Microsoft's open-source multi-agent framework — orchestrate conversations between specialised agents.
Multi-agentTool useCodeMemory
LangGraph vs Numericwhich AI ops agent should you pick in 2026?
LangChain's stateful multi-agent framework — graph-based orchestration with persistence and human-in-the-loop.
Multi-agentTool useMemory
LangGraph vs Numeric — specs
| Spec | LangGraph | Numeric |
|---|---|---|
| Agent Rank | 68 / 100 (B) | 68 / 100 (B) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Free · OSS | Subscription · Free tier |
| Open source | Yes | No |
| Capabilities | Multi-agent, Tool use, Memory | Tool use, Memory, RAG |
| Integrations | 3 apps | 3 apps |
| Verified | Verified | Verified |
| Released | Jun 2024 | Feb 2025 |
Agent Rank breakdown
LangGraph
Agent Rank
68/ 100
- 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?
Numeric
Agent Rank
68/ 100
- Autonomy fit
- 8
- Capabilities
- 6
- Integrations
- 2
- Pricing value
- 9
- 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
LangGraph
Numeric
Pros
- +Close-cycle time reduction of 30–50% at deployed customers
- +Variance commentary drafting saves the controller hours per close
- +Auditable trail of every AI-generated journal entry suggestion
Cons
- −Best for teams already using NetSuite / Sage Intacct
- −Semi-auto only — humans must approve before posting
- −New product (2024 launch); customer reference list still building
Pricing
LangGraph
Numeric
Growth
Custom
Mid-market finance teams
- +Close automation
- +Reconciliations
- +Flux analysis
Recommended
Enterprise
Custom
Large finance orgs
- +Everything in Growth
- +Multi-entity consolidation
- +Custom workflows
- +SSO
Which one should you pick?
LangGraph
Pick LangGraph if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
Try LangGraph →Numeric
Pick Numeric if its specific capabilities (Tool use, Memory) match what you need.
Try Numeric →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick LangGraph or Numeric 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 Numeric if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use LangGraph for primary work and Numeric for the workflows where its specific strengths matter.
What's the price difference between LangGraph and Numeric?+
LangGraph starts at Free · OSS; Numeric starts at Subscription · Free tier. 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 Numeric?+
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 Numeric also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
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
See more alternatives: alternatives to LangGraph · alternatives to Numeric
Want the real monthly cost at your volume? Run the TCO calculator →
← Build your own comparison