This release fixes issues for SREs watching stability and regressions.
Published 1mo
MCP Developer Tools
✓ No known CVEs patched
✓ No known CVEs patched in this version
Topics
agent-memory
ai-memory
claude
claude-code
codex
cursor
+14 more
encrypted
episodic-memory
gemini
llm-memory
local-first
long-term-memory
mcp
mcp-memory
mcp-server
model-context-protocol
persistent-memory
rag-alternative
sqlite
vector-db
Affected surfaces
breaking_upgrade
Summary
AI summaryFixed silent failure of migrate --reembed-from-text on bulk-loaded stores, now correctly re-embeds records.
Full changelog
Fixed
migrate --reembed-from-textrepaired nothing on bulk-loaded stores. The version added in v1.1.3 fetched each record through a path that returned nothing on stores populated in bulk, so it re-embedded zero records and exited reporting success — a silent no-op. It now reads records directly, actually re-embeds from the stored text, and is resumable with bounded memory use.
If you ran the migration on v1.1.3, run it again on v1.1.4 — your vectors were not repaired:
iai-mcp migrate --reembed-from-text
Throughput is embedder-bound (no batch speedup yet), so a large store takes a while; the run is resumable and reports progress.
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About CodeAbra/iai-mcp
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Earlier breaking changes
- v1.0.0 Removes previous embedded vector database, PyTorch embedding stack, and third‑party GPL/graph libraries.
- v0.4.0 Hook log marker format changed from 'cache-hit fresh' to 'cache-hit age='
- v0.4.0 Deferred-capture retry replaces old rename-once-and-skip behavior
- v0.4.0 Removed 24-hour staleness cap from session-recall hook
- v0.2.0 IAI_MCP_EMBED_QUANTIZE accepts only int8 (lowercase) or unset; other values crash daemon at startup.
Beta — feedback welcome: [email protected]