Microsoft Agent Framework See full review

OpenLegion

Freemium

Best for Teams automating repetitive computer tasks 24/7

Visit OpenLegion See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Microsoft Agent Framework

Microsoft Agent Framework

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

OpenLegion

OpenLegion

Each agent gets its own isolated container, spend cap, and vault-proxied credentials — so a rogue agent can't drain your API budget or leak credentials to the next task in the queue. The platform deploys a coordinated fleet from a plain-English description of the function you need: a sales pipeline, a content studio, a research desk. Credential handling and per-agent budgets are locked down by default, which means you're not retrofitting security after something goes wrong. The ceiling appears when your workflow needs branching logic that the template model can't express — at that point you're describing edge cases in natural language and hoping the agent interprets them correctly. Teams with deterministic multi-step requirements often add a separate orchestration layer to compensate.

AttributeMicrosoft Agent FrameworkOpenLegion
PricingFreeFreemium
Price—$19/mo
Pricing checkedNot checked yetJun 11, 2026
Free trialNot stated7 days
Open sourceYesNo
Has APIYesYes
Self-hosted optionYesYes
PlatformsPython, .NET (1.0 stable); Go (public preview)Web, Self-hosted (Docker)
LanguagesPython, C# (.NET)—
Released2025-102026-02
Pros
  • Unifies the enterprise-ready foundations of Semantic Kernel with the innovative orchestration of AutoGen
  • Full framework support for both Python and C#/.NET implementations with consistent APIs and built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging
  • Open standards & interoperability — MCP, A2A, and OpenAPI ensure agents are portable and vendor-neutral
  • Supports integration with any API via OpenAPI, collaboration across runtimes with Agent2Agent (A2A), and dynamic tool connections using MCP
  • Enterprise readiness — built-in observability, approvals, security, and long-running durability
  • Per-agent spend caps enforce budget ceilings at the container level, so a misconfigured agent or a prompt injection that triggers excessive tool calls cannot consume your entire LLM budget before you notice.
  • Vault-proxied credential handling means raw API keys and account credentials are never passed between agents in plaintext, which removes a common attack surface in multi-agent setups where credentials flow through shared memory.
  • Support for over 100 LLM providers with no markup on usage, so switching the model backing a specific agent — say, moving a high-volume scraping agent from a premium model to a cheaper one — is a configuration change, not a rebuild.
  • Container isolation per agent means a failure or security event in one agent's environment does not propagate to the rest of the fleet, so a single broken workflow doesn't take down concurrent production tasks.
  • Native trigger integrations with Slack, Discord, Telegram, WhatsApp, and webhooks mean agents can be kicked off from tools your team already uses, so you avoid building a separate scheduling or event layer to connect the platform to your existing stack.
Cons
  • Public preview released October 1, 2025, with AutoGen and Semantic Kernel entering maintenance mode
  • Requires understanding of agentic AI concepts and orchestration patterns
  • Dependent on external model providers for LLM capabilities
  • Workflows that depend on precise conditional branching — route this lead differently based on company size, or skip invoice processing if the vendor field is blank — have to be described in natural language rather than defined in code. At production volume, the agent's interpretation drifts, and teams running exception-heavy operations report adding a rules layer outside the platform to catch the cases that fall through.
  • There is no free tier. Evaluation requires a paid commitment with a money-back window. Teams that need to run a live proof-of-concept against their actual data before budgeting the tool will find the evaluation model friction — and some will default to an open-source alternative like n8n or a code-first framework they can run locally at zero cost.
  • The platform is closed-source, which means teams with strict compliance requirements who need to audit the agent runtime itself — not just the action logs — cannot inspect the execution layer. Organizations in regulated industries that hit this wall during security review switch to a self-hostable, open-source orchestration framework where the full stack is auditable.

Made up your mind?

Microsoft Agent Framework

Free

Best for Teams building production multi-agent systems with enterprise governance requirements

Visit Microsoft Agent Framework See full review

OpenLegion

Freemium

Best for Teams automating repetitive computer tasks 24/7

Visit OpenLegion See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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