GoodMemory
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Alternatives to GoodMemory
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- AlicenseNot gradedqualityBmaintenanceEnables Claude Code, Codex and other MCP agents to share one bounded, persistent memory across sessions, so a session starts from what earlier sessions learned instead of re-reading the repository. Storage and retrieval run locally on SQLite full-text search with per-client tokens and scopes, and optional local model enrichment, without any paid model in the path.1MIT
- AlicenseCqualityBmaintenanceLocal-first, governable long-term memory for AI agents. Provides SQLite-backed storage, cross-session recall, and traceable memory corrections through a standard MCP interface.4036 PyPI1MIT
- AlicenseNot gradedqualityFmaintenanceLocal-first, auditable memory for AI agents. Provides durable context for MCP hosts with SQLite storage, CLI, and MCP tools for memory management.2Apache 2.0
- AlicenseNot gradedqualityCmaintenancePersonal, remotely hosted memory service for Claude, Codex, and other MCP clients that preserves research, project state, and decisions in an auditable revision store with a web UI.47 npm1MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI coding agents to store, search, and retrieve persistent local-first memory — project-specific decisions, preferences, error patterns, and research plus cross-project guidelines — so context survives across sessions without any external API calls. Optionally also exposes a task queue for autonomous execution and GitHub issue resolution in MCP clients such as Claude Code, OpenCode, and Goose.-
- AlicenseNot gradedqualityAmaintenancePersistent, auditable memory for AI agents. Hybrid BM25 + vector recall with 18 MCP tools, adaptive block metadata (A-MEM), intent-aware routing, contradiction detection, and governance workflows. Zero external dependencies. Drop-in memory for Claude Code and any MCP-compatible agent.121 PyPI22Apache 2.0
TDQS
Scored across 8 tools
Most tools have clearly distinct purposes: primary recall, progressive recall, and diagnostics are separated. However, goodmemory_search_index and goodmemory_get_context both serve recall and could be confused, though the descriptions clarify their different use cases.
All tools share the goodmemory_ prefix and use snake_case, with mostly verb_noun patterns (get_context, inspect_memory, trace_recall, get_records, read_artifacts). Two tools (timeline, stats) are noun-only, creating slight inconsistency, but the overall pattern is predictable.
At 8 tools, the count is well-scoped for a memory system. Each tool has a distinct role, and the count feels appropriate without being excessive or thin.
The tool set focuses heavily on reading and diagnostics but lacks a core writing tool (goodmemory_remember is referenced in descriptions but not exposed). No update, delete, or list-all capability is present, which is a significant gap for a memory system.