agentmods.dev

iblai-api-agent-memory

An API tool for viewing and managing what an ibl.ai agent remembers. Memories can belong to one user, be shared across agents, or be injected as common knowledge into every user’s chat.

In plain words
What is it for?
Use it to filter, add, edit, delete, and categorise memories, curate shared knowledge, and change memory capture or recall settings.
Why use it?
It helps inspect and correct stored information instead of leaving an agent’s memory unmanaged. It also controls whether memories are captured and recalled.

Skill for Claude CodeCodex

15 4d ago A scan 83 tokens original MIT
View the source file iblai/api
Install

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.

agentmods
npx agentmods add skills/iblai/api/iblai-api-agent-memory
Any agent
npx skills add iblai/api --skill iblai-api-agent-memory
Clone the repo
git clone --depth 1 https://github.com/iblai/api

Made for: Claude Code, Codex.

Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,125 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00083 $0.03125
Opus 5 $0.00042 $0.01563
Sonnet 5 $0.00017 $0.00625
Haiku 4.5 $0.00008 $0.00313

Measured 2d ago against content hash 9777bc6e4d60, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s \
skills/iblai-api-agent-memory/SKILL.md · 214 lines

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_KEY on 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-mentor base https://api.iblai.app/dm/api/ai-mentor/orgs/{org} (the leading … below). A twin ai-agent base mirrors every route with the mentor path token swapped for agent (…/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-login first to populate IBLAI_ORG, IBLAI_USERNAME, and IBLAI_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 Knowledge block, gated by the agent's enable_memory_component and each user's use_memory_in_responses. This is shared "how the agent should behave / what it should always know" content, distinct from the per-user stores above.

Read the full file on GitHub · 214 lines

Files

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.

Changes

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.

  1. 2d ago First seen · 214 lines · 83 tokens per session scan A 9777bc6e4d60

Subscribe to this mod's changes

iblai-api-agent-memory is a skill published in the GitHub repository iblai/api (15 stars, last pushed 4d ago), licensed MIT. It adds 83 tokens to every session and 3,125 once invoked, about $0.0004 per session on Opus 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.

Building agentsMemory and contextagent-skillsai-agentsclaude-codecursorgithub-copilotibl-ai
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