Agently vs LangGraph
Agently and LangGraph are both agent frameworks. Agently is published by AgentEra and LangGraph by LangChain. On GitHub, LangGraph has 43,823 stars and Agently has 1,658. Both were last active in Oct 2026. The table lines up where they differ (publisher, license, GitHub stars and weekly downloads) and has the install commands for both. Everything here comes from the listings' public sources and is refreshed daily. Agently describes itself as: AI application runtime framework for backends with structured outputs, observable actions, MCP capabilities and recoverable workflows. LangGraph: Low-level Python orchestration framework for long-running stateful agents, with durable execution, human review points and short- and long-term memory. Licenses: Agently Apache-2.0, LangGraph MIT.
Updated Oct 24, 2026 · Built from catalog data; how we rank and grade
Agently
AgentEra
AI application runtime framework for backends with structured outputs, observable actions, MCP capabilities and recoverable workflows.
LangGraph
LangChain
Low-level Python orchestration framework for long-running stateful agents, with durable execution, human review points and short- and long-term memory.
Who should pick which
- Pick Agently if you want MCP support built in.
- Pick LangGraph if you need several agents working together.
- LangGraph has the larger community: 43,823 GitHub stars against 1,658.
From listing data only. We don't pick a winner on security beyond the grades; read how grades work.
Side by side
| Fact | Agently | LangGraph |
|---|---|---|
| Type | Harness | Harness |
| Publisher | AgentEra | LangChain |
| License | Apache-2.0 | MIT |
| Pricing | Not stated | Not stated |
| Runs | Not stated | Not stated |
| Auth | Not stated | Not stated |
| Hosts supported | Not stated | Not stated |
| Tools | Not listed yet | Not listed yet |
| Security grade | –Security: not graded yet | –Security: not graded yet |
| Freshness grade | AFreshness: A | AFreshness: A |
| GitHub stars | 1,658 | 43,823 |
| Weekly downloads | 685 | 13,114,431 |
| Last release | Oct 13, 2026 | Oct 24, 2026 |
| Last activity | Oct 13, 2026 | Oct 24, 2026 |
Facts from each listing's public sources, checked daily. Tool lists arrive with tool scans.
Install
Agently
pip install Agently
LangGraph
pip install langgraph
Also consider
- 0.853score
LlamaIndex
LlamaIndex
Open-source Python toolkit for RAG and agents over your own data, with event-driven workflows and 300+ integration packages.
HarnessAFreshness: A★ 52.6K↓ 1.4M/wk - 0.753score
LangChain
LangChain
Python framework of interoperable components and integrations for building agents and LLM apps, with LangGraph and Deep Agents layered above it.
HarnessAFreshness: A★ 148.4K↓ 37.3M/wk - 0.732score
CrewAI
CrewAI
Open-source Python framework for multi-agent workflows, with role-based Crews and event-driven Flows.
HarnessAFreshness: A★ 60.1K↓ 644.6K/wk
Questions
- Is Agently or LangGraph more popular?
- LangGraph has more GitHub stars (43,823 against 1,658). Stars measure attention, not quality, so check freshness and docs too.
- Are Agently and LangGraph open source?
- Yes: Agently is Apache-2.0 and LangGraph is MIT.
Related
Cite this page
Agently vs LangGraph. Agent Mart. https://agentmart.dev/compare/agently-vs-langgraph (last updated 2026-10-24)