Hamr·unloaded

No model loaded.

The chamber stays dormant until a local or API model is attached.

COREHamr
|
PROVIDERnone
|
STATEunloaded
|
CTX0 / 32768
core:unloaded
provider:none
state:unloaded
ctx:0 / 32768
Hamr·none·unloaded·0 / 32768

Multi-provider routing.

Local Relay. Cloud APIs. Anthropic Messages. OpenRouter. One agent loop routes reads, edits, and tool calls through any OpenAI-compatible endpoint.

Native tool-call parsers.

26 model families parsed natively. Qwen XML, Hermes JSON, Llama Pythonic, DeepSeek, Mistral — Hamr extracts tool calls from raw model output without vLLM normalization.

Contained, not chaotic.

Budget-aware context compaction. Observable runtime states. Verification lifecycle tracking. Failures are surfaced, not buried in noise.

Local models, real work.

Hamr is a local-first coding agent built for developers running open-weight models on consumer GPUs. It gives local, open, and low-cost models a stateful runtime — containment, tool execution, verification, and failure handling — plus native tool-call parsers that keep you independent of server-side normalization. Provider-compatible when you need a fallback, local-first by default.

→ Read the docs