Skip to content

Abhigyan-Shekhar/Waggle-mcp

v0.1.12 Breaking

This release includes breaking changes for platform teams planning a safe upgrade.

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

Fixed prime_context KeyError on non‑embeddable seed nodes.

Full changelog

Changes

  • added README prompt instructions for automatic Waggle tool usage
  • removed public MIT/license metadata from the package and pointed package URLs at PyPI
  • added Render deployment compatibility via PORT fallback and render blueprint config
  • documented install failure troubleshooting
  • fixed prime_context KeyError on non-embeddable seed nodes
View diff on GitHub

Weekly OSS security release digest.

The CVE patches and breaking changes that affected production tools this week. One email, every Sunday.

No spam, unsubscribe anytime.

Share this release

Share on X Share on Bluesky

Track Abhigyan-Shekhar/Waggle-mcp

Get notified when new releases ship.

Sign up free

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?")

All releases →

Related context

Beta — feedback welcome: [email protected]