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automem-search

@nicosuave/memex
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Search, filter, and retrieve Claude/Codex history indexed by the automem CLI. Use when the user wants to index history, run lexical/semantic/hybrid search, fetch full transcripts, or produce LLM-friendly JSON output for RAG.

Install Skill

1Download skill
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3Upload to Claude

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SKILL.md

name automem-search
description Search, filter, and retrieve Claude/Codex history indexed by the automem CLI. Use when the user wants to index history, run lexical/semantic/hybrid search, fetch full transcripts, or produce LLM-friendly JSON output for RAG.

Automem Search

Use this skill to index local history and retrieve results in a structured, LLM-friendly way.

Indexing

  • Build or update the index (incremental):
    • ./target/debug/automem index
  • Full rebuild (clears index):
    • ./target/debug/automem reindex
  • Embeddings are on by default.
  • Disable embeddings:
    • ./target/debug/automem index --no-embeddings
  • Backfill embeddings only:
    • ./target/debug/automem embed
  • Common flags:
    • --source <path> for Claude logs
    • --include-agents to include agent transcripts
    • --codex/--no-codex to include or skip Codex logs
    • --root <path> to change data root (default: ~/.automem)

Search (LLM default JSON)

Run a search; output is JSON lines by default.

./target/debug/automem search "query" --limit 20

Each JSON line includes:

  • doc_id, ts (ISO), session_id, project, role, source_path
  • text (full record text)
  • snippet (trimmed single-line summary)
  • matches (offsets + before/after context)
  • score (ranked score)

Mode decision table

Need Command
Exact terms search "exact term"
Fuzzy concepts search "concept" --semantic
Mixed search "term concept" --hybrid

Filters

  • --project <name>
  • --role <user|assistant|tool_use|tool_result>
  • --tool <tool_name>
  • --session <session_id> (search inside a transcript)
  • --source claude|codex
  • --since <iso|unix> / --until <iso|unix>
  • --limit <n>
  • --min-score <float>

Grouping / dedupe

  • --top-n-per-session <n> (top n per session)
  • --unique-session (same as top‑k per session = 1)
  • --sort score|ts (default score)

Output shape

  • JSONL default (one JSON per line)
  • --json-array for a single JSON array
  • --fields score,ts,doc_id,session_id,snippet to reduce output
  • -v/--verbose for human output

Narrow first (fastest reducers)

  1. Global search with --limit
  2. Reduce with --project and --since/--until
  3. Optionally --top-n-per-session or --unique-session
  4. ./target/debug/automem session <id> for full context

Practical narrowing tips

  • Start with exact terms (quoted) before hybrid if results are noisy.
  • Use --unique-session to collapse PR‑link spam fast.
  • Use --min-score to prune low-signal hits.
  • Use --sort ts when you want a timeline view.
  • Use --role assistant for narrative outcomes; --role tool_result for command errors.
  • For a specific session, prefer search "<term>" --session <id> --sort ts --limit 50 to jump to outcomes.

Config

Create ~/.automem/config.toml (or <root>/config.toml if you use --root):

embeddings = true
auto_index_on_search = true

auto_index_on_search runs an incremental index update before each search.

Semantic and Hybrid

  • Semantic: --semantic
  • Hybrid (BM25 + vectors, RRF): --hybrid
  • Recency tuning:
    • --recency-weight <float>
    • --recency-half-life-days <float>

Fetch Full Context

  • One record:
    • ./target/debug/automem show <doc_id>
  • Full transcript:
    • ./target/debug/automem session <session_id>

Both commands return JSON by default.

Human Output

Use -v/--verbose for human-readable output:

  • ./target/debug/automem search "query" -v
  • ./target/debug/automem show <doc_id> -v
  • ./target/debug/automem session <session_id> -v

Recommended LLM Flow

  1. ./target/debug/automem search "query" --limit 20
  2. Pick hits using matches or snippet
  3. ./target/debug/automem show <doc_id> or ./target/debug/automem session <session_id>
  4. Refine with --session, --role, or time filters