LemmavsPane
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Lemma
Lemma · Agent harness
OSS
Panel
6.81 spec wins
- Reliability
- 6.2
- Usefulness
- 6.8
- Cost
- 7.7
- Longevity
- 6.3
“You install the platform of the future with uv, which is at least honest about which decade the tooling comes from.”
Pane
dcouple · Agent harness
OSS
Panel
6.92 spec wins
- Reliability
- 6.7
- Usefulness
- 6.7
- Cost
- 8.2
- Longevity
- 6.2
“Pane Chat is a terminal for orchestrating your other terminals, which is where all of this was always going.”
Spec by spec
| Spec | Lemma | Pane |
|---|---|---|
| Architecture | ||
| Category | Agent harness | Agent harness |
| Runs | local, cloud | local, cloud |
| Platforms | macos, linux, windows, web | macos, linux, windows, web |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | No | No |
| MCP server | No | No |
| Capabilities | ||
| Runs terminal commands | Yes | Yes |
| Multi-file edits | YesA pod is authored by the coding agent you already use, and pod runs dispatched through Agent Host let that agent change files; Lemma itself edits pod definitions. | YesEdits are made by the agent running in the pane; Pane supplies the isolated worktree and the diff viewer. |
| Git operations | No | Yes |
| Browser control | No | No |
| Sandboxed execution | No | No |
| Multi-agent orchestration | Yes | Yes |
| Headless / CI mode | YesWorkflows are triggered by schedules, webhooks, table events, chat or the API, with optional human approval steps. | No |
| Models | ||
| Backbone | Claude Code, Codex, OpenCode, Cursor, any Anthropic-compatible endpoint, any OpenAI-compatible endpoint | Claude Code, Codex, Cursor Agent, Aider, Goose, OpenCode, any terminal agent |
| Bring your own model | Yes | Yes |
| Local models | YesServer-run agents accept any Anthropic- or OpenAI-compatible endpoint, which covers a self-hosted gateway or a local model. | YesPane runs whatever CLI agent you point it at, so a locally served model is a matter of how that agent is configured. |
| 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 | AGPL-3.0 | AGPL-3.0 |
| GitHub stars | 475 | 500 |
Which one would each critic pick
| Critic | Lemma | Pane | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 6.8 | 7.0 | Pane — Pick it if you run agents in parallel and lose track of the branches; pick a single terminal and one agent if you do not. |
| El Crítico | 6.3 | 6.8 | Pane — Several agents at once still share one machine, one port range, one package cache and one set of build outputs; the worktree only separates files. |
| El Profesor | 7.0 | 7.3 | Pane — The integration contract is the terminal itself, so any agent that runs in one runs here with no per-vendor adapter and no capability negotiation. |
| La Inversora | 6.3 | 6.3 | no preference |
| La Jefa | 6.5 | 6.5 | no preference |
| El Hacker | 7.8 | 7.8 | no preference |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.