AliceLJY/recallnest

v2.5.3 Breaking

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

Published 1mo AI Agents & Assistants

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✓ No known CVEs patched

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✓ 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

Added skill feedback loop and weekly-distill launchd retry with backoff.

Changes in this release

Type	Severity	Summary	CVE
Feature	Medium	Adds skill feedback loop binding observations to skill outcomes Adds skill feedback loop binding observations to skill outcomes Source: llm_adapter@2026-06-08 Confidence: high	—
Feature	Low	Adds weekly-distill launchd cold-start retry with self-healing backoff Adds weekly-distill launchd cold-start retry with self-healing backoff Source: llm_adapter@2026-06-08 Confidence: high	—
Bugfix	Medium	Improves memory pipeline and dual-machine sync reliability Improves memory pipeline and dual-machine sync reliability Source: llm_adapter@2026-06-08 Confidence: high	—
Refactor	Low	Removes internal audit document from public repository Removes internal audit document from public repository Source: llm_adapter@2026-06-08 Confidence: high	—

Full changelog

v2.5.3

Reliability and self-evolution improvements since v2.4.0.

Added

Skill feedback loop — workflow observations now bind to skill outcomes (success/failure counts), connecting recorded observations to skill execution.
weekly-distill — launchd cold-start retry with self-healing backoff.

Hardened

Memory pipeline and dual-machine sync reliability fixes.
Repository hygiene — removed an internal audit document that should not have been in a public repo.

(24 commits since v2.4.0.)

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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