A network of agentic research specialists coordinated by a principal investigator agent. V1: web-search researcher MCP server + CLI shim.
c0d4f391b6
Replace 'Budget exhausted: True/False' with 'Budget status: spent / under cap' in the Confidence panel. The previous wording read as a failure indicator when in practice 'exhausted' just means the agent spent its tool-use cap before voluntarily stopping — the normal, expected outcome on real questions with the default 20k budget. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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| obs | ||
| orchestrator | ||
| researchers | ||
| scripts | ||
| tests | ||
| .dockerignore | ||
| .gitignore | ||
| CLAUDE.md | ||
| CONTRIBUTING.md | ||
| Dockerfile | ||
| pyproject.toml | ||
| README.md | ||
Marchwarden
A network of agentic research specialists coordinated by a principal investigator agent.
Marchwarden researchers are stationed at the frontier of knowledge — they watch, search, synthesize, and report back what they find. Each specialist is self-contained, fault-tolerant, and exposed via MCP. The PI agent orchestrates them to answer complex, multi-domain questions.
V1: Single web-search researcher + CLI shim for development.
V2+: Multiple specialists (arxiv, database, internal docs, etc.) + PI orchestrator.
Quick start
# Clone
git clone https://forgejo.labbity.unbiasedgeek.com/archeious/marchwarden.git
cd marchwarden
# Install
pip install -e .
# Ask a question
marchwarden ask "What are ideal crops for a garden in Utah?"
# Replay a research session
marchwarden replay <trace_id>
Docker test environment
A reproducible container is available for running the test suite and the CLI without depending on the host's Python install:
scripts/docker-test.sh build # build the image
scripts/docker-test.sh test # run pytest
scripts/docker-test.sh ask "question" # run `marchwarden ask` end-to-end
# (mounts ~/secrets ro and ~/.marchwarden rw)
scripts/docker-test.sh replay <id> # replay a trace from ~/.marchwarden/traces
scripts/docker-test.sh shell # interactive bash in the container
Documentation
- Architecture — system design, researcher contract, MCP flow
- Development Guide — setup, running tests, debugging
- Research Contract — the
research()tool specification - Contributing — branching, commits, PR workflow
Status
- V1 scope: Issue #1
- Branch:
main(development) - Tests:
pytest tests/
Stack
- Language: Python 3.10+
- Agent framework: Anthropic Claude Agent SDK
- MCP server: Model Context Protocol
- Web search: Tavily API
License
(TBD)