EleSync
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Alternatives to EleSync
- AlicenseAqualityAmaintenanceLocal-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.125Apache 2.0
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- AlicenseNot gradedqualityAmaintenanceLocal-first, file-based memory layer for AI agents — one shared Markdown vault across Claude, Codex, Gemini, Cursor and any MCP client. Provides read/write memory tools with an audit trail, per-agent trust levels, and Git sync; no cloud and no lock-in.2MIT
- AlicenseNot gradedqualityBmaintenancePortable AI memory that roams with you across models and harnesses — one shared memory for Claude Code, Codex, Cursor, Gemini CLI and more, stored as plain markdown files you own. Per-project spaces plus a shared layer, vault-wide search; runs locally over stdio/HTTP or hosted with OAuth 2.1 backed by your own GitHub repo.43 npmMIT
- AlicenseAqualityAmaintenanceThe open-source, self-organizing memory for all your AI tools. Persistent memory over MCP (remember, recall, observe): background agents extract entities, resolve conflicts, and keep cited syntheses current in an append-only, encrypted, single-tenant vault.36AGPL 3.0
- FlicenseNot gradedqualityDmaintenancePortable AI memory vault — save memories, skills, and configs to a local database and share them across Claude Desktop, Claude Code, Cursor, Cline, and more.1-
- AlicenseNot gradedqualityAmaintenanceA local-first CLI and MCP server that helps you build and search a personal knowledge vault from Markdown notes, with semantic search and AI-powered features like stale note detection and session memory harvesting. It’s provider-agnostic, requires no GPU in its default mode, and exposes your vault as long-term memory to any MCP-compatible AI tool like Claude Code.47Apache 2.0
- AlicenseBqualityBmaintenancePersistent memory for AI agents built on the LLM Wiki pattern: a plain-Markdown brain (also a valid Obsidian vault) with SQLite metadata, local semantic search via fastembed (no API keys), one-call session context with project auto-detection, and a decision log with rationale. Works with Claude Code, Claude Desktop, Cursor, and any MCP client.31MIT
TDQS
Scored across 12 tools
Each tool has a distinct purpose: project_context vs recall_project, remember vs save_project_document, and memory-specific tools (forget, history, find_conflicts) are clearly separated. No overlaps that could confuse an agent.
Naming is inconsistent: some tools use verb-first patterns (recall, list, save, remember, forget), while others are noun-first or standalone nouns (project_context, memory_status, history, audit_log). The mix of underscore and single-word forms (e.g., list_scopes vs recall_project) further reduces predictability.
12 tools is a reasonable number for a server that combines memory management and project context. It covers the core operations without being overwhelming, though a few could potentially be merged.
Memory operations are well covered (create, read, update via supersedes, delete, search, status, audit). However, project tools lack update/delete capabilities for projects and documents, leaving a notable gap in lifecycle management.