Project Memory
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Alternatives to Project Memory
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- AlicenseNot gradedqualityCmaintenanceProvides local, evidence-aware research memory with human review, revision history, and an inspector, allowing assistants to preserve source reports, inferences, assumptions, and evidence across sessions.4 npmMIT

ideate MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceEnables AI-augmented software delivery through an append-only process record, with hooks for capturing decisions, session outcomes, and commit boundaries, and provides session priming with recency-based context.AGPL 3.0- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to store, query, and update persistent project knowledge as a local, Git-friendly knowledge graph, providing structured memory across sessions.9Apache 2.0
- AlicenseNot gradedqualityBmaintenanceGives AI assistants persistent, queryable project memory for decisions, patterns, and rules, reducing the need to re-explain context in every prompt.11Apache 2.0
- AlicenseNot gradedqualityCmaintenanceGives AI coding agents persistent, branch-aware memory and a dependency-tracked task graph by storing decisions, lessons, and tasks as plain JSON and Markdown committed directly into the repository. Agents can record and fuzzy-search past decisions, dump instant project context, and create, claim, complete, and query tasks whose completion automatically unblocks downstream work.MIT
- AlicenseNot gradedqualityDmaintenanceA local AI memory system that stores all conversations verbatim and organizes them into navigable structures. It provides 19 MCP tools for AI assistants to search and retrieve past decisions, debugging sessions, and architecture debates automatically.MIT
TDQS
Scored across 3 tools
memory_write is clearly the append/write tool and memory_get is the general read tool, so the main risk is between memory_get and memory_context, which both retrieve evidence. However, memory_context is explicitly scoped to bounded subject search while memory_get handles IDs, views, schemas, and continuation, so an agent can usually pick correctly.
memory_write and memory_get follow a consistent memory_<verb> pattern, but memory_context is a noun/area rather than a verb, breaking the pattern. The shared prefix and lowercase snake_case keep it readable and only mildly inconsistent.
Three tools is well within the ideal range for a memory server: one write path, one general read path, and one contextual search path. The large number of operations inside memory_write is a design choice, but as a tool count the set is appropriately scoped.
The append-only write tool covers records, sources, plans, decisions, checkpoints, and reviews, and memory_get exposes rich views including coverage and reviews. The only notable gap is that lesson approval is referenced as a separate lesson_review operation that is not present in the MCP tool set, leaving a minor lifecycle dead end.