Microsoft's open-source multi-agent framework — orchestrate conversations between specialised agents.
LangGraph vs Linear Agentwhich AI ops agent should you pick in 2026?
LangChain's stateful multi-agent framework — graph-based orchestration with persistence and human-in-the-loop.
AI agent inside Linear — triages issues, drafts engineering specs, runs cross-team workflows on tickets.
LangGraph vs Linear Agent — specs
| Spec | LangGraph | Linear Agent |
|---|---|---|
| Agent Rank | 68 / 100 (B) | 73 / 100 (A) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Free · OSS | Subscription · from $8 |
| Open source | Yes | No |
| Capabilities | Multi-agent, Tool use, Memory | Tool use, RAG, Memory |
| Integrations | 3 apps | 3 apps |
| Verified | Verified | Verified |
| Released | Jun 2024 | Apr 2025 |
Agent Rank breakdown
- Autonomy fit
- 9
- Capabilities
- 6
- Integrations
- 2
- Pricing value
- 10
- Polish & maturity
- 7
- Verifiability
- 7
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy fit
- 8
- Capabilities
- 6
- Integrations
- 6
- Pricing value
- 8
- Polish & maturity
- 6
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
- +Native to Linear — zero extra setup for teams already using it
- +Triage and spec-drafting genuinely save time on issue grooming
- +Pricing folds AI features into the existing Linear seat
- −Only useful if you live in Linear
- −Less powerful than dedicated coding agents (Cursor, Claude Code) for code work
- −Agent autonomy bounded by Linear-specific tasks
Pricing
- +Basic Linear
- +Limited AI features
- +Full Linear + AI Agent
- +Issue triage
- +Spec drafting
- +SAML SSO
- +SCIM
- +Advanced analytics
Which one should you pick?
Pick LangGraph if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
Try LangGraph →Pick Linear Agent if its specific capabilities (Tool use, RAG) match what you need.
Try Linear Agent →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick LangGraph or Linear Agent in 2026?+
Pick LangGraph if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Pick Linear Agent if its specific capabilities (Tool use, RAG) match what you need. Most working teams running both can use LangGraph for primary work and Linear Agent for the workflows where its specific strengths matter.
What's the price difference between LangGraph and Linear Agent?+
LangGraph starts at Free · OSS; Linear Agent starts at Subscription · from $8. LangGraph is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, LangGraph or Linear Agent?+
LangGraph is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.
Readers comparing LangGraph and Linear Agent also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
- Multi-agentTool useCodeMemory
Open-source framework for orchestrating role-playing autonomous AI agents in collaborative crews.
Multi-agentTool useMemoryDemo · hover to playOpenAI's lightweight multi-agent reference implementation — handoff + routine patterns, educational.
Multi-agentTool use
Demo · hover to play