What is teamai-recall?

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

It helps retrieve team knowledge when a task may depend on earlier decisions, shared practices, project documents, or codebase relationships.

It provides relevant internal context without filling the main conversation with entire knowledge-base documents.

teamai-recall — Agent for Claude Code by Tencent/teamai-cli

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.

Clone the repo

git clone --depth 1 https://github.com/Tencent/teamai-cli

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/tencent/teamai-cli/teamai-recall/github.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/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.

Your own site · 80×15

<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="Reviewed on agentmods" width="80" 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 5,409 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00077	$0.05409
Opus 5.5	$0.00031	$0.02164
Sonnet 5.5	$0.00015	$0.01082
Haiku 4.5	$0.00008	$0.00541

Measured today against content hash e37493d4da2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 today.

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 · 408 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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.

today Changed · -8 lines e37493d4da2d
6d ago Changed · +9 lines 0fc91cb2e704
7d ago Changed ca097ba52216
26d ago Changed · +1 lines b40f25d0ce9b
1mo ago Changed · +2 lines 7a98de179fb3
1mo ago Changed · +8 lines cf7ed5775fd1
2mo 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 (5,788 stars, last pushed today), with no licence file. It adds 77 tokens to every session and 5,409 once invoked, about $0.0003 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 2026-08-30.

Memory and context

teamai-recall next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
teamai-recallTencent/teamai-cli	Agent	5.8k	today	none	A	77	Claude Code
context-finderfuturegerald/futuregerald-claude-plugin	Agent	7	3d ago	none	A	107	Claude Code
wiki-ingestkarlorz/llm-wiki	Agent	5	2d ago	none	A	64	Claude Code
memory-curatorwbind-core/termpipe-mcp	Agent	0	5d ago	none	A	45	Claude Code
data scientistkhalilbenaz/MDAN	Agent	0	24d ago	MIT	A	8	Claude Code
playwright-test-generatormicrosoft/playwright	Agent	99k	today	Apache-2.0	A	151	Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners	Agent	79k	today	MIT	A	33	Claude Code