mnema
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- AlicenseNot gradedqualityBmaintenanceThe decision system for agentic engineering: keeps your project's decisions, rationale, and rejected paths in plain files and surfaces them to AI coding agents before they plan or change code.11Apache 2.0
- AlicenseBqualityBmaintenanceEnables coding agents to persist and retrieve ADR-style decisions and machine-checkable constraints as git-friendly markdown in a repository, linked to requirement ids, tests and commits. Agents can pull relevant context before a task, check a proposed change against accepted constraints before committing, and record, supersede or search decisions over a local stdio connection.740 npmMIT
- AlicenseAqualityBmaintenanceEnables AI clients to append durable, content-hashed records of each decision to an owner-controlled markdown notes folder, then recall them across sessions and across different tools with their dates, project provenance, and the exact note versions cited. Records are append-only and searchable by full text, topic stance, or recent activity, so past conclusions can be revisited without relying on an ephemeral session.3514 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables a coding agent to keep a persistent, self-signed record of itself through stdio tool calls: waking to read back its positions, pending decisions and recent entries, pushing signed notes, decisions and outcomes, spawning sub-agents that start from its own record, and exporting the whole signed record for offline checking. Everything is signed locally with the agent's own key, so it works inside a sandbox with no shell network.14 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to read and manage a Git-native decision ledger, providing tools for querying decisions, evidence, cross-repository workspaces, validation, and commit tracing, all operating locally and without a cloud service.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI coding sessions to persist the reasoning behind work — decisions and their justifications, rejected options, side findings and nuances — as append-only Markdown records with reversible review, archive and human-confirmed purge. Retrieval scores records against the current task and returns only a short, budgeted list of hits, with full text fetched on demand, plus optional session hooks and handoff support.MIT
TDQS
Scored across 27 tools
Each entity kind has its own record/create/transition trio, and the read tools are explicitly cross-referenced (governing_rules vs rules_before_an_edit, search vs read_record, bootstrap vs resume vs focus). The remaining friction is mild: capture_memory vs record_observation vs record_handoff all 'write a fact' and only the descriptions separate them, and the three opening-context readers (bootstrap/focus/resume) need careful reading to pick correctly.
Three conventions coexist: verb_noun (capture_memory, record_decision, read_record, audit_timeline), noun_verb (task_transition, decision_transition, skill_transition), and bare nouns (bootstrap, skills, focus, resume, search, guard, next_actions, governing_rules). Creation verbs also vary without reason — capture vs record vs create — so an agent cannot infer the pattern for a new entity kind.
27 tools is heavy for a single server and sits above the comfortable band, even for a domain this broad (five entity kinds, a workflow gate, run/session views, and a whole audit family). Several audits (exposure, accountability, antipatterns) are legitimate but push the surface past what most agents will hold in mind at once.
Coverage is genuinely lifecycle-complete: create plus gated transitions for tasks, decisions and skills; record plus signed retraction for notes and links; indexing, full read, linkage and history traversal; and explicit bootstrap/resume entry points. The known gaps are deliberate (no delete, append-only) but run lifecycle is CLI-only ('mnema run end') and there is no dedicated task/decision listing tool beyond bootstrap and search.