bikky
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- AlicenseNot gradedqualityCmaintenanceProvides AI coding agents with deterministic, attestable org memory via an MCP server, enabling automatic recall of relevant facts on every prompt, loss-proof capture of learnings, and curated promotion of verified facts to a tenant-isolated memory store.Apache 2.0
- FlicenseNot gradedqualityCmaintenanceEnables AI coding agents and IDEs to capture conversations, extract structured knowledge into a queryable graph database, and recall past decisions, patterns, files, and errors across all projects and workspaces. Provides persistent memory tools for saving, searching, and cleaning up knowledge via MCP.2-
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to share persistent memory by capturing, classifying, synthesizing, and retrieving knowledge from sources like Obsidian, code, and transcripts via MCP and REST APIs. Provides token-optimized search, three-tier memory, and self-learning capture of sessions and fixes so multiple agents can build on prior context.5 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to capture, classify, synthesize, and retrieve persistent shared knowledge from sources such as Obsidian, code, transcripts, bookmarks, and sessions. It provides token-efficient search, context briefings, and tiered memory through MCP and REST APIs.5 npmMIT

MemForgeofficial
FlicenseNot gradedqualityBmaintenanceGives AI agents a shared, cited memory of team knowledge built from docs, tickets, chat and confirmed decisions, exposing search, memory retrieval and source lookup over MCP. Agents can recall relevant conventions and evidence, and save new memories after user confirmation, across Claude Code and Codex sessions.97-- AlicenseNot gradedqualityAmaintenanceGives AI agents persistent, shared memory by ingesting notes, code, transcripts, and session captures, then serving token-optimized context and hybrid keyword/semantic search over MCP and REST. Agents can classify, promote, and synthesize stored material so each session builds on prior work instead of starting from zero.5 npmMIT
TDQS
Scored across 18 tools
Each tool has a clearly distinct purpose, ranging from setup and verification to memory storage, recall, maintenance, and pause/resume. Descriptions are detailed and explicitly clarify when to use each tool, preventing confusion.
Core memory tools follow a consistent 'memory_' prefix pattern, but setup tools like 'get_setup_status' and 'configure_credentials' break this pattern. The mix is minor and still readable, but not perfectly uniform.
18 tools is substantial but warranted given the comprehensive coverage of memory lifecycle and maintenance operations. It's slightly on the heavy side but each tool earns its place.
The tool set covers the entire memory lifecycle: setup, storage, retrieval, relation queries, forgetting, verification, feedback, session summaries, distillation, and pause/resume. No obvious gaps.