Top 6 of 14 researched candidates
Alternatives to LangGraph
Find a better fit for what you need. Compare alternatives to LangGraph with sourced features, strengths and trade-offs side by side.
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Evidence-backed shortlist
Closest researched alternatives to LangGraph
Ordered by the requirements met, strengths preserved, explicit trade-offs and research coverage. Sponsorship does not enter the order.
- 01
LangChain
Open source agent frameworks plus LangSmith, a hosted platform to trace, evaluate, deploy and govern agents.
From FreeWhy it's on this listDone-for-you service · PartialYou run the software yourself on every self-serve plan; only Enterprise buyers get LangChain engineers, architectural guidance and team training alongside the product.Evidence ↗
Where it improves on LangGraph
- +Agent permissions · YesHuman-in-the-loop interrupts gate agent actions in the framework, dcode gates code execution behind approval modes, and Fleet agents can run as themselves or as the calling user.Evidence ↗
- +Admin controls · YesAdmins cap model spend and request rates through the gateway on every plan and set monthly compute ceilings on Engine; fine-grained role and tag policies need Enterprise.Evidence ↗
Trade-offs against LangGraph
- −Self-hosted · PartialThe open source frameworks run anywhere, but self-hosting or hybrid-hosting the LangSmith platform on Kubernetes is an Enterprise-plan option; Developer and Plus are cloud-only.Evidence ↗
- −Open source · PartialThe frameworks and the dcode coding agent are MIT-licensed and free, while the LangSmith platform that carries the price, seats and governance is proprietary and hosted.Evidence ↗
- −Bring your own key · PartialYou can bring your own provider keys through the gateway on every plan, or buy inference as Gateway Credits, but Engine refuses your keys and bills its model use as compute units.Evidence ↗
34/35 researched criteria · 1 not established - 02
Mastra
Open-source TypeScript framework for building AI agents, with a hosted platform for running and observing them.
From FreeWhy it's on this listThe TypeScript-native move for Next.js/Node shops that do not want to stand up a separate Python service -- the only framework in this category built TS-first rather than ported from Python, with agents, durable typed workflows, memory and observability unified in one package. The self-hosted core is free and Apache-2.0, and the Mastra Cloud Starter tier is $0/month for 100K observability events and 24 CPU hours before metered overage. The tradeoff: it is TypeScript-only with no first-party Python support, enterprise controls (RBAC, SSO, IAM) sit behind a source-available Enterprise license rather than the open core, and as a framework founded in 2024 it has a far smaller tutorial and integration base than LangChain's multi-year head start.
Where it improves on LangGraph
- +Done-for-you service · PartialYou run the software, but Mastra sells professional services (Concierge, forward-deployed engineering) and enterprise support covering planning, prototyping and workshops.Evidence ↗
- +Agent permissions · YesTool approval can gate any tool call, per server or by predicate on tool name/arguments; approvals propagate up a subagent delegation chain.Evidence ↗
Trade-offs against LangGraph
- −In your pipeline · PartialScorers and eval suites run in CI through Vitest/Jest via runEvals; the vendor claims no agent that acts on a pull request.Evidence ↗
- −Seat model · NoNot licensed per seat: Starter and Teams both state unlimited users, and the self-hosted Enterprise offer explicitly rejects per-seat metering.Evidence ↗
- −Certifications · PartialSOC 2 documentation is offered from the Teams plan; a DPA covering GDPR, UK GDPR and CCPA/CPRA is published, and a Vanta-hosted trust centre carries the security programme. No ISO 27001 claim found.Evidence ↗
35/35 researched criteria - 03
CrewAI
Open-source multi-agent framework with a managed platform for deploying and governing agent workflows.
From FreeWhy it's on this listThe closest direct rival in shape and market -- both are Python multi-agent orchestration frameworks competing for the same developer buyer. CrewAI's Basic tier is free for 50 workflow executions/month, and its open-source core deploys to your own VPC or fully self-hosted with unlimited executions, an alternative to LangSmith's per-seat-plus-LCU/LSU metering. The tradeoff: agent collaboration is limited to two modes (Sequential and Hierarchical) versus LangGraph's full cyclical graph, and there is no pay-as-you-go overage -- exceeding a plan's execution quota forces an upgrade to the next tier rather than metered billing.
Where it improves on LangGraph
- +Done-for-you service · PartialYou run the software yourself, but the Enterprise plan sells forward-deployed engineers, onboarding and training separately, so people-delivered build help exists as a paid extra.Evidence ↗
Trade-offs against LangGraph
- −In your pipeline · PartialDeployments connect to GitHub repositories and agents can file issues and cut releases, but the documented action list contains no pull-request review or CI job step.Evidence ↗
- −How it meters · PartialMetering is per workflow execution rather than per seat, and the free tier states its allowance, but Enterprise volumes are sized case by case with unpriced overage.Evidence ↗
- −Pooled budget · PartialThe published allowance is stated per plan per month rather than per member, so usage is drawn from one plan-level pool, but no per-seat or per-team budget split is documented.Evidence ↗
34/35 researched criteria · 1 not established - 04
Agno
Python framework and self-hosted runtime for building and managing agent platforms.
From FreeWhy it's on this listDebugs and fixes · YesBug fixing is a documented pattern: reproduce, patch, rerun the failing tests.Evidence ↗
Where it improves on LangGraph
- +Admin controls · YesAdministrators can manage members, roles, settings, and resources, while endpoint access is constrained by role scopes.Evidence ↗
Trade-offs against LangGraph
- −In your pipeline · NoThe enumerated serving surfaces are REST, MCP in Claude/ChatGPT and chat apps; no pull-request or CI surface appears.Evidence ↗
- −How it meters · PartialPro combines a monthly platform charge with included team seats and separately priced seats and live connections.Evidence ↗
- −Seat model · PartialPro includes three team seats, with additional seats sold monthly; the vendor does not state a maximum seat count.Evidence ↗
35/35 researched criteria - 05
Letta
Stateful agent harness, cloud and SDK for agents with persistent, git-versioned memory.
From FreeWhy it's on this listDebugs and fixes · YesVendor states coding agents debug failures and run test suites.Evidence ↗
Where it improves on LangGraph
- +Agent permissions · YesFour modes from strict to unrestricted, plus allow/deny tool patterns and a cross-agent memory guard.Evidence ↗
- +In your editor · YesThe letta-acp adapter runs Letta as a custom agent in Zed, JetBrains IDEs and Obsidian.Evidence ↗
Trade-offs against LangGraph
- −MCP server · NoMCP runs inbound only: Letta sessions consume stdio, HTTP and SSE MCP servers; no Letta MCP server is published.Evidence ↗
- −Seat model · PartialPriced per seat on Teams Pro; no seat minimum or maximum is published, and Enterprise seat pricing is by contact.Evidence ↗
- −Pooled budget · NoQuota attaches to each purchased Pro seat; unpaid seats get no Letta-hosted inference at all.Evidence ↗
35/35 researched criteria - 06
Pydantic AI
Open-source Python agent framework from the Pydantic team, with a typed agent loop and swappable models.
From FreeWhy it's on this listThe lighter-weight move for teams that do not need LangGraph-depth native graph-branching control as the core of the framework. MIT-licensed and free, with type safety that catches malformed model outputs at write-time and FastAPI-like low-boilerplate ergonomics. Its 2.0 release (2026-06-23) added checkpointed, fault-tolerant durability, but it runs through a separate orchestrator you operate yourself (Temporal, DBOS, Prefect or Restate) rather than LangGraph's built-in, zero-infrastructure engine, and it ships fewer pre-built integrations than LangChain, so you build more of the glue yourself.
Where it improves on LangGraph
- +Agent permissions · YesTools can be marked as requiring human approval, and the run pauses with the pending calls so a person approves or denies each one before the tool body executes; the docs also warn approval is not an authorization boundary.Evidence ↗
Trade-offs against LangGraph
- −How it meters · PartialThe framework charges nothing per seat, task or token; your spend is model inference, paid either straight to providers with your own keys or through the vendor's Gateway, which adds a markup on built-in providers.Evidence ↗
- −MCP server · PartialMCP is supported as a client: the MCP capability connects any MCP server's tools into your agent, and the CLI takes an mcpServers config file; the docs I read establish consumption, not your agent being queried as an MCP server.Evidence ↗
- −A company can buy it · PartialThere is nothing to buy for the framework itself; purchasing applies to the surrounding Logfire platform, which is sold to organisations from a paid team plan up to Enterprise.Evidence ↗
34/35 researched criteria · 1 not established
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How the shortlist is calculated
Comparable first. We consider listings in the same category as LangGraph and alternatives previously researched for this page.
Requirements first. We prioritise your selected needs, then shared strengths, fewer documented trade-offs, more complete research and finally alphabetical order.
Unknown remains unknown. Missing evidence is never converted into a benefit or a trade-off. Every improvement shown above comes from the same sourced criterion as the listing.
Independent order. Payment does not affect selection or ranking. Paid placements are labelled Advertisement.
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