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alibaizhanov/mengram

v2.21.0 Breaking

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

✓ 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

Agent mode auto‑enables memory extraction when agent_id is present.

Full changelog

What's New

Agent Mode

  • agent_mode parameter for /v1/add — extract memories from all speakers (user + assistant). Auto-enabled when agent_id is present.

Provenance Tracking

  • source and metadata parameters on all memory types — track where memories came from (Slack, email, etc.).

CrewAI Integration

  • MengramMemory drop-in backend for CrewAI agents.

Recall Quality Overhaul

  • 8 search pipeline improvements: stricter relevance floor, dedup, auto-reclassify
  • Free-form entity types (removed hardcoded 7-type enum)
  • Speaker disambiguation in extraction
  • dry_run mode for /v1/add with A/B testable prompt versions

Other

  • Annual pricing with 20% discount
  • 80% quota warning emails
  • Growth plan ($49/mo) between Pro and Business
  • BM25 ranking improvements (ts_rank_cd with normalization)

Bug Fixes

  • Fix Claude Code hooks silently swallowing quota errors
  • Fix API key revoke NaN bug
  • Fix surrogate characters in search cache key
  • Adaptive min_rrf threshold for search scoring

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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]