CodeAbra/iai-mcp

v2.0.0 Breaking

This release includes 1 breaking change for platform teams planning a safe upgrade.

Published 16d MCP Developer Tools

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✓ No known CVEs patched

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✓ 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

ReleasePort's take

Light signal

editorial:auto 11d

The release swaps the Python/hnswlib backend for a new Rust‑based storage and graph engine and introduces a desktop dashboard for live memory graph interaction.

Why it matters: Affects storage, graph processing, and monitoring; triggers evaluation of performance and security post‑migration to Rust components.

Summary

AI summary

New Rust‑based storage and graph engine replaces Python/hnswlib, introducing a desktop app with live memory graph monitoring.

Changes in this release

Type	Severity	Summary	CVE
Feature	Medium	Adds desktop app providing a local, loopback‑only dashboard for live memory graph interaction. Adds desktop app providing a local, loopback‑only dashboard for live memory graph interaction. Source: llm_adapter@2026-07-15 Confidence: high	—
Feature	Medium	Adds new memory operations: document study/teach, anticipatory foresight packs, and combined lexical + semantic search. Adds new memory operations: document study/teach, anticipatory foresight packs, and combined lexical + semantic search. Source: llm_adapter@2026-07-15 Confidence: high	—
Dependency	Low	Drops remaining GPL‑adjacent dependencies; project now ships its own storage and graph engines under MIT. Drops remaining GPL‑adjacent dependencies; project now ships its own storage and graph engines under MIT. Source: llm_adapter@2026-07-15 Confidence: high	—
Refactor	High	Replaces Python/hnswlib backend with new Rust storage and graph engine. Replaces Python/hnswlib backend with new Rust storage and graph engine. Source: llm_adapter@2026-07-15 Confidence: high	—

Full changelog

What's new in v2.0.0

New Rust storage and graph engine — replaces the previous Python/hnswlib backend. Existing stores migrate automatically on first run, no manual steps.
Desktop app — a local, loopback-only dashboard to watch the memory graph live, add a memory, and hint records into the forgetting queue.
New memory operations — document study/teach, anticipatory foresight packs, and combined lexical + semantic search.
Dropped the last GPL-adjacent dependencies; the project now ships its own storage and graph engines under MIT.

Windows support is beta. See CHANGELOG.md for details.

Breaking Changes

Replaced Python/hnswlib storage and graph backend with a new Rust implementation; existing stores migrate automatically on first run.

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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.