Nous

Nous

Nous is an open-source context graph for agentic GTM (go-to-market) teams that centralizes identity-resolved people and company data from multiple GTM tools so agents can read a single, source-traced account context in one call. It is available as a hosted service and as a self-hostable stack.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

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Nous is an open-source context graph designed for agentic GTM teams to centralize data from CRM, inbox, calendar, LinkedIn, enrichment, and signals into one identity-resolved account. It resolves emails, profiles, and duplicates into canonical person and company records, attaches immutable observations as evidence, and derives claims with confidence and freshness so agents can act from trusted context. Agents request the whole account context in a single call (token-budgeted and agent-shaped), avoiding repeated stitching across multiple tools. Nous is available as a hosted cloud offering and as a self-hostable stack requiring a Supabase project and an Anthropic API key.

The context graph for agentic GTM teams. Unify the data scattered across your GTM tools into one identity-resolved account any agent reads in a single call. - NousC/opennous

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Key Features

Identity resolution and canonical entities

Observations from multiple GTM tools resolve to entities so each person or company has one canonical record, deduplicating emails/profiles across systems.

Immutable observations and source-traced claims

Every signal is stored as an observation (immutable evidence). Claims are derived from observations and include confidence and freshness along with their source.

Single-call account context (get_context)

A token-budgeted, agent-shaped get_context endpoint returns the full account summary, claims, stakeholders, timeline, predictions, and meta information in one request.

Account and query endpoints

API endpoints include get_account (full record for a person or company) and query (filter activity across people and accounts with structured scope and semantic ranking).

MCP integration and agent-first design

Designed to be operated by agents via the Model Context Protocol (MCP); README shows commands to add Nous to MCP hosts and examples for Claude and other MCPs.

Self-hostable stack

Full self-host instructions to run the API, workers, MCP server, frontend, Redis, and Caddy via Docker Compose; requires Supabase and an Anthropic API key.

ICP scoring and predictions

Derives ICP fit scores and predictions (example: icp_fit prediction with confidence) from the graph and observations.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Agent-enabled account review

Agents call get_context for a focused account_review intent to receive a token-budgeted summary, claims, timeline events, and ICP fit to inform next actions.

Sales and RevOps workflows

Unify CRM, email, calendar, enrichment, and signal data into one account to enable consistent decisions across SDRs, AEs, and RevOps agents.

Signal-driven targeting and query

Use the query endpoint to filter accounts by recent interactions or signals (for example, 'accounts that replied positively then went quiet') and return ranked entities for outreach.

Self-hosted, privacy-controlled deployments

Organizations can self-host Nous, run the stack on their infrastructure with Supabase and Anthropic, and control data residency and sign-up policies.

Integrations

MCP (Model Context Protocol)

Integrate with agents and MCP hosts โ€” examples provided for Claude MCP, Codex, Cursor, and commands to add Nous as an MCP server.

Anthropic / Claude

Uses Anthropic (Claude) for AI/LLM functionality; self-host requires an ANTHROPIC_API_KEY.

Supabase (Postgres + pgvector)

Self-host deployments require a Supabase project for Postgres, auth, and vector storage (schema included).

CRM, Gmail, LinkedIn, note-takers, enrichment, signal sources

Supported connectors and ingestion sources include CRM syncs, Gmail, LinkedIn (via official OAuth/webhooks), note-takers (e.g., Fireflies example), and enrichment sources; these feed observations into the graph.

Benefits

Single canonical record per person/company reduces duplicate or conflicting data across GTM tools.
Every fact carries its source, confidence, and freshness so agents act on traceable, auditable information.
Agents read the whole account context in one call, reducing the need to stitch data from multiple systems at runtime.
Consistent context across agents ensures uniform behavior as more agents run against the same graph.
Open-source + self-host option lets teams control data and customize the stack; hosted Nous Cloud provides additional team-layer features.

Limitations

Self-hosting requires an Anthropic API key, a Supabase project, and a Linux server with Docker + Docker Compose.
Deployment requires DNS configuration (three records for app, api, mcp) and setup of Supabase schema prior to launch.
Repository shows no published releases on the GitHub page (README/repo is the primary distribution point).

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Connect Nous to your agent via MCP (example: claude mcp add nous -- npx -y @opennous/mcp or use npx @opennous/cli login).
  2. 2 For self-host: clone the repository, copy the example env (cp nous.env.example nous.env) and fill in APP_DOMAIN/API_DOMAIN/MCP_DOMAIN, Supabase URL and keys, and ANTHROPIC_API_KEY; generate ENCRYPTION_KEY.
  3. 3 Create the Supabase database (run supabase/schema.sql), then launch the stack with Docker Compose (docker compose --env-file nous.env up -d --build).

Support

Docs

Repository README and self-host guides (see the GitHub repository for docs and walkthroughs).

GitHub issues

Report bugs or request features via the repository Issues page.

Community / Discord

Project resources list includes a Discord and community linksโ€”see repository resources and SLACK.md/SLACK instructions for joining community channels.

Contributing & Security

Contributing Guide and SECURITY.md are in the repository for contribution and security reporting guidance.

API

Available: Yes
Documentation:

Repository README with API examples (get_context, get_account, query) at https://github.com/NousC/opennous

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