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AgentCRM – Headless CRM for Claude Code

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AgentCRM – Headless CRM for Claude Code
TL;DR · WeSearch summary

AgentCRM introduces a headless CRM solution designed for AI agents. It utilizes a .acrm file format, which is a SQLite database that allows for version control and easy data management. This system aims to streamline the handling of leads and sales processes by integrating various functionalities into a single, portable file.

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2 outlets in our directory ran this story, first to last over 6 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1
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GitHub
Read full at GitHub →

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Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherGitHub
Canonical URLhttps://github.com/cluster-software/agent-crm
Publication timeTue, 19 May 2026 00:23:16 +0000
Retrieval time2026-05-19T00:34:57.023Z
Last seen2026-05-19T00:34:57.023Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterZcr9KYuPi65G · 2 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Claude is running your GTM and your leads live in CSVs. Spreadsheets fall apart around 30 deals in: you lose track of who said what, what's open, and what's next. CRMs solve that, but they were built for humans clicking through UIs, not agents reading and writing it on your behalf. Plug Claude into your CRM via MCP and the schema torches your context, every action is a network round-trip, and you blow through your usage limits. Salesforce and HubSpot are shipping their own CLIs, but they end at the deal record — the scrapes, enrichment runs, and half-cleaned lists that fed it live somewhere else. You can't see what your last scrape pulled in and what it didn't clean up, or pick up where last weekend's list-building session left off. Agents work best on files.

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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