AdamvsLagent
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Adam
SQLite AI · Agent framework
OSS
Panel
6.02 spec wins
- Reliability
- 5.3
- Usefulness
- 5.2
- Cost
- 8.3
- Longevity
- 5.0
“It installs as a SQLite extension, so your agent is now a SQL function and your database is now a coworker.”
Lagent
InternLM · Agent framework
OSS
Panel
6.01 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 | Adam | 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 | Yes | No |
| Git operations | No | No |
| Browser control | No | No |
| Sandboxed execution | No | No |
| Multi-agent orchestration | Yes | Yes |
| Headless / CI mode | No | No |
| Models | ||
| Backbone | Anthropic, OpenAI, Google Gemini, Groq, Together, xAI, llama.cpp | 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 | MIT | Apache-2.0 |
| GitHub stars | 124 | 2,280 |
Which one would each critic pick
| Critic | Adam | Lagent | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 6.3 | 6.0 | Adam — Pick this when you are embedding an agent into a native program you ship; pick a Python framework when you are still prototyping the idea. |
| El Crítico | 5.8 | 5.5 | Adam — A shell tool and file I/O ship among the thirteen built-ins, and nothing in the row describes a permission gate between a model's suggestion and execution. |
| El Profesor | 6.3 | 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 | 5.5 | 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 | 4.8 | 5.0 | Lagent — Nothing per seat, nothing to procure, and nothing an operations team can run: this never leaves an engineer's laptop, so it never becomes my problem or my asset. |
| El Hacker | 7.3 | 7.0 | Adam — MIT, one make invocation, GGUF through llama.cpp so weights never leave the box, and no MCP client, which is the one part I would have to write myself. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.