“Agent memory”

AI agent memory: task tracking, scoped work packages, decisions, and cross-session continuity

Self-correcting agent memory + MCP server: recall, supersede/revert/review corrections, erasure.

kala memory over MCP: provenance-first agent memory with Datalog recall and as-of time travel.

Memory your agent can trust — every answer carries its source; when it doesn't know, it says so.

Local-first, source-traceable agent memory — no LLM at ingest, fully offline

Adaptive memory for AI agents — FAISS search, chat extraction, cross-project linking

Read-only MCP bridge for alethech — verifiable, Ed25519-signed agent memory over stdio.

Local persistent memory for AI agents: SQLite + FTS5 (BM25) lexical search, zero external infra.

Local-first governed MCP memory backend for coding agents.

Local-first knowledge engine for AI agents: memory, graph, and recall.

Token-lean memory for AI agents: a knowledge graph searched cheaply.

Event-sourced, auditable agent memory over MCP: cited checkout, replayable provenance.

Git-aware memory store for AI coding agents; memories are anchored to git blob hashes.

Shared, persistent memory for AI agents — works with Claude, Kiro, Cursor, or any MCP client.

Persistent file-based memory for AI agents: inspectable, versionable, fully local.

Lightweight MCP for infinite agent memory.

Local-first agent memory that preserves what happened, when and why

Local-first agent memory.

Agent memory engine — 106 MCP tools, self-hosted, single Rust binary

Neuro-inspired long-term memory for AI agents with semantic graph and consolidation.

Offline codebase knowledge graph: 91% token reduction vs naive RAG, plus cross-session agent memory.

Long-term memory for agentic tasks.

Agent memory where every fact carries a receipt, and deletion is provable.

Durable agent memory over a markdown vault: bitemporal facts, timelines, hybrid graph search.