Taskive
Gives Claude and other coding agents persistent project memory of decisions, blockers and sprints via MCP, plus kanban tasks and risk scoring.
not read yet
Use
- For
- Engineering teams using Claude, Cursor or Codex who want AI agents to read project context before coding.
- Price
- Price not readpricing page, read 2026-10-13 ↗
- Activity
- Actively maintainedsite updated 2 days ago
- Company
- Domain since 2026domain registered
- Extract tasks from PDFs and pasted meeting notes
- Let Claude query decisions and blockers before coding
- Score each task's risk on a 5x5 matrix
- Domain since2026domain registered
- Trains on your dataNoprivacy policy ↗
- Certifications they stateGDPRprivacy policy ↗
- Privacy policy updated2026-07-04privacy policy ↗
“Prompt content is processed but not used to train models under standard API terms.”
privacy policy ↗
These are Taskive's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
- MCP serverai.taskive/mcpverified in the MCP registry
- Stateanswers, requires sign-inchecked 2026-10-13
- Address to connectmcp.taskive.ai/mcp
- MCP docstaskive.ai/mcpthe vendor's page ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Figure and bar: visits/mo, estimate · year: online since
- #1
Clor
Multiplexes Claude and Codex agents across isolated containers with shared memory and parallel execution.
521ActiveFree plan - #2
code-review-graph
Builds a local graph of a codebase and serves it to AI code review tools over MCP and a CLI so they need less context.
195not readOpen source - #3
Stele · Agentic LedgerMCP · sign-in
Stores project decisions, tasks, and lessons in shared memory that coding agents read and write across sessions.
38ActiveFrom $12/mo - #4
Engram
Provides persistent memory and knowledge graphs for AI coding agents across sessions with semantic recall and automatic consolidation.
29ActiveFrom $29/mo - #5
dlogs
Stores team coding decisions with rationale so agents can query constraints before modifying code.
12Active— - #6
Multinex
Stores approved business definitions, policies and decisions as persistent memory that MCP-compatible AI agents read across sessions.
7Active—
What is Taskive?
Gives Claude and other coding agents persistent project memory of decisions, blockers and sprints via MCP, plus kanban tasks and risk scoring. It is listed in the Atlas under Developer tools.
Who is Taskive for?
Engineering teams using Claude, Cursor or Codex who want AI agents to read project context before coding.
Do people use Taskive?
Little sign of use.
Is Taskive still maintained?
Actively maintained: site updated 2 days ago.
Does Taskive train AI on your data?
No, per its privacy policy (2026-10-13): “Prompt content is processed but not used to train models under standard API terms.”
Is Taskive safe?
We do not audit vendors. What Taskive publishes, read 2026-10-13: GDPR stated on its privacy policy; on training with your data, “Prompt content is processed but not used to train models under standard API terms.”.
What are alternatives to Taskive?
In Developer tools, by use: Clor, code-review-graph, Stele · Agentic Ledger, Engram, dlogs, Multinex.
Not quite it? Describe the job
betaFive tools from the Atlas that fit it, each judged against what you wrote.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.