AG2vsLagent
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
AG2
AG2 AI · Agent framework
OSS
Panel
6.03 spec wins
- Reliability
- 5.7
- Usefulness
- 5.7
- Cost
- 7.2
- Longevity
- 5.7
“The feature list includes history compaction, a framework promising to forget things before you have asked it to.”
Lagent
InternLM · Agent framework
OSS
Panel
6.00 spec wins
- Reliability
- 5.5
- Usefulness
- 5.2
- Cost
- 8.5
- Longevity
- 5.0
“Shipping since August 2023, which in agent-framework years makes it a heritage brand.”
Spec by spec
| Spec | AG2 | Lagent |
|---|---|---|
| Architecture | ||
| Category | Agent framework | Agent framework |
| Runs | local | local |
| Platforms | macos, linux, windows | linux, macos |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | No | No |
| MCP server | No | No |
| Capabilities | ||
| Runs terminal commands | Yes | No |
| Multi-file edits | No | No |
| Git operations | No | No |
| Browser control | No | No |
| Sandboxed execution | No | No |
| Multi-agent orchestration | Yes | Yes |
| Headless / CI mode | Yes | No |
| Models | ||
| Backbone | GPT, Claude, Gemini, Ollama | InternLM, Qwen, vLLM, OpenAI |
| Bring your own model | Yes | Yes |
| Local models | Yes | YesThe documented quick start serves Qwen2-7B-Instruct locally through the bundled VllmModel backend. |
| Cost | ||
| Pricing model | byok | byok |
| Starts at | $0/mo | $0/mo |
| Free tier | Yes | Yes |
| Bring your own key | Yes | Yes |
| Openness | ||
| Open source | Yes | Yes |
| License | Apache-2.0 | Apache-2.0 |
| GitHub stars | 4,972 | 2,280 |
Which one would each critic pick
| Critic | AG2 | Lagent | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 6.5 | 6.0 | AG2 — Pick AG2 if you want Python agents that call your own functions through a decorator; pick AutoGen if you would rather stay with the original and its research group. |
| El Crítico | 6.0 | 5.5 | AG2 — v1.0 is not a drop-in upgrade, and the older code base continues as a separate ag2-classic package, so this project ships two things under one name. |
| El Profesor | 6.0 | 6.8 | Lagent — The design borrows PyTorch's composition model deliberately: agents stack like layers and communicate through a single typed message, which makes the topology explicit. |
| La Inversora | 4.8 | 6.0 | Lagent — A model laboratory publishing an agent library is buying default placement for its own weights, which funds the work and sets the priorities somewhere else. |
| La Jefa | 5.8 | 5.0 | AG2 — Nothing to buy for sixty seats and it runs headless in the CI we already have, but there is no console, no audit trail and no support contract on offer. |
| El Hacker | 7.3 | 7.0 | AG2 — Apache-2.0, pip install ag2[openai], Ollama in the model list, and neither an MCP client nor an MCP server, which in 2026 is the part that annoys me. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.