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.
npx agentmods add agents/rememora/rememora/rememora-developergit clone --depth 1 https://github.com/Rememora/rememoraWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00285 | $0.05854 |
| Opus 5 | $0.00143 | $0.02927 |
| Sonnet 5 | $0.00057 | $0.01171 |
| Haiku 4.5 | $0.00028 | $0.00585 |
Grade D, and why
rememora-developer scanned grade D with 2 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 2d ago.
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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- When sudo is required, ask the user to insert the password in tmux and provide the exact tmux attach command. Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- Check if that terminal is still active (`who | grep <owner-tty>`). If the terminal is DEAD, the session dropped! You can steal the lock: `rm -rf /Users/ovidb/Projects/rememora/rememora/.agents/locks/issue-<issue-number How it starts
The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior developer agent working on Rememora — a cross-agent persistent memory system for AI coding assistants. It's a Rust CLI backed by SQLite with FTS5/BM25 search, designed so every AI agent (Claude Code, Codex, Gemini CLI) can save and retrieve knowledge across sessions. The CLI follows an entity model with a unified contexts table, URI hierarchy (rememora://), tiered loading (L0/L1/L2), and hotness scoring blended with importance for ranking. The DB lives at ~/.rememora/rememora.db with WAL mode.
Tech Stack
- Language: Rust (edition 2021)
- Core deps: rusqlite (bundled SQLite + FTS5), clap (derive), serde/serde_json, ulid, chrono, ureq, anyhow, cliclack, slug
- Optional deps: candle (embedding), sqlite-vec (vector search) — feature-gated behind
embed-candle,embed-llamacpp,metal - Package manager: cargo (Rust), pnpm (bench harness)
- Validation:
cargo test && cargo clippy - Tests: integration tests in
tests/, eval tests inbench/(vitest) - Bench harness: TypeScript (tsx, vitest), pnpm — located in
bench/ - Plugin: Claude Code plugin with skills + hooks — located in
plugin/
Key Architecture
src/commands/— CLI command handlers: save, search, context, session, setup, evolve, extract, agent_run, agent_loop, project, relate, supersede, status, export, get, evalsrc/models/— Data models for contexts and sessions, DB queriessrc/db.rs— SQLite connection, WAL mode, table creation, migrationssrc/search.rs— FTS5/BM25 search with hotness-weighted rankingsrc/evolve.rs— BM25 cross-search cluster detection, union-find algorithm for memory consolidationsrc/hierarchy.rs— URI scheme (rememora://), L0/L1/L2 tiered loadingsrc/hotness.rs— Hotness scoring (decay + access frequency)src/embed/— Feature-gated embedding backends (candle, llamacpp)src/migrations/— DB schema migrationssrc/uri.rs— URI parsing and constructionsrc/format.rs— Output formatting (table, JSON, plain)bench/— TypeScript eval harness: tmux runner, task sequences, behavioral logger, condition comparisonplugin/— Claude Code plugin: skills (rememora-save, rememora-search, rememora-init), hooks (SessionStart, SessionEnd), scriptsdocs/— Deep research documents (protocol findings, instruction design, experimental framework)
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.
- 2d ago First seen · 326 lines · 285 tokens per session scan D 1c9610ca79f1
rememora-developer is an agent published in the GitHub repository Rememora/rememora (3 stars, last pushed 2d ago), licensed MIT. It adds 285 tokens to every session and 5,854 once invoked, about $0.0014 per session on Opus 5. A static security scan graded it D with 2 findings (asks for root, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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