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 iblai/api --skill iblai-api-agent-memorygit clone --depth 1 https://github.com/iblai/apiWrote 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/iblai/api/iblai-api-agent-memory)<a href="https://agentmods.dev/skills/iblai/api/iblai-api-agent-memory"><img src="https://agentmods.dev/badge/skills/iblai/api/iblai-api-agent-memory/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/iblai/api/iblai-api-agent-memory"><img src="https://agentmods.dev/badge/skills/iblai/api/iblai-api-agent-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 20 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.
- medium Data Exfiltration · line 150 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 | $0.00083 | $0.03125 |
| Opus 5.5 | $0.00033 | $0.01250 |
| Sonnet 5.5 | $0.00017 | $0.00625 |
| Haiku 4.5 | $0.00008 | $0.00313 |
Grade A, and why
iblai-api-agent-memory 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s \ How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iblai-api-agent-memory
Manage an agent's memories through the API: browse and filter what an agent has remembered, curate global (cross-agent) memories, add / edit / delete individual memories, manage the categories memories are filed under, and control capture / recall settings. Use when inspecting or curating what an agent remembers.
Auth & conventions
- Base URL:
https://api.iblai.app - Header:
Authorization: Api-Token $IBLAI_API_KEYon every request. - Path vars:
{org}=$IBLAI_ORG,{username}=$IBLAI_USERNAME,{mentor}= the agent's unique id (e.g.d17dc729-60fd-4363-81a0-f67d9318b03e). - Prefix / two spellings: endpoints live under the
ai-mentorbasehttps://api.iblai.app/dm/api/ai-mentor/orgs/{org}(the leading…below). A twinai-agentbase mirrors every route with thementorpath token swapped foragent(…/mentors/{mentor}/mentor-memories/↔…/agents/{agent}/agent-memories/); either works. - Two path bases: user-scoped routes hang off
…/orgs/{org}/users/{username}(written{u}below); memory categories hang off…/orgs/{org}/mentors/{mentor}directly (no user segment). - Not connected yet? Run
/iblai-api-loginfirst to populateIBLAI_ORG,IBLAI_USERNAME, andIBLAI_API_KEY.
Concepts
Two PGVector-backed memory stores ("memsearch") sit behind these endpoints:
- Global memories (
UserGlobalMemory) — scoped to a user + org, shared across every agent; facts any agent should know about the user. - Agent (mentor) memories (
UserMentorMemory) — scoped to a user + one agent + a category; what a single agent remembers about the user. - Agent knowledge (
MentorMemory) — scoped to one agent (org + mentor), not any user and not categorized. Manually curated (never auto-extracted), it is injected into every user's chat with that agent as an## Agent Knowledgeblock, gated by the agent'senable_memory_componentand each user'suse_memory_in_responses. This is shared "how the agent should behave / what it should always know" content, distinct from the per-user stores above.
What ships with it
1 file 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.
- 1mo ago First seen · 214 lines · 83 tokens per session scan A 9777bc6e4d60
iblai-api-agent-memory is a skill published in the GitHub repository iblai/api (15 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 3,125 once invoked, about $0.0003 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
workspace-knowledge-sync
Syncs knowledge to the agentic-harness knowledge base and AGENTS.md learned facts. Use when the assistant discovers new patterns, learns user preferences, workspace facts, or identifies information worth preserving for future sessions. Integrates with platform-engineer (formerly tech-assistant) for automatic trigger…
workspace
Scaffold and manage the stateless AI workspace — context, packs, repos, and knowledge for multi-repo orchestration.
teach
Updates the project knowledge base (.vibeflow/) with corrections, new conventions, architectural decisions, or new patterns based on natural language feedback. Also imports patterns from external repos through the --from option. Edits are placed outside auto-generated markers to survive incremental analyze runs. Use…
vibeflow-teach
Updates .vibeflow/ with corrections, new conventions, architectural decisions, or new patterns from natural language feedback. Also imports from external repos through the --from option. Use to keep .vibeflow/ accurate as the project evolves.
kiro-steering-custom
Create custom steering documents for specialized project contexts.
identity-snapshot
Generate a living profile of the user's working patterns, decision tendencies and quality preferences from their Dex data. Use when the user says 'what are my patterns', 'how do I work', or during week-review. Also use proactively when the model (older than 7 days) is stale. Not for planning a week; use week-plan.