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.
git clone --depth 1 https://github.com/airweave-ai/airweaveWrote 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/rules/airweave-ai/airweave/airweave-overview)<a href="https://agentmods.dev/rules/airweave-ai/airweave/airweave-overview"><img src="https://agentmods.dev/badge/rules/airweave-ai/airweave/airweave-overview/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/rules/airweave-ai/airweave/airweave-overview"><img src="https://agentmods.dev/badge/rules/airweave-ai/airweave/airweave-overview.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 | $0.00434 | $0.00434 |
| Opus 5 | $0.00217 | $0.00217 |
| Sonnet 5 | $0.00087 | $0.00087 |
| Haiku 4.5 | $0.00043 | $0.00043 |
Grade A, and why
airweave-overview 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 10d 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.
What it actually says
Airweave Overview
What is Airweave?
Airweave is an open-source platform that makes any app searchable for your agent by syncing data from various sources with minimal configuration for agentic search. It serves as a bridge between your data sources and agents, transforming raw data into queryable knowledge.
There is an adjacent repository called
infra-corewhich manages all the infrastructure.
Architecture
- Monorepo: Python FastAPI backend + React/TypeScript frontend + Python Temporal workers + Node.js MCP server
- Data Flow: Sources → Processing → Vector/Graph DBs → Agent Queries
- MCP Integration: Streamable HTTP transport (MCP 2025-03-26) for cloud-based AI assistants (OpenAI Agent Builder, etc.)
- Tested with Monke (internal E2E testing framework)
Technical Capabilities
- Data synchronization configuration via UI or API
- Multi-tenant architecture with OAuth2
- Entity extraction and transformation pipeline
- Sync triggers: manual, scheduled, or API-driven
- Incremental updates using content hashing
- Scales from local development to production environments
Data Sources
Airweave can extract and process data from:
- API endpoints (REST) / Productivity and collaboration tools
- Relational databases
- Document stores
- File systems and storage services
Technology Implementation
- Backend: FastAPI with PostgreSQL metadata store
- Frontend: React/TypeScript with ShadCN components
- MCP Server: Node.js with stdio (local) and Streamable HTTP (hosted) transports for AI assistant integration
- Storage: Qdrant (will add more, DWH-type storage later)
- Deployment: Docker Compose (dev), Kubernetes (prod)
- Processing: Async workers with Temporal
- Messages: Redis PubSub
- Documentation: Fern
For Developers
- Local setup uses Docker Compose
- Prod setup with Kubernetes (upcoming)
- Configuration via environment variables
- Extensible for custom sources and destinations
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.
- 10d ago First seen · 51 lines · 434 tokens per session scan A 3a449f6123ad
airweave-overview is a cursor rule published in the GitHub repository airweave-ai/airweave (6,565 stars, last pushed 3mo ago), licensed MIT. It adds 434 tokens to every session, about $0.0022 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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