Abhigyan-Shekhar/Waggle-mcp

v0.1.17 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 28d MCP Developer Tools

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✓ 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 changed, Install in Codex, and Included assets across a mixed release.

Full changelog

Codex Marketplace Release

This release publishes the first complete Waggle Codex marketplace bundle and plugin bundle for direct installation in Codex.

Install in Codex

Download waggle-codex-marketplace-v0.1.17.zip from this release.
Extract it locally.
Run:

codex plugin marketplace add /path/to/waggle-codex-marketplace-v0.1.17

Refresh plugins in Codex and install Waggle from the added marketplace.

If you only want the bare plugin folder, use waggle-codex-plugin-v0.1.17.zip instead.

Included assets

waggle-codex-marketplace-v0.1.17.zip
waggle-codex-plugin-v0.1.17.zip
SHA-256 checksum files for both bundles
claude-desktop-extension.mcpb

What changed

Fixed the Codex bundled runtime release workflow across all supported targets.
Trimmed bundled runtime dependencies to keep startup and packaging stable.
Raised the enforced Codex runtime size gate to fit the actual cross-platform runtime payload.
Fixed Linux runtime packaging to pass validation.
Fixed Codex bundle packaging in GitHub Actions so release assets publish correctly.
Kept release signing steps non-blocking when Apple or Windows signing secrets are not configured.

Notes

v0.1.16 was a partial release and should be ignored for Codex marketplace installs.
v0.1.17 is the first complete release with the published Codex marketplace artifacts.

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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