LaddrvsVeADK
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
Laddr
Agnet Labs · Agent framework
OSS
Panel
6.30 spec wins
- Reliability
- 6.0
- Usefulness
- 5.3
- Cost
- 8.2
- Longevity
- 5.8
“It ships a playground, because the only way to know what six delegating agents will do is to sit and watch them do it.”
VeADK
Volcengine · Agent framework
OSS
Panel
6.22 spec wins
- Reliability
- 6.2
- Usefulness
- 5.7
- Cost
- 7.5
- Longevity
- 5.5
“Memory, knowledge bases and evaluation are all optional extras, so the default install is an agent with no past and no report card.”
Spec by spec
| Spec | Laddr | VeADK |
|---|---|---|
| Architecture | ||
| Category | Agent framework | Agent framework |
| Runs | local, cloud | local, cloud |
| Platforms | macos, linux, windows | macos, linux, windows |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | No | No |
| MCP server | No | No |
| Capabilities | ||
| Runs terminal commands | NoAgents call tools you write in Python; no shell tool ships in the box. | No |
| Multi-file edits | No | No |
| Git operations | No | No |
| Browser control | No | No |
| Sandboxed execution | No | No |
| Multi-agent orchestration | Yes | YesA root agent can mount sub-agents, and the Agent Server metadata endpoint reports the sub-agent topology. |
| Headless / CI mode | No | No |
| Models | ||
| Backbone | Gemini, provider libraries under laddr.llms | Doubao via Volcengine ARK, any OpenAI-compatible endpoint |
| Bring your own model | Yes | Yes |
| Local models | No | YesThe model block takes an arbitrary api_base with an openai provider, which covers a local OpenAI-compatible server; no local runtime is named in the README. |
| 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 | 341 | 345 |
Which one would each critic pick
| Critic | Laddr | VeADK | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 6.8 | 6.3 | Laddr — Pick it for genuinely parallel work across several specialists; pick Temporal if what you actually need is durable workflows with retries. |
| El Crítico | 6.3 | 6.0 | Laddr — Agents call tools you write in Python and no shell tool ships in the box, so the distance from pip install to working system is measured in your afternoons. |
| El Profesor | 7.0 | 6.5 | Laddr — Every agent action is recorded to SQLite or PostgreSQL with optional Langfuse spans, which makes the execution trace an artefact rather than a log line. |
| La Inversora | 6.0 | 6.0 | no preference |
| La Jefa | 5.0 | 5.5 | VeADK — No licence cost at sixty engineers, and a chat channel extension maps a messaging platform's threads onto agent sessions, which is where my data-residency questions start. |
| El Hacker | 7.0 | 7.0 | no preference |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.