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.
git clone --depth 1 https://github.com/JubaKitiashvili/context-memWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/jubakitiashvili/context-mem/context-mem-history)<a href="https://agentmods.dev/commands/jubakitiashvili/context-mem/context-mem-history"><img src="https://agentmods.dev/badge/commands/jubakitiashvili/context-mem/context-mem-history/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/jubakitiashvili/context-mem/context-mem-history"><img src="https://agentmods.dev/badge/commands/jubakitiashvili/context-mem/context-mem-history.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.00494 |
| Opus 5 | $0.00010 | $0.00247 |
| Sonnet 5 | $0.00004 | $0.00099 |
| Haiku 4.5 | $0.00002 | $0.00049 |
Grade A, and why
context-mem-history 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 11d 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.
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.
What it actually says
Show the session chain history for this project.
-
Query the database for chain history:
node -e " const Database = require('better-sqlite3'); const db = new Database('.context-mem/store.db', { readonly: true }); try { const tableExists = db.prepare(\"SELECT name FROM sqlite_master WHERE type='table' AND name='session_chains'\").get(); if (!tableExists) { console.log('No session chain data. Session chaining is available in context-mem v2.1.0+.'); process.exit(0); } const chains = db.prepare('SELECT * FROM session_chains WHERE project_path = ? ORDER BY created_at DESC LIMIT 20').all(process.cwd()); if (!chains.length) { console.log('No session history for this project yet.'); process.exit(0); } console.log(JSON.stringify(chains.map(c => ({ session_id: c.session_id.slice(0,8), summary: c.summary || 'no summary', tokens: c.token_estimate ? Math.round(c.token_estimate / 1000) + 'K' : '?', reason: c.handoff_reason, created: c.created_at, parent: c.parent_session ? c.parent_session.slice(0,8) : null })))); } catch (e) { console.log('Error reading chain history: ' + e.message); } db.close(); " -
Present results as a timeline:
context-mem session history ─────────────────────────── Session 3 (current) — 1h 23m, ~340K tokens > Session handoff design, PreCompact hook Session 2 — 45m, ~280K tokens > Multi-agent system, v1.4.0 release Session 1 — 2h 10m, ~890K tokens > Knowledge graph, proactive injection, v1.2.0-1.3.0 -
If the user asks about a specific session, offer to restore it using the
restore_sessionMCP tool.
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.
- 11d ago First seen · 57 lines · 19 tokens per session scan A d331d57b67bb
context-mem-history is a command published in the GitHub repository JubaKitiashvili/context-mem (19 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 494 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
memory-why
Show why a memory recall returned what it did -- BM25 vs vector vs hybrid provenance.
context-stats
Display context window usage and token statistics.
handoff
Create a handoff document for seamless session continuity.
check
Run mneme check against a file or proposed change.
capturar
Capturar ideas y notas sin interrumpir el flujo de trabajo. Usa cuando el usuario dice "capturar idea", "quick note", "nota rápida", "grab this", "take a note", "guardar idea", "note to self", "capture thought", "I should remember", "guardar esto". Guarda en memoria persistente sin romper el contexto actual.
context
Retrieve relevant decisions from project memory for the current task.