
waku-agent introduces 95-line Python AI harness
waku-agent is a lightweight, open-source personal AI assistant harness implemented in just 95 lines of plain Python code. Designed for transparency and local execution, it incorporates a retrieval gating mechanism that filters out irrelevant memory lookups, reducing context bloat and token consumption while speeding up decision-making cycles.
Complex AI agent frameworks often over-engineer simple tasks; lightweight, inspectable harnesses prove that effective memory gating can be built with minimal code overhead.
- –Demonstrates how a complete agent harness with gated memory lookups can fit in under 100 lines of readable Python.
- –Retrieval gating prevents irrelevant context from cluttering LLM prompts, improving latency and lowering token costs.
- –Provides a clear reference implementation for developers building transparent, local-first personal AI assistants.
DISCOVERED
46d ago
2026-08-05
PUBLISHED
46d ago
2026-08-05
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