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Abhigyan-Shekhar/Waggle-mcp

v0.1.9 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 1mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agent-memory ai-agents graph-memory knowledge-graph llm-memory mcp
+2 more
mcp-server python

Summary

AI summary

Updates What's new, PyPI, and https across a mixed release.

Full changelog

What's new

  • Add waggle-mcp ingest-transcript-handoff for rollover transcript ingestion and session-scoped handoff export.
  • Fix append-only reruns, trailing-user completion, evidence turn indexing, and export failure handling in transcript handoff ingestion.
  • Improve temporal retrieval for queries about current/latest/original state.
  • Document automatic Waggle memory setup for Codex and Antigravity, including reusable rule text.
  • Publish PyPI package waggle-mcp 0.1.9.

PyPI

  • https://pypi.org/project/waggle-mcp/0.1.9/
View diff on GitHub

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About Abhigyan-Shekhar/Waggle-mcp

Persistent graph memory for AI agents. Drop a conversation turn in via `observe_conversation()` and facts are auto-extracted, stored as typed graph nodes with local semantic embeddings (no API key). Supports temporal queries ("what did we decide last week?")

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Related context

Beta — feedback welcome: [email protected]