The system of record and control plane for AI coding agents. Keeps their memory correct, current, and safe to act on as the code moves, captures what code can't say on its own, and gates what agents are allowed to do. Retrieves by path, semantic search, and relationship (code-graph).
Skill Claude CodeCodex
Initialize or repair the Agents Remember memory root for a target repository. Defaults to repo-local internal memory; creates an external memory repo only when the developer explicitly asks for external memory.
Skill Claude CodeCodex
Capture confirmed findings, route them to the right durable task-local path, and propagate factual current-state clarifications into onboarding immediately when allowed.
Skill Claude CodeCodex
Control Agents Remember memory quality with task-start drift checks, pre-code-commit missing-onboarding checks, and closeout memory quality gates.
Skill Claude CodeCodex
Bootstrap onboarding for undocumented repos or existing memory slices. Builds root overviews, route-local overview pillars, evidence packs, file cards, onboarding waves, deleted-slice cleanup, curator reviews, and handoff while keeping the orchestrator thin.
Skill Claude CodeCodex
Choose retrieval strategies across memory substrates: semantics for known concepts with unknown structure, relationships for known anchors with unknown connections, and intent for hidden contracts and code truths.
Skill Claude CodeCodex
Create and maintain file-level onboarding and repo entity catalogs. Enforces strict 1-to-1 source mapping, governing overview links, metadata, and references, and routes package/module/source-slice create, refresh, move, or delete cases to the c-03-repo-bootstrap skill.
Skill Claude CodeCodex
Resolve the active Agents Remember context for a target repository, including topology, coordination root, memory root, settings, storage, pathRules, worktree contract facts, ledger path, and branch-gated cross-repo allowances.
Skill Claude CodeCodex
Create, attach to, report on, integrate, finalize, and clean up Agents Remember worktree-backed tasks while preserving delegated/human approval gates and external-memory compatibility.
Skill Claude CodeCodex
Adopt existing external-memory onboarding as the first ledgered memory baseline after resolving context, checking drift, and requiring explicit acceptance when onboarding is not proven current.
Skill Claude CodeCodex
Carry richer onboarding memory from a source branch into official memory only when the corresponding code has landed on the official branch.
Skill Claude CodeCodex
Close out approved Agents Remember edits by preserving approval authority, mandatory strict code quality before code commit, missing-onboarding checks, external-memory refresh, memory quality, ledger alignment, and no automatic push.
Skill Claude CodeCodex
After the harness starter package and MCP server are wired and the harness has restarted, run/verify runtimeinstall, set up the memory repo, bootstrap onboarding when scaffolding new, and configure providers to index the code and memory.
Skill Claude CodeCodex
The agent lifecycles: one lifecycle per agent type, under one roof. Routes every session by exactly three conditions (spawn-role env -> fresh role brief -> otherwise free-chat launcher), carries the minimal lifecycle frame (the six lifecycle signals every session shares), and houses the self-contained per-role…
Skill Claude CodeCodex
In-between task workflow for work that needs a durable task file, distinct implementation examples, and an approval gate but still fits a single-page implementation plan as a rule of thumb.
Hook Claude Code
Runs when a session starts, running <PYTHON_EXECUTABLE>. From Foxfire1st/agents-remember.
Settings file Claude Code
Agent settings declaring 1 hook event (SessionStart).
Cursor rule Cursor
Agents Remember — session start.
Instructions file CodexOpenCode
Instructions for Foxfire1st/agents-remember, covering agents remember source checkout instructions, start here — route by role, memory and onboarding, memory retrieval strategies and source layout.
Skill Claude CodeCodex
Review the agents-remember cockpit dashboard like a user: discover the intended workflow scenarios, detect missing views and where users get stuck, and judge whether the UI is self-explanatory at a glance / leads the user / progressively discloses / has clear hierarchy / is a good observability surface. Conducts the…
At most 3 mods per repository are shown here — the rest are on their repository pages: