goldfish
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Alternatives to goldfish
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Related Servers
- AlicenseNot gradedqualityBmaintenanceA local-first MCP server that gives AI coding agents a persistent code map and memory, so they can retrieve relevant code with exact file:line pointers and rationale instead of re-reading files. It also lets agents save findings for future sessions and flags notes as stale when referenced files change.4Apache 2.0
- AlicenseAqualityCmaintenanceProvides persistent memory for AI coding agents via MCP, enabling teams to share and recall facts across sessions. Automatically captures, classifies, and curates knowledge from supported transcript sources.1834 npm1AGPL 3.0
- AlicenseNot gradedqualityBmaintenanceGives coding agents a persistent memory by searching a local, read-only index of existing markdown and letting them write findings back as notes that the next session can retrieve. It serves ranked, context-sized results over MCP, injects standing conventions at session start, and keeps data on your machine with secret redaction and archive-only deletion.151 PyPIMIT
- 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.10 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-- AlicenseAqualityCmaintenanceA local MCP server that lets coding agents persist decisions, conventions and gotchas across sessions and recall them with ranked search. Each memory is anchored to the files it describes, so recall flags it as stale when that code changes, and secrets are redacted before anything is stored.53MIT
TDQS
Scored across 7 tools
The seven tools map onto three distinct memory tiers (raw transcript, session summaries, curated notes), and read/write roles for notes are cleanly split between goldfish_recall and goldfish_remember. The main overlap is goldfish_search vs goldfish_reflect, which both query brain transcript history; descriptions differentiate them (reflect is restricted to role='user' and pattern-oriented), but an agent could still misselect between them.
All tools use a consistent goldfish_ prefix with snake_case, which is highly predictable. However, the suffix is a mix of verbs (search, recall, remember, reflect) and resource nouns (context, persona, status), so it is not a strict verb_noun pattern.
Seven tools is well-scoped for a three-tier memory server, with each tool earning its place across search, summarization, note read/write, reflection, aggregation, and health. No obvious redundancy or bloat.
The surface covers read/search, write, aggregation, and health across all three memory tiers. The one notable gap is the absence of a delete/prune or update operation for curated notes, despite the descriptions explicitly saying insights should be revisited and pruned over time.