teamai-recall

teamai-recall is an agent for coding agents from Tencent/teamai-cli. It costs 77 tokens per session (5,062 once invoked), scanned A, original, no licence file.

A team-knowledge search agent that looks through skills, learnings, documents, rules, and codebase graphs, then returns a compact summary with document IDs.

In plain words
What is it for?
It helps retrieve team knowledge when a task may depend on earlier decisions, shared practices, project documents, or codebase relationships.
Why use it?
It provides relevant internal context without filling the main conversation with entire knowledge-base documents.

Agent

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 agents/tencent/teamai-cli/teamai-recall
Clone the repo
git clone --depth 1 https://github.com/Tencent/teamai-cli

Wrote 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.

agentmods badge for teamai-recall

README.md
[![agentmods](https://agentmods.dev/badge/agents/tencent/teamai-cli/teamai-recall.svg)](https://agentmods.dev/agents/tencent/teamai-cli/teamai-recall)
Your own site
<a href="https://agentmods.dev/agents/tencent/teamai-cli/teamai-recall"><img src="https://agentmods.dev/badge/agents/tencent/teamai-cli/teamai-recall.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,062 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00077 $0.05062
Opus 5 $0.00039 $0.02531
Sonnet 5 $0.00015 $0.01012
Haiku 4.5 $0.00008 $0.00506

Measured 4d ago against content hash 0a5b7f58ee8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

teamai-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 4d 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.

agents/teamai-recall.md · 396 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 396 lines · 77 tokens per session scan A 0a5b7f58ee8c

Subscribe to this mod's changes

teamai-recall is an agent published in the GitHub repository Tencent/teamai-cli (772 stars, last pushed today), with no licence file. It adds 77 tokens to every session and 5,062 once invoked, about $0.0004 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.

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