Shared team knowledge base
Compendium keeps team knowledge in one shared place that both people and agents can access, so context is not trapped in private chats or scattered documents.
Compendium
Compendium is a shared knowledge base for teams and AI agents that keeps context, decisions, and session history in one place. It is designed to help teammates and agents work from the same persistent memory across handoffs, onboarding, and live Claude sessions.
Overview
Compendium is a shared knowledge base for teams and AI agents. The product page describes it as “one shared brain” where people and agents can read, write, and reason over the same context instead of keeping knowledge in separate tools or private chats.
Its core purpose is to preserve organizational memory across sessions, machines, and handoffs. The page emphasizes that engineers can recover the reasoning behind decisions, teammates can pick up work without restarting from scratch, and new hires can ask the vault directly instead of interrupting the team for background.
Features
Linked knowledge graph
The product organizes information as a knowledge graph with wikilinks, making it easier to connect specs, decisions, customer calls, and other notes into one trail of context.
Collaborative live sessions
Multiple teammates can work inside a live Claude session together, watching the model reason and steering it in real time instead of starting separate chats.
Seamless handoffs
A teammate can pick up a run where someone else left off, with history and context intact, so work does not reset every time ownership changes.
Source-following answers
Because everything lives in shared context, an agent can answer questions about prior decisions and cite the sources it used when following the trail of information.
Shared memory for people and agents
The product is positioned as a memory layer for both humans and AI agents, so the same knowledge can be read, written, and reasoned over by the whole team.
Use Cases
Maintaining decision history
Keep customer calls, specs, decisions, and follow-up notes connected so the team can trace why a change was made and what it affected later.
Shared AI collaboration
Let multiple teammates work in the same live Claude session, so a run can be observed, discussed, and handed off without losing context.
Onboarding and ramp-up
Give new engineers a place to ask questions about internal conventions and past choices, reducing the need to interrupt busy teammates for background.
Cross-team handoffs
Use the shared vault to find the reasoning behind a feature, policy, or implementation choice when a teammate needs to pick up work midstream.
Context-driven agent Q&A
Allow agents to answer questions by following links across the team knowledge graph and citing the source trail behind their response.
Pros and Cons
Pros
- Keeps team knowledge in one shared place that both people and AI agents can access.
- Supports collaborative live Claude sessions with real-time steering and shared history.
- Helps teams preserve the reasoning behind decisions, not just the final outcome.
- Uses linked notes and wikilinks to make related context easier to follow over time.
- Can help new team members ramp by asking the shared vault instead of relying on ad hoc explanations.
Cons
- The public sources do not include pricing, plan limits, or a trial structure.
- Supported integrations are not documented on the available pages, so setup scope is unclear.
- The product copy is high level and does not spell out technical requirements or deployment details.
FAQ
What is Compendium?
Compendium is presented as a shared live knowledge base for a team and its AI agents. It is meant to keep context, reasoning, and team memory in one place that people and agents can both read and write.
Is there pricing information available?
The source shows Compendium as available today and includes a sign-in page with email/password and Google sign-up options. It does not provide a pricing page or published plan details.
Can multiple people work in the same session?
The page describes shared Claude Code sessions where multiple teammates can sit inside one live session, watch the model reason, and steer it together. It also says teammates can hand off a run without losing history or context.
What tools does Compendium integrate with?
The sources do not list specific integrations. The product page emphasizes shared knowledge, live sessions, wikilinks, and agents that can read and write the same context.
Who is Compendium for?
Compendium is aimed at teams that want persistent organizational memory across people, agents, sessions, and machines. The copy highlights onboarding, shared context, and retaining the reasoning behind past decisions.
Quick Facts
- Product
- Compendium
- Category
- AI knowledge base / team memory
- Primary users
- Teams using Claude Code sessions and AI agents
- Site
- cerenovus.ai
- Availability
- Available today
- Related product
- Noesis, the enterprise AI platform from Cerenovus
Compendium Alternativen
Falconer
Falconer is an AI-powered company brain that keeps internal documentation accurate, searchable, and up to date by syncing with tools like GitHub, Slack, and Linear. It helps engineering and cross-functional teams centralize knowledge and answer questions from a shared source of truth.
Dcyde
Dcyde is a decision log for product teams that captures what was decided, the reasoning behind it, and the source in one shared place. It supports pinning decisions from Slack, Figma, or inside Dcyde and keeps the record searchable over time.
Theneo
Theneo is a developer portal and API documentation platform for publishing references, guides, changelogs, and private customer portals. It supports collaborative editing, automated changelogs, and AI-facing doc features for technical teams.
Goldfish
Goldfish is an AI memory app for macOS that helps you reply, write, summarize, and continue using the context already on your Mac. It stores memory locally and writes in your tone.
Lasso
Lasso is an ecommerce product data platform for enriching catalog records, processing supplier files, generating product content, and monitoring competitors. It combines a web app with a REST API, SDK, and MCP server for teams and developers.
Biji
Biji ist eine vielseitige Plattform, die entwickelt wurde, um die Produktivität durch innovative Werkzeuge und Funktionen zu steigern.