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AliceLJY/recallnest

v1.4.0 Feature

This release adds 4 notable features for engineering teams evaluating rollout.

Published 2mo AI Agents & Assistants
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-agent ai-memory claude-code codex gemini hybrid-retrieval
+11 more
knowledge-graph knowledge-retrieval lancedb local-first long-term-memory mcp memory llm session-continuity transcript-search vector-db

Summary

AI summary

Fixed cross-language continuity recall so English prompts recover Chinese writing preferences.

Full changelog

RecallNest 1.4.0 focuses on continuity recall hardening, scope-aware retrieval, and cleaner cross-terminal startup behavior.

Highlights

  • Added scope-aware auto-recall and resolved-scope reuse across the continuity stack.
  • Expanded the continuity eval baseline to 13 cases and brought it back to full pass.
  • Fixed cross-language continuity recall so English writing prompts can recover Chinese writing preferences.
  • Added a scoped stable-entity guard to stop unrelated project entities from leaking into scoped startup context.
  • Introduced MCP tool-surface tiering and fixed stdio MCP startup logging so handshake output stays clean.

Validation

  • bun test
  • bun run eval:continuity # 13/13 pass, 94.1% average

Version

  • package.json / CLI / MCP server are now aligned at 1.4.0.
View diff on GitHub

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About AliceLJY/recallnest

Persistent memory MCP server for AI coding agents (Claude Code, Codex, Gemini CLI). Hybrid retrieval (vector + BM25), cross-encoder reranking, knowledge graph with PPR traversal, session checkpoint/resume, and multi-scope isolation. Local-first with LanceDB + SQLite, zero external dependencies.

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Related context

Beta — feedback welcome: [email protected]