redhat-et / redhat-et/docsclaw
feat: contribute DocsClaw as Go-based example to kagenti/agent-examples
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- Dominant language
- Go
- Stars
- 2
- Forks
- 1
- Avg merge
- 6h 9m
- Merged PRs (30d)
- 1
Description
Summary
Contribute a DocsClaw-based agent example to the
kagenti/agent-examples
repository, demonstrating a Go-based alternative to the Python agents.
Motivation
All current kagenti agent examples use Python with various
frameworks (LangGraph, AG2, CrewAI, Marvin). DocsClaw can
replace 6 of the 10 agents with configuration alone — different
ConfigMaps, same 10 MiB binary. This demonstrates:
- Single runtime, multiple personalities (vs. framework per agent)
- 10 MiB per pod vs. 200-500 MiB for Python agents
- No framework choice paralysis — config-driven behavior
Approach
Start by reproducing the Generic Agent — it's the most
flexible example and shows dynamic tool loading. A DocsClaw
ConfigMap with the same system prompt and MCP tool connections
would produce equivalent behavior.
Depends on
- #2 (MCP client integration) — needed to connect to the same
MCP tool servers the Python agents use
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the Generic Agent example in kagenti/agent-examples and the DocsClaw configuration described in this issue. Check issue #2 for MCP client integration and reproduce the Generic Agent's system prompt and MCP tool connections; done means a working Go-based example in the target repository with equivalent behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- go
- Domain
- ai, backend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100