codebugs
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- AlicenseNot gradedqualityBmaintenanceProvides persistent, searchable memory and knowledge capture for AI-assisted development, enabling agents to retain decisions, bugs, and patterns across sessions and projects.MIT
- 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
- AlicenseAqualityCmaintenancePersistent shared memory for AI coding agents. Stores facts as entity/key/value triples with hybrid semantic search, task checkpoints, and conflict resolution — shared across Claude Code, Codex CLI, and GitHub Copilot.16235 npm5AGPL 3.0
- AlicenseNot gradedqualityBmaintenanceProvides AI coding agents with git-native persistent memory and a dependency-aware task graph, letting them record and fuzzy-recall architectural decisions, lessons, and gotchas while creating, claiming, and completing tasks that auto-unblock downstream work. Stores everything as plain JSON and Markdown committed inside the repository, so context stays branch-aware, team-shared, and reviewable in pull requests.10 npmMIT
- AlicenseNot gradedqualityDmaintenanceProvides AI coding assistants with persistent project memory to retain architectural decisions, code patterns, and domain knowledge across sessions. It stores data locally in a SQLite database, allowing agents to remember, recall, and manage project-specific context using full-text search.3 npmApache 2.0
- AlicenseAqualityCmaintenanceGives AI coding agents persistent, evolving knowledge about a codebase, enabling them to store and retrieve observations about architecture, conventions, gotchas, and recent work context.105 npm3MIT
TDQS
Scored across 83 tools
Domain prefixes (reqs_, milestone_, blockers_, codemerge_, codebench_, codesweep_, grouping_, relations_, anchor_) make most tools' purposes clear at a glance, and overlapping-sounding pairs like codebench_query vs reqs_query are cleanly separated by prefix. A few genuinely confusable pairs remain: milestone_defer and blockers_add are two different mechanisms for deferring an item; mark_integrated and milestone_set_status both record completion; and claims_claim vs codemerge_claim use the same verb for two different claim systems.
The dominant pattern is consistent verb_noun within prefixed domains (milestone_create, milestone_move_item, codesweep_archive_items, relations_unrelate), and the code* family is uniformly codemerge_/codebench_/codesweep_. The main flaw is a two-tier system: core finding tools are unprefixed (add, get, query, update, stats, summary) while every other domain is prefixed, and there are verb/noun collisions such as claims_claim, codemerge_claim (verb) vs codemerge_claims (noun).
83 tools is more than three times the 25+ 'too many' threshold, creating a heavy tool-selection surface for any agent even with good organization. The server bundles nine distinct subdomains (findings, requirements, milestones, blockers, claims, triage, merge sessions, benchmarks, sweeps) that would typically be split across separate servers. Each tool does earn its place within its own subdomain, so the count is excessive rather than chaotic.
Every subdomain has near-complete lifecycle coverage: findings and requirements have create/read/update/analytics plus verification and embedding; milestones, blockers, claims, codemerge, and sweeps all have full workflows including audit and repair paths. The absence of hard delete is a deliberate audit-trail design, with status-based retirement covering removal. The one notable gap is that categories_normalize references export-csv/restore-csv backup tools that are not exposed in the MCP surface.