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alibaizhanov/mengram

v2.22.0 Feature

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

✓ 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 ai-memory claude-desktop cognitive-architecture cohere
+14 more
cursor-ai episodic-memory knowledge-graph letta-alternative llm-memory mcp-server mem0-alternative model-context-protocol multilingual-embeddings pgvector procedural-memory python llm semantic-search

Summary

AI summary

Every API response now includes X-Quota-* headers exposing usage limits and consumption.

Full changelog

What's New

Quota Usage Headers

Every API response now includes X-Quota-* headers so SDKs can show usage proactively:

X-Quota-Add-Used: 47
X-Quota-Add-Limit: 1000
X-Quota-Search-Used: 312
X-Quota-Search-Limit: 10000

Both Python and JS SDKs expose a .quota property:

m.search("test")
print(m.quota)  # {"add": {"used": 5, "limit": 30}, "search": {"used": 12, "limit": 100}}

Intelligence Dashboard

  • Value Mirror — shows accumulated intelligence data on quota banners
  • Intelligence Dashboard in the console

Other

  • Mobile layout fixes for Reddit WebView
  • Landing page copy improvements

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About alibaizhanov/mengram

Human-like memory layer for AI agents with semantic, episodic, and procedural memory. Claude Code hooks (auto-save, auto-recall, cognitive profile). 29 MCP tools, knowledge graph, smart triggers, multi-user isolation. Python & JS SDKs.

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Related context

Beta — feedback welcome: [email protected]