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Launch Kit

Reusable copy and assets for explaining dgenio/contextweaver accurately. Use this for README snippets, PyPI copy, posts, slides, conference abstracts, and ecosystem discussions.

The goal is consistency, not hype. Every claim below should be traceable to a repo file, a docs page, or a reproducible command.

One-Sentence Descriptions

Audience Copy
Technical contextweaver is a context firewall and tool router for MCP and tool-heavy Python agents.
Product / adopter Keep huge tool catalogs, tool schemas, tool results, and long histories out of the prompt without losing the context your agent needs.
OSS / community A deterministic Python context-compilation layer that sits inside your existing agent loop and works alongside frameworks, MCP servers, memory systems, RAG, and model SDKs.

Short Copy Blocks

280 Characters

contextweaver is a context firewall + tool router for MCP and tool-heavy agents.
It turns large catalogs into compact ChoiceCards, stores huge tool outputs out
of band, and builds deterministic phase-specific prompts for your existing
agent loop.

LinkedIn Paragraph

contextweaver is a Python context firewall and tool router for MCP and
tool-heavy agents. It does not run your agent or call an LLM. Instead, it sits
inside your existing loop and decides what the model should see this turn:
compact ChoiceCards for routing, artifact-backed summaries for large tool
results, and phase-specific context packs for long histories.

GitHub Repo Blurb

Context firewall + tool router for MCP and tool-heavy AI agents. Deterministic
phase-specific context engineering for large tool catalogs, huge tool results,
and long agent histories.

PyPI Short Description

Context firewall + tool router for MCP and tool-heavy AI agents.

Visual and Demo Assets

Asset Use
docs/assets/hero.svg Architecture overview for README, talks, and posts.
docs/assets/before_after.svg Social-ready prompt-budget before/after visual.
docs/assets/demo.svg Animated demo image for docs pages and posts.
docs/assets/demo.cast Terminal recording of the default demo.
docs/assets/casts/large-catalog.cast Large catalog to compact ChoiceCards.
docs/assets/casts/huge-tool-output.cast Huge tool output through the context firewall.
docs/assets/casts/mcp-gateway-full.cast Full MCP Context Gateway narrative.

Do not invent fake dashboards, production metrics, customer logos, or screenshots. If a visual shows a number, it should come from a committed example, scorecard, or deterministic demo.

FAQ Snippets

Question Snippet
Does it replace LangGraph or CrewAI? No. Your framework owns control flow; contextweaver owns prompt/context compilation.
Is it memory? Not by itself. It can use memory backends, but its job is deciding what memory and event context enters this turn's prompt.
Is it RAG? No. RAG retrieves documents; contextweaver budgets documents alongside tool results, facts, and history.
Does it call the LLM? No. Core paths are deterministic, LLM-free, and network-free.
When should I not use it? If your tools, outputs, and histories are already tiny, keep the simple prompt path.
Is it MCP? It is not the protocol itself. It can consume MCP-shaped tools/results and can run MCP gateway/proxy patterns.

Responsible Claims Checklist

Claims you can make:

  • "Reduces prompt tokens by 41.6 %-84.3 % on the six committed benchmark scenarios."
  • "Routes large catalogs to compact ChoiceCard shortlists."
  • "Stores large tool outputs out of band and injects summaries."
  • "Runs deterministic, LLM-free core context and routing paths."
  • "Works alongside MCP, FastMCP, LangGraph, LangChain, LlamaIndex, OpenAI Agents SDK, Google ADK, Pipecat, CrewAI, memory systems, and model SDKs."

Claims to avoid:

  • "Makes agents 84 % cheaper."
  • "Improves answer quality by X %."
  • "Solves tool selection at any scale."
  • "Replaces MCP, LangGraph, RAG, memory, or observability."
  • "Production-ready 1.0 API."
  • "Guarantees latency or cost reduction for your workload."

How to cite numbers:

On the committed benchmark scenarios, contextweaver reduces prompt tokens by
41.6 %-84.3 % versus a naive concat-all baseline. Reproduce with:
make benchmark-matrix && make scorecard

Link to the Adopter Benchmark Report for cost and latency framing, and to the generated benchmark scorecard for raw numbers.

Name and SEO Guidance

Use dgenio/contextweaver when ambiguity matters. The package/repo should be described with a subtitle on first mention:

contextweaver - context firewall + tool router for MCP and tool-heavy agents

Helpful discovery phrases to use naturally:

Phrase Use when
context firewall Describing large tool-result handling.
MCP context gateway Describing gateway/proxy patterns.
tool-heavy agents Describing many-tool catalogs.
prompt budgeting Describing phase-specific token control.
tool result firewall Describing artifact-backed summaries.
ChoiceCards Describing compact routing cards.

Avoid implying ownership of the broader phrase "context weaver." If someone asks about similarly named projects, point them to the FAQ entry: Is this related to similarly named ContextWeaver projects or research?