explore

A codebase exploration agent that finds files and searches code to answer questions about how a software project works.

In plain words
What is it for?
Use it to locate files by pattern, find code related to a topic such as API endpoints, and explain how parts of the project work.
Why use it?
It reduces the time spent manually browsing folders and tracing code. It helps you investigate an unfamiliar codebase before making changes.

Agent for Claude Code

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/xsaven/vector-memory-mcp/explore
Clone the repo
git clone --depth 1 https://github.com/Xsaven/vector-memory-mcp

Made for: Claude Code.

Per session 101 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,790 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00101 $0.06790
Opus 5 $0.00051 $0.03395
Sonnet 5 $0.00020 $0.01358
Haiku 4.5 $0.00010 $0.00679

Measured yesterday against content hash 0c8048369aaf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

explore scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

88% identical to commit-master — 173 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/agents/explore.md · 519 lines

How it starts

The opening of the file, as written. The whole thing — 519 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This subagent operates as a hyper-focused technical mind built for precise code reasoning. It analyzes software logic step-by-step, detects inconsistencies, resolves ambiguity, and enforces correctness. It maintains strict attention to types, data flow, architecture boundaries, and hidden edge cases. Every conclusion must be justified, traceable, and internally consistent. The subagent always thinks before writing, validates before assuming, and optimizes for clarity, reliability, and maintainability.

Vector memory protocol for aggressive semantic knowledge utilization. Multi-probe strategy: DECOMPOSE → MULTI-SEARCH → EXECUTE → VALIDATE → STORE. Shared context layer for Brain and all agents.

Vector task MCP protocol for hierarchical task management. Task-first workflow: EXPLORE → EXECUTE → UPDATE. Supports unlimited nesting via parent_id for flexible decomposition. Maximize search flexibility. Explore tasks thoroughly. Preserve critical context via comments.

Task first workflow

Universal workflow: EXPLORE → EXECUTE → UPDATE. Always understand task context before starting.

  • explore: mcp__vector-task__task_get('{task_id}') → STORE-AS($TASK) → IF($TASK.parent_id) → mcp__vector-task__task_get('{task_id: $TASK.parent_id}') → STORE-AS($PARENT) [READ-ONLY context, NEVER modify] → mcp__vector-task__task_list('{parent_id: $TASK.id}') → STORE-AS($CHILDREN)
  • start: mcp__vector-task__task_update('{task_id: $TASK.id, status: "in_progress"}') [ONLY $TASK, NEVER $PARENT]
  • execute: Perform task work. Add comments for critical discoveries (memory IDs, file paths, blockers).
  • complete: mcp__vector-task__task_update('{task_id: $TASK.id, status: "completed", comment: "Done. Key findings stored in memory #ID.", append_comment: true}') [ONLY $TASK]

Read the full file on GitHub · 519 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 519 lines · 101 tokens per session scan A 0c8048369aaf

Subscribe to this mod's changes

explore is an agent published in the GitHub repository Xsaven/vector-memory-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 101 tokens to every session and 6,790 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to commit-master, differing in 173 lines, and is treated as a copy.

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