Rank #2 of 5 in Meeting AI & Notetakers
Showcase


Try itExperimental
See what an agent can do with Fellow before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).
$curl -si -X POST https://fellow.app/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'recorded session — replayed, not liveVerified integrations
Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.
By theme — the product's score on each story themeBy theme
Agent access — MCP, CLI, and API access for agentsAgent accessevidence →
MCP, CLI, and API access for agents
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Calendar workflow — stories about calendar workflow in this arenaCalendar workflowevidence →
Stories about calendar workflow in this arena
Capture recording — stories about capture recording in this arenaCapture recordingevidence →
Stories about capture recording in this arena
Integrations crm — stories about integrations crm in this arenaIntegrations crmevidence →
Stories about integrations crm in this arena
Meeting memory search — stories about meeting memory search in this arenaMeeting memory searchevidence →
Stories about meeting memory search in this arena
Notes summaries — stories about notes summaries in this arenaNotes summariesevidence →
Stories about notes summaries in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plansevidence →
Plan structure and value — what each tier costs and what it unlocks
Privacy consent — stories about privacy consent in this arenaPrivacy consentevidence →
Stories about privacy consent in this arena
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Sharing collaboration — stories about sharing collaboration in this arenaSharing collaborationevidence →
Stories about sharing collaboration in this arena
Transcription accuracy — stories about transcription accuracy in this arenaTranscription accuracyevidence →
Stories about transcription accuracy in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 0 free · 0 paid · 6 enterprise · 22 not stated in evidence
Follow the green: where the map greys out is where Fellow stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agent access — MCP, CLI, and API access for agentsAgent access
MCP, CLI, and API access for agents
Agent ops
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
✓8/10
unlocks → Official SDKs · Machine-readable spec · Versioning policy · API sandbox · Headless / CI · Meeting notes and summaries sync automatically onto the right contact and deal records in my CRM (HubSpot, Salesforce, Attio) · Notes flow into the tools where work happens — Slack channels, Notion pages, and thousands of apps via Zapier
Subscribe to events via webhooks
✓7/10
Build against official SDKs
—0/10
Issue scoped/least-privilege API credentials for an agent
~5/10
unlocks → Headless / CI
Connect an agent via an official MCP server
✓9/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
—–
Explore an interactive API reference with runnable examples
~3/10
Docs for agents
Point an agent at llms.txt or agent-oriented docs
✓8/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
~4/10
unlocks → MCP client
Operate the product with natural-language commands
~7/10
Plug MCP servers into this product so it can use their tools
—–
Get AI-generated insights and suggestions from my data inside the product
✓8/10
Set up automations that run autonomously in the background
~5/10
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Calendar workflow — stories about calendar workflow in this arenaCalendar workflow
Stories about calendar workflow in this arena
Capture recording — stories about capture recording in this arenaCapture recording
Stories about capture recording in this arena
Capture
Integrations crm — stories about integrations crm in this arenaIntegrations crm
Stories about integrations crm in this arena
Meeting memory search — stories about meeting memory search in this arenaMeeting memory search
Stories about meeting memory search in this arena
Notes summaries — stories about notes summaries in this arenaNotes summaries
Stories about notes summaries in this arena
Summaries
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans
Plan structure and value — what each tier costs and what it unlocks
Privacy consent — stories about privacy consent in this arenaPrivacy consent
Stories about privacy consent in this arena
Privacy
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Sharing collaboration — stories about sharing collaboration in this arenaSharing collaboration
Stories about sharing collaboration in this arena
Transcription accuracy — stories about transcription accuracy in this arenaTranscription accuracy
Stories about transcription accuracy in this arena
Transcription
Sorted by importance (agentic first) (high → low) · 54/54 stories · click a row’s chevron for the rationale and evidence
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 9/10 | Tprobed⚿ | |
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Tprobed | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | partial | 4/10 | Cclaimed | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | untested | none yet | |
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed⚿ | |
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 7/10 | Tprobed⚿ | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Cclaimed | |
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partialenterprise | 5/10 | Cclaimed | |
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 5/10 | Cclaimed | |
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 3/10 | Tprobed | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | none | untested | none yet | |
An official MCP server lets Claude or any MCP client query my meetings — search, transcripts, action items — with OAuth, no glue code C Agent ops | ai-native user | Agent access — MCP, CLI, and API access for agentsAgent access | 3 | full | 9/10 | Tprobed⚿ | |
Action items with owners are automatically extracted from the conversation and collected somewhere I can track them C Summaries | product manager | Notes summaries — stories about notes summaries in this arenaNotes summaries | 3 | full | 8/10 | Cclaimed | |
Capture and transcribe meetings without a visible bot joining the call — audio is captured from my device so external participants see nothing extra C Capture | founder | Capture recording — stories about capture recording in this arenaCapture recording | 3 | full | 8/10 | Cclaimed | |
I get a structured summary right after each meeting — key points, decisions, and next steps — good enough to share without editing C Summaries | product manager | Notes summaries — stories about notes summaries in this arenaNotes summaries | 3 | full | 8/10 | Cclaimed | |
My scripts can pull transcripts, summaries, and action items from every meeting through a documented API with self-serve keys C Agent ops | ai-native user | Agent access — MCP, CLI, and API access for agentsAgent access | 3 | full | 8/10 | Tprobed⚿ | |
Search across every past meeting — transcripts, summaries, and notes — and jump to the exact moment something was said C Memory | product manager | Meeting memory search — stories about meeting memory search in this arenaMeeting memory search | 3 | full | 7/10 | Tprobed⚿ | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | partialenterprise | 6/10 | Cclaimed | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | partial | 4/10 | Cclaimed | |
I connect Google or Outlook calendar once and control per-meeting-type rules for which meetings get captured automatically C Calendar | product manager | Calendar workflow — stories about calendar workflow in this arenaCalendar workflow | 3 | partial | 3/10 | Cclaimed | |
Meeting notes and summaries sync automatically onto the right contact and deal records in my CRM (HubSpot, Salesforce, Attio) C Integrations | sales lead | Integrations crm — stories about integrations crm in this arenaIntegrations crm | 3 | none | 0/10 | ||
The product ships real consent features — participant notifications, in-meeting disclosure, or admin-enforced transparency — not just a policy PDF C Privacy | it admin | Privacy consent — stories about privacy consent in this arenaPrivacy consent | 3 | none | 0/10 | ||
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | untested | none yet | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | n/a | untested | none yet | |
The transcript attributes words to the right named speakers (diarization plus real name matching), not just "Speaker 1/2" C Transcription | product manager | Transcription accuracy — stories about transcription accuracy in this arenaTranscription accuracy | 3 | none | untested | none yet | |
The vendor documents how transcription actually works and its quality (models, accuracy claims, known limits) rather than just saying "AI-powered" C Transcription | product manager | Transcription accuracy — stories about transcription accuracy in this arenaTranscription accuracy | 3 | none | untested | none yet | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | fullenterprise | 8/10 | Cclaimed | |
The notetaker reliably captures Zoom, Google Meet, and Microsoft Teams meetings, with recording where I want it C Capture | product manager | Capture recording — stories about capture recording in this arenaCapture recording | 2 | full | 8/10 | Cclaimed | |
Ask questions in natural language across my whole meeting history ("what did we decide about pricing?") and get answers with sources G Memory | product manager | Meeting memory search — stories about meeting memory search in this arenaMeeting memory search | 2 | partial | 7/10 | Tprobed⚿ | |
Set retention policies — auto-delete transcripts and recordings on a schedule — and permanently erase data on demand C Privacy | it admin | Privacy consent — stories about privacy consent in this arenaPrivacy consent | 2 | partialenterprise | 6/10 | Cclaimed | |
An agent can automatically file each meeting's action items into my project tracker (Linear, Jira, Asana) using the product's API, webhooks, or native automations C Agent ops | ai-native user | Agent access — MCP, CLI, and API access for agentsAgent access | 2 | partial | 5/10 | Tprobed⚿ | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partial | 5/10 | Tprobed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partialenterprise | 5/10 | Cclaimed | |
Sharing is controlled — private-by-default notes, granular link/folder/workspace permissions, and admin visibility into what's shared C Sharing | it admin | Sharing collaboration — stories about sharing collaboration in this arenaSharing collaboration | 2 | partialenterprise | 5/10 | Cclaimed | |
Record and transcribe in-person conversations from a mobile app, and those notes land in the same searchable workspace C Capture | founder | Capture recording — stories about capture recording in this arenaCapture recording | 2 | none | 0/10 | ||
Start free and see exactly what each paid tier costs and adds — no "talk to sales" wall for basic use G Pricing | founder | Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans | 2 | none | 0/10 | ||
The vendor documents whether meeting data trains AI models and gives my org an enforceable opt-out, alongside SOC 2 / HIPAA posture C Privacy | it admin | Privacy consent — stories about privacy consent in this arenaPrivacy consent | 2 | none | 0/10 | ||
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Notes flow into the tools where work happens — Slack channels, Notion pages, and thousands of apps via Zapier C Integrations | product manager | Integrations crm — stories about integrations crm in this arenaIntegrations crm | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | n/a | untested | none yet | |
Run meetings in languages other than English — transcription and summaries support many languages and handle language switching C Transcription | founder | Transcription accuracy — stories about transcription accuracy in this arenaTranscription accuracy | 2 | none | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | untested | none yet | |
Shape the notes with custom templates or saved prompts per meeting type (discovery call, 1:1, standup) instead of one generic format C Summaries | sales lead | Notes summaries — stories about notes summaries in this arenaNotes summaries | 2 | none | untested | none yet | |
I walk into each meeting prepped — the tool surfaces past meetings with the same people and a brief of open threads before the call C Calendar | founder | Calendar workflow — stories about calendar workflow in this arenaCalendar workflow | 1 | partial | 5/10 | Cclaimed | |
The tool drafts my follow-up email from the meeting so I can review and send it in a couple of clicks C Summaries | sales lead | Notes summaries — stories about notes summaries in this arenaNotes summaries | 1 | none | 0/10 | ||
Cut a soundbite or highlight clip from a call and share that moment instead of the whole recording C Sharing | sales lead | Sharing collaboration — stories about sharing collaboration in this arenaSharing collaboration | 1 | none | untested | none yet | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | none | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 38 stories with headroom
What would move Fellow’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools
nonemoves agent-readyimpact 45
All evidence describes Fellow acting as an MCP *server*, exposing its own meeting data/tools to external AI assistants (Claude, ChatGPT, Cursor) — the opposite direction of this story, which asks whether a user can plug external MCP servers into Fellow so Fellow itself can use their tools.
Privacy consent — stories about privacy consent in this arenaThe product ships real consent features — participant notifications, in-meeting disclosure, or admin-enforced transparency — not just a policy PDF
nonemoves PA Scoreimpact 30
The evidence shows admin-side policy controls (retention settings, org-wide recording/access policies) and user-side recording controls, but nothing describing participant-facing consent mechanisms such as in-meeting recording disclosure banners, automated participant notifications when a bot joins, or admin-enforced transparency toward attendees.
Integrations crm — stories about integrations crm in this arenaMeeting notes and summaries sync automatically onto the right contact and deal records in my CRM (HubSpot, Salesforce, Attio)
nonemoves PA Scoreimpact 30
The evidence describes Fellow's Developer API, webhooks, and MCP server for accessing transcripts/notes/action items, but there is no mention of any native integration or automatic sync with HubSpot, Salesforce, or Attio contact/deal records.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
The evidence pack covers retention policies, redaction, recording controls, and API/MCP access, but contains no statement about whether Fellow uses customer data to train AI models or any opt-out mechanism for AI training.
Transcription accuracy — stories about transcription accuracy in this arenaThe transcript attributes words to the right named speakers (diarization plus real name matching), not just "Speaker 1/2"
nonemoves PA Scoreimpact 30
The evidence pack covers API access, webhooks, MCP server, and recording/retention features, but nowhere mentions speaker diarization or matching transcript segments to real named speakers versus generic labels like 'Speaker 1/2'.
Transcription accuracy — stories about transcription accuracy in this arenaThe vendor documents how transcription actually works and its quality (models, accuracy claims, known limits) rather than just saying "AI-powered"
nonemoves PA Scoreimpact 30
The evidence pack covers API access, MCP server, webhooks, and recording/retention features, but contains no documentation of the transcription model used, accuracy benchmarks, or known limitations (e.g., accent/language handling, error rates).
Agenticness — how well agents can access and operate the productRun the product headlessly / in CI for automation
nonemoves agent-readyimpact 30
The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".
Agenticness — how well agents can access and operate the productBuild against official SDKs
nonemoves agent-readyimpact 30
Fellow documents a REST Developer API with API-key auth, webhooks, and endpoints for recordings/notes/action items, but no evidence names an official SDK (e.g., Python/JS client library); the openapi.json/swagger probe returned 404 across all standard paths, suggesting no formal spec-based SDK generation either.
Showing the top 8 of 38 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map7 surfaces · 28 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
API reference24 stories
- An agent can automatically file each meeting's action items into my project tracker (Linear, Jira, Asana) using the product's API, webhooks, or native automations
- An official MCP server lets Claude or any MCP client query my meetings — search, transcripts, action items — with OAuth, no glue code
- My scripts can pull transcripts, summaries, and action items from every meeting through a documented API with self-serve keys
- Point an agent at llms.txt or agent-oriented docs
- Connect an agent via an official MCP server
- Drive the product through a documented public API
- Issue scoped/least-privilege API credentials for an agent
- Subscribe to events via webhooks
- Get AI-generated insights and suggestions from my data inside the product
- Set up automations that run autonomously in the background
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Explore an interactive API reference with runnable examples
- Perform bulk operations across many items at once
- Define rules that trigger actions automatically on events
- I walk into each meeting prepped — the tool surfaces past meetings with the same people and a brief of open threads before the call
- Ask questions in natural language across my whole meeting history ("what did we decide about pricing?") and get answers with sources
- Search across every past meeting — transcripts, summaries, and notes — and jump to the exact moment something was said
- Action items with owners are automatically extracted from the conversation and collected somewhere I can track them
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- Set retention policies — auto-delete transcripts and recordings on a schedule — and permanently erase data on demand
- Control data retention and deletion
- Sharing is controlled — private-by-default notes, granular link/folder/workspace permissions, and admin visibility into what's shared
Features docs13 stories
- An official MCP server lets Claude or any MCP client query my meetings — search, transcripts, action items — with OAuth, no glue code
- Connect an agent via an official MCP server
- Get AI-generated insights and suggestions from my data inside the product
- Set up automations that run autonomously in the background
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- I walk into each meeting prepped — the tool surfaces past meetings with the same people and a brief of open threads before the call
- The notetaker reliably captures Zoom, Google Meet, and Microsoft Teams meetings, with recording where I want it
- Capture and transcribe meetings without a visible bot joining the call — audio is captured from my device so external participants see nothing extra
- Ask questions in natural language across my whole meeting history ("what did we decide about pricing?") and get answers with sources
- Search across every past meeting — transcripts, summaries, and notes — and jump to the exact moment something was said
- Action items with owners are automatically extracted from the conversation and collected somewhere I can track them
- I get a structured summary right after each meeting — key points, decisions, and next steps — good enough to share without editing
developers.fellow.ai6 stories
- My scripts can pull transcripts, summaries, and action items from every meeting through a documented API with self-serve keys
- Drive the product through a documented public API
- Set up automations that run autonomously in the background
- Explore an interactive API reference with runnable examples
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
fellow.ai6 stories
- I connect Google or Outlook calendar once and control per-meeting-type rules for which meetings get captured automatically
- The notetaker reliably captures Zoom, Google Meet, and Microsoft Teams meetings, with recording where I want it
- Capture and transcribe meetings without a visible bot joining the call — audio is captured from my device so external participants see nothing extra
- Set retention policies — auto-delete transcripts and recordings on a schedule — and permanently erase data on demand
- Control data retention and deletion
- Sharing is controlled — private-by-default notes, granular link/folder/workspace permissions, and admin visibility into what's shared
En docs5 stories
- An official MCP server lets Claude or any MCP client query my meetings — search, transcripts, action items — with OAuth, no glue code
- Connect an agent via an official MCP server
- Issue scoped/least-privilege API credentials for an agent
- Operate the product with natural-language commands
- Sharing is controlled — private-by-default notes, granular link/folder/workspace permissions, and admin visibility into what's shared
OpenAPI spec4 stories
Probe proofs — replayable recordings from the probe harnessProbe proofs
Replayable recordings from our probe harness — see the Prove-It protocol to submit one.
$curl -si -X POST https://fellow.app/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'reproduced$ curl -si -X POST https://fellow.app/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>' HTTP/2 401 date: Sat, 05 Sep 2026 04:34:23 GMT content-type: text/plain; charset=utf-8 content-length: 13 strict-transport-security: max-age=15552000; includeSubDomains; preload www-authenticate: Bearer realm="Restricted" x-content-type-options: nosniff cf-cache-status: DYNAMIC server: cloudflare cf-ray: a3628570de0acf1f-SJC Unauthorized
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
5 of 16 testable claims verified · 2 contradicted → integrity 6/100
26 distinct capability claims found in Fellow’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
5
Verified
9
Unverified
2
Contradicted
14
Undersold
Verified (9)
“Developer API exposes meeting transcripts and structured notes via standard REST calls”
My scripts can pull transcripts, summaries, and action items from every meeting through a documented API with self-serve keysfullproof ↗
“API can list meeting recordings with filters and pagination”
My scripts can pull transcripts, summaries, and action items from every meeting through a documented API with self-serve keysfullproof ↗
“API can append content to the end of a note's agenda without overwriting existing content”
Drive the product through a documented public APIfullproof ↗
“Users can ask natural-language questions about their meetings, like what action items were assigned this week”
Ask questions in natural language across my whole meeting history ("what did we decide about pricing?") and get answers with sourcespartialproof ↗
“MCP Connector works with any AI tool that supports connectors, avoiding platform lock-in”
An official MCP server lets Claude or any MCP client query my meetings — search, transcripts, action items — with OAuth, no glue codefullproof ↗
“MCP Server lets an AI Assistant answer questions about meetings without writing any code”
An official MCP server lets Claude or any MCP client query my meetings — search, transcripts, action items — with OAuth, no glue codefullproof ↗
“Every meeting produces a full transcript that is searchable for instant access to past context”
Search across every past meeting — transcripts, summaries, and notes — and jump to the exact moment something was saidfullproof ↗
“AI chatbots like Claude, ChatGPT, or Cursor can directly access meeting recaps, notes, and action items”
An official MCP server lets Claude or any MCP client query my meetings — search, transcripts, action items — with OAuth, no glue codefullproof ↗
“Transcripts can be passed to an LLM through the API for tailored recaps and action plans”
My scripts can pull transcripts, summaries, and action items from every meeting through a documented API with self-serve keysfullproof ↗
Unverified (14)
“API requests are authenticated with an API key in the Authorization header”
Issue scoped/least-privilege API credentials for an agentpartialproof ↗
“Webhooks deliver real-time notifications when events occur in Fellow”
“API can list action items with filters and pagination”
Action items with owners are automatically extracted from the conversation and collected somewhere I can track themfullproof ↗
“Super Admin API keys can act on behalf of any user in the workspace via a header”
Issue scoped/least-privilege API credentials for an agentpartialproof ↗
“Workspace admins can control which MCP tools members' AI assistants are allowed to use”
Sharing is controlled — private-by-default notes, granular link/folder/workspace permissions, and admin visibility into what's sharedpartialproof ↗
“Meetings can be recorded with a visible bot or bot-free by capturing audio from the desktop, across Zoom, Meet, Teams, Slack Huddles, and in-person meetings”
Capture and transcribe meetings without a visible bot joining the call — audio is captured from my device so external participants see nothing extrafullproof ↗
“Meetings can be recorded with a visible bot or bot-free by capturing audio from the desktop, across Zoom, Meet, Teams, Slack Huddles, and in-person meetings”
The notetaker reliably captures Zoom, Google Meet, and Microsoft Teams meetings, with recording where I want itfullproof ↗
“Org-wide policies can be set governing how meetings are recorded, accessed, and retained”
Set retention policies — auto-delete transcripts and recordings on a schedule — and permanently erase data on demandpartialproof ↗
“Super Admin API allows Enterprise admins to retrieve, export, and delete data across the entire workspace”
Export all of my data in open formats and leavepartialproof ↗
“Some API requests are authenticated via an X-API-KEY header”
Issue scoped/least-privilege API credentials for an agentpartialproof ↗
“Users can generate new named API keys for their applications”
Issue scoped/least-privilege API credentials for an agentpartialproof ↗
“Action items can be filtered to show only those assigned to the current user versus teammates”
Action items with owners are automatically extracted from the conversation and collected somewhere I can track themfullproof ↗
“Meetings automatically generate a summary, AI-suggested action items, decisions, and topic-based minutes”
I get a structured summary right after each meeting — key points, decisions, and next steps — good enough to share without editingfullproof ↗
“Configurable data retention policies can be set, including zero-day retention”
Set retention policies — auto-delete transcripts and recordings on a schedule — and permanently erase data on demandpartialproof ↗
Contradicted (2)
“Meetings can be recorded with a visible bot or bot-free by capturing audio from the desktop, across Zoom, Meet, Teams, Slack Huddles, and in-person meetings”
Record and transcribe in-person conversations from a mobile app, and those notes land in the same searchable workspacenoneproof ↗
“Users can pause or resume recording to keep parts of a conversation off the record”
The product ships real consent features — participant notifications, in-meeting disclosure, or admin-enforced transparency — not just a policy PDFnoneproof ↗
Undersold (14)
An agent can automatically file each meeting's action items into my project tracker (Linear, Jira, Asana) using the product's API, webhooks, or native automationspartialproof ↗
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Get AI-generated insights and suggestions from my data inside the productfullproof ↗
Set up automations that run autonomously in the backgroundpartialproof ↗
Delegate tasks to a built-in AI assistant inside the productpartialproof ↗
Operate the product with natural-language commandspartialproof ↗
Explore an interactive API reference with runnable examplespartialproof ↗
Perform bulk operations across many items at oncepartialproof ↗
Define rules that trigger actions automatically on eventspartialproof ↗
I connect Google or Outlook calendar once and control per-meeting-type rules for which meetings get captured automaticallypartialproof ↗
I walk into each meeting prepped — the tool surfaces past meetings with the same people and a brief of open threads before the callpartialproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Claims outside our story set (3)
Real capability claims found in Fellow’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Keyword tracking across meetings”
source ↗“Transcripts can be redacted”
source ↗“Admin dashboards can be built to display data from a specific user's perspective”
source ↗
Business model
Free plan with 5 lifetime AI notes; Team ($7/user/month annual) and Business ($15/user/month annual) raise limits and add automations and CRM integrations; Enterprise ($25/user/month annual, 10+ users) adds admin/compliance controls.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Try Experimental
Run it in the microterminal →Recorded agent sessions — and a live MCP handshake where the vendor ships one.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
Agent surface uptime MCP 100% · llms.txt 100% (30d, checked every 6h since Sep 8 '26)
