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/ofershap/conversation-memoryWrote 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/ofershap/conversation-memory/recall)<a href="https://agentmods.dev/commands/ofershap/conversation-memory/recall"><img src="https://agentmods.dev/badge/commands/ofershap/conversation-memory/recall/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/ofershap/conversation-memory/recall"><img src="https://agentmods.dev/badge/commands/ofershap/conversation-memory/recall.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 | $0.00012 | $0.00342 |
| Opus 5.5 | $0.00005 | $0.00137 |
| Sonnet 5.5 | $0.00002 | $0.00068 |
| Haiku 4.5 | $0.00001 | $0.00034 |
Grade A, and why
recall 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 1mo 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
Search your conversation history to find and recall context from past sessions.
Use the conversation-memory skill for history file locations and search strategies.
When a search query is provided
-
Determine which AI tool's history to search:
- If in Claude Code: search
~/.claude/history.jsonlfirst - If in Cursor: search
~/.cursor/projects/*/agent-transcripts/ - If unclear: search both
- If in Claude Code: search
-
Search by keyword using grep/rg — never read entire history files
-
For each matching session, show:
- Date and time
- Project name
- First 80 characters of the conversation topic
- Session ID or transcript path
-
Ask which session to load if multiple matches
-
Read the relevant portion of the selected session
-
Summarize: what was done, what was decided, what's still open
When no search query is provided
Guide the user:
What do you want to recall from a past conversation?
- a) Recent work — show my last 10 sessions across all projects
- b) Specific topic — tell me what to search for (e.g., "auth bug", "migration")
- c) Specific date — tell me roughly when (e.g., "last Tuesday", "two weeks ago")
- d) Specific project — which project's history should I search?
- e) Continue previous task — find where I left off on something
Then proceed with the appropriate search strategy.
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.
- 1mo ago First seen · 44 lines · 12 tokens per session scan A 73f427f515e0
recall is a command published in the GitHub repository ofershap/conversation-memory (1 stars, last pushed 8mo ago), licensed MIT. It adds 12 tokens to every session and 342 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-31.
Other commands, from other repositories
search
Search Nowledge Mem for relevant memories.
sum
Distill insights from this conversation into memories.
nowledge-search-memory
Search Nowledge Mem for relevant memories and threads.
save
Save current session to Nowledge Mem.
status
Check Nowledge Mem connection and server status.
nowledge-read-working-memory
Read today's Working Memory briefing.