Borrowing it
Nothing to install: this file belongs to Clamepending/videomemory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Clamepending/videomemory/main/AGENTS.mdgit clone --depth 1 https://github.com/Clamepending/videomemoryWrote 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/instructions/clamepending/videomemory/agents-md)<a href="https://agentmods.dev/instructions/clamepending/videomemory/agents-md"><img src="https://agentmods.dev/badge/instructions/clamepending/videomemory/agents-md/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/instructions/clamepending/videomemory/agents-md"><img src="https://agentmods.dev/badge/instructions/clamepending/videomemory/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.02260 | $0.02260 |
| Opus 5.5 | $0.00904 | $0.00904 |
| Sonnet 5.5 | $0.00452 | $0.00452 |
| Haiku 4.5 | $0.00226 | $0.00226 |
Grade A, and why
videomemory AGENTS.md 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 2mo 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 -X PUT http://localhost:5050/api/settings/GOOGLE_API_KEY \ How it starts
The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VideoMemory - Agent Integration Guide
VideoMemory is a video monitoring system. You create tasks for camera input devices, and the system analyses the video feed using vision-language models to fulfil those tasks (counting events, detecting conditions, triggering actions, etc.).
This document describes how to run the VideoMemory core service and interact with it via HTTP from an external agent.
For agent integrations, keep VideoMemory as the long-running visual monitor. For "when X happens, do Y", put the visual trigger in the VideoMemory task and store the follow-up action in the webhook-capable agent runtime.
For true push-style Claude Code wakeups, use docs/claude-code-channel.md and
claude-videomemory-channel/. Claude Code channels can receive external events
into a running Claude session.
Quick Start
If the server is not already running, start it:
uv run flask_app/app.py
The server is available at http://localhost:5050 (or at the host's IP on port 5050 if deployed on a remote machine like a Raspberry Pi). API keys are configured via the Settings tab in the web UI, or via PUT /api/settings/{key} (see Configuration section below).
For local integration testing, choose one stack:
- Core only:
docker compose -f docker-compose.core.yml up --build - Core + OpenClaw:
docker compose -f docker-compose.real-openclaw.yml up --build
OpenAPI Spec
A machine-readable OpenAPI 3.1 spec is served at:
GET http://localhost:5050/openapi.json
Use this to auto-discover all available endpoints and their schemas.
Health Check
GET /api/health
Returns {"status": "ok", ...} when the server is running.
Health is not the same as monitor readiness. A monitor also needs a reachable model runtime or configured model API key, plus camera permission for local USB or built-in cameras. Coding agents should run:
node scripts/agent/ensure-server.mjs --json
On macOS, the terminal or host app that launches Python may need Camera permission in System Settings before OpenCV can read built-in/USB cameras.
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.
- 2mo ago First seen · 312 lines · 2,260 tokens per session scan A e79a7f5641ba
videomemory AGENTS.md is an instructions file published in the GitHub repository Clamepending/videomemory (5 stars, last pushed 5mo ago), licensed MIT. It adds 2,260 tokens to every session, about $0.0090 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 2026-08-31.
videomemory AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| videomemory AGENTS.mdClamepending/videomemory | Instructions file | 5 | 5mo ago | MIT | A | 2,260 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |