Skip to main content
Glama
Sign In
Kibi

Kibi

by Looted
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to Kibi

Related Servers

  • Alethea

    fpavia111-creator
    A
    license
    B
    quality
    B
    maintenance
    Enables 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.
    7
    22 npm
    MIT

  • requ

    christiandrochon
    A
    license
    Not graded
    quality
    B
    maintenance
    Gives AI agents structured tools to maintain a living requirements traceability graph — requirements to user stories, cucumber scenarios, screens and phase results — so coverage and its trend across releases can be queried on demand and explored through a web dashboard.
    69 npm
    MIT

  • Axiom Meridian

    abeljumanuel
    A
    license
    A
    quality
    A
    maintenance
    Enables AI coding agents to query a team's institutional coding rules and lessons learned, resolving a project → framework → language → global scope hierarchy so only the entries relevant to the current task are returned instead of whole knowledge-base files. It also supports governed proposal approval, PR and feature audits, meeting-transcript extraction, optional semantic ranking, and access-controlled audit logging, while keeping Markdown files as the source of truth.
    28
    24 PyPI
    Apache 2.0

  • codebugs

    faxik
    A
    license
    A
    quality
    B
    maintenance
    Persistent code finding, requirements, and release tracker for AI assistants. Enables durable memory for code review findings, requirements, dependency blockers, parallel-agent coordination, and release milestones with minimal token overhead.
    83
    1
    MIT

  • beadless

    KuraPiee
    A
    license
    Not graded
    quality
    B
    maintenance
    Provides 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.
    7 npm
    MIT

  • gitmem

    KuraPiee
    A
    license
    Not graded
    quality
    C
    maintenance
    Gives 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
Deploy Server
Claude Code, inside the Godot 4 editorFlockbay puts an AI agent in the real Godot 4 editor: it writes GDScript, runs your game and fixes what breaks. Free, or bring your own Claude Code or Codex.flockbay.comAd

TDQS

A4.1/5.0

Scored across 16 tools

Disambiguation4/5

The surface has several clusters that could be confused (kb_query vs kb_search vs kb_graph; kb_check vs kb_coverage vs kb_find_gaps vs kb_status; kb_model vs kb_compile_intent vs kb_plan_bootstrap). However, the descriptions explicitly cross-reference each other with 'use X instead of Y' guidance, making the boundaries clear to an attentive agent. Minor overlap remains but is well managed.

Naming Consistency4/5

All names share a consistent kb_ prefix and snake_case formatting, which is predictable. The only deviation is a mix of verb-style names (kb_query, kb_delete, kb_upsert) and noun-style names (kb_graph, kb_status, kb_skills), but each is readable and purposeful.

Tool Count4/5

Sixteen tools is slightly above the ideal range but justified by a genuinely broad domain spanning query, traversal, mutation, planning, validation, coverage, proof ingestion, and review preparation. No tool appears redundant enough to clearly warrant removal, though the set is on the heavy side.

Completeness4/5

The surface covers the full KB lifecycle: read (query/search/graph/status), write (upsert/delete), plan-and-apply (bootstrap/compile/apply), validation and coverage (check/find_gaps/coverage/model), plus proof ingestion, impact review, and skills. Few obvious gaps remain beyond possible bulk import/export or direct schema management, which are minor.

Maintenance

ActivityActive
ResponsivenessSyncing

Resources