agentmemory is a persistent-memory system that lets AI coding agents retain and search information across sessions. It connects with several coding agents and MCP clients, storing knowledge with confidence scoring, lifecycle handling, knowledge graphs, and hybrid search. The catalogue contains agentmemory integrations such as skills, hooks, commands, a plugin, and an MCP component.
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 skills add rohitg00/agentmemory --skill agentmemory-rest-apigit clone --depth 1 https://github.com/rohitg00/agentmemoryWrote 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/skills/rohitg00/agentmemory/agentmemory-rest-api)<a href="https://agentmods.dev/skills/rohitg00/agentmemory/agentmemory-rest-api"><img src="https://agentmods.dev/badge/skills/rohitg00/agentmemory/agentmemory-rest-api/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/skills/rohitg00/agentmemory/agentmemory-rest-api"><img src="https://agentmods.dev/badge/skills/rohitg00/agentmemory/agentmemory-rest-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 13 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00052 | $0.00530 |
| Opus 5.5 | $0.00021 | $0.00212 |
| Sonnet 5.5 | $0.00010 | $0.00106 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
agentmemory-rest-api scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsS http://localhost:3111/agentmemory/livez Copies of this mod
2 near-identical copies found in the catalogue:
- agentmemory-rest-api — 100% identical, 14 lines differ
- agentmemory-rest-api — 89% identical, 19 lines differ
What it actually says
REST is agentmemory's primary surface. MCP is a bridge on top of it. Every memory operation has an HTTP endpoint under http://localhost:3111/agentmemory/*.
Quick start
# liveness
curl -fsS http://localhost:3111/agentmemory/livez
# For this fixed loopback URL only. Do not print the value or enable shell tracing.
agentmemory_secret="${AGENTMEMORY_SECRET:-$(cat "$HOME/.agentmemory/secret")}"
test -n "$agentmemory_secret" || exit 1
# save
curl -fsS -X POST http://localhost:3111/agentmemory/remember \
-H "Authorization: Bearer $agentmemory_secret" \
-H "Content-Type: application/json" \
-d '{"content":"chose JWT refresh rotation","concepts":["jwt-refresh-rotation"]}'
# recall
curl -fsS -X POST http://localhost:3111/agentmemory/smart-search \
-H "Authorization: Bearer $agentmemory_secret" \
-H "Content-Type: application/json" \
-d '{"query":"auth token strategy","limit":5}'
Auth
Protected endpoints require bearer authentication by default, including localhost. Liveness is public. The example uses an explicit environment secret or the generated local secret file; if the daemon uses a secret from its .env, load that value locally without displaying it. For a remote daemon, require an explicit credential for that endpoint and HTTPS. Never forward a local-file secret or follow an authenticated redirect to another host. See TROUBLESHOOTING.md.
Conventions
- Save returns
201, reads return200, validation errors return400. - Use documented fields only. A successful response does not prove an unsupported field was applied.
- The port is configurable with
--portor--instance; streams, viewer, and engine derive from it.
See also
- agentmemory-mcp-tools for the MCP equivalents.
- agentmemory-config for the port quartet and the secret.
Reference
The full endpoint list with methods lives in REFERENCE.md, generated from src/triggers/api.ts.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago Changed · +6 lines 04e0cd09a3e2
- 1mo ago First seen · 44 lines · 52 tokens per session scan A e7014241e99b
agentmemory-rest-api is a skill published in the GitHub repository rohitg00/agentmemory (29,653 stars, last pushed yesterday), licensed Apache-2.0. It adds 52 tokens to every session and 530 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
hindsight-local
Store user preferences, learnings from tasks, and procedure outcomes. Use to remember what works and recall context before new tasks. (user).
memory-retain
Save what was learned to Hindsight long-term memory. Use when a task finishes, when the user states a fact, decision or preference, and when you discover something a later run or another Bot would need.
last30Days
Resolve "last30Days" to a concrete ISO date range relative to your run time — a rolling 30-day window ending today. Returns inclusive civil dates plus exact UTC instants so you have temporal context without computing dates by hand. Read-only: no writes, no network. Use before a "last 30 days" / trailing-month task…
thisWeek
Resolve "thisWeek" to a concrete ISO date range relative to your run time — this week so far (Monday → today). Returns inclusive civil dates plus exact UTC instants so you have temporal context without computing dates by hand. Read-only: no writes, no network. Use before a week-to-date task (this week's activity…
kb-research
Structured approach to finding and synthesizing information from the user's knowledge base.
sl_capture
How to capture new reusable patterns into ktx's semantic layer - when a measure, segment, or join belongs in the catalog and how to write it generically so it stays small and useful over time. Loaded by the post-turn memory-agent only. The research agent does not write to the SL.