Jumbo.Cli is live · free plan; paid price not published · last verified 24 Oct 2026 · viability monitor
Jumbo.Cli
Jumbo.Cli gives AI coding agents persistent project memory from a local-first CLI, so you stop re-onboarding Claude Code every session.
If re-explaining your codebase to Claude Code every morning is the tax you pay for agentic coding, Jumbo is the most direct way to stop paying it. It's free and open source for single-developer use, runs entirely out of your project's .jumbo/ directory, and its hooks plus immutable event stream beat hand-maintained markdown past a weekend project. The tradeoff versus plain AGENTS.md is moving parts: Jumbo needs harness support for AGENTS.md or open agent skills, so it does nothing without one.
Verdict generatedVerified 6d ago · liveness 61/100 · cite: rightaichoice.com/tools/jumbo-cli
- Solo developers running Claude Code or another terminal-based coding agent daily
- Developers tired of hand-maintaining markdown context files that go stale
- Builders running multiple agents in parallel on one codebase
- Privacy-minded developers who want all project data to stay local
- Teams needing shared cloud memory today — Jumbo Herd is still under development
- Developers who prefer GUI-based tooling over a terminal CLI
- Projects on harnesses without AGENTS.md or open agent skill support
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Skip Jumbo if your team needs shared cloud memory today rather than solo local memory — that shared capability is framed as Jumbo Herd and is still in development.
Jumbo is free and open source for single-developer use, which undercuts paid context/memory layers aimed at individuals. The cost that does exist is time rather than money: you curate goals and approve or pre-approve what gets captured. Teams needing shared memory can only wait for Jumbo Herd, currently in development with early access signup.
In short
Jumbo.Cli — Jumbo.Cli gives AI coding agents persistent project memory from a local-first CLI, so you stop re-onboarding Claude Code every session. Best for Solo developers running Claude Code or another terminal-based coding agent daily, Developers tired of hand-maintaining markdown context files that go stale, Builders running multiple agents in parallel on one codebase. Free to start; it also has paid plans whose price we could not confirm — see the pricing table.
What is Jumbo.Cli?
Jumbo.Cli — Jumbo.Cli gives AI coding agents persistent project memory from a local-first CLI, so you stop re-onboarding Claude Code every session. Best for Solo developers running Claude Code or another terminal-based coding agent daily, Developers tired of hand-maintaining markdown context files that go stale, Builders running multiple agents in parallel on one codebase. Free to start; it also has paid plans whose price we could not confirm — see the pricing table.
Jumbo is a local-first command-line tool that hands your AI coding agent persistent project memory and structured context. Rather than maintaining markdown files by hand, you define a goal from the CLI or walk through a TUI wizard, and Jumbo binds your past decisions, invariants, and components to that goal, then serves the agent a spec tailored to it. Install runs in one global npm command, and the rest of setup is pointing Jumbo at your project before you start your agent. Four capabilities do the daily work. Automatic hooks fire at session start and inject relevant project context; a richer context packet is delivered the moment the agent begins a goal. Correction capture means you fix an agent once and the lesson is written to memory, applied to relevant goals later. Behind all of it sits an immutable event stream rather than a static snapshot, which keeps project history current and auditable and helps agents run longer without context rot. Everything stores in the project's .jumbo/ directory with no network calls. Jumbo is harness- and model-agnostic, built on AGENTS.md with fallback when hooks aren't available, and supports the open agent skill standard — so swapping agents or models doesn't cost you accumulated context. Multiple agents can run in parallel, matched to capability and cost, while Jumbo keeps them aligned. The team story — Jumbo Herd — is still under development. Against hand-maintained markdown, Jumbo trades a bit of workflow structure for memory that stays live: you approve each command or pre-approve for automation, and you can bypass the prescribed flow anytime. Where a plain AGENTS.md file is static, Jumbo is closer to a context-engineering layer with a fraction of the upkeep.
Key features
- Persistent project memory across agent sessions
- Automatic session-start hooks that inject relevant project context
- Richer context packet delivered when an agent begins work on a goal
- Goal definition via CLI or guided TUI wizard
- Goal-bound spec generation that attaches past memories to the current goal
- Captures decisions, invariants, and components as learnings
- Correction capture — fix an agent once and the lesson applies to future goals
- Immutable event stream for auditable, always-current project history
- Context window management to prevent context rot in long sessions
- Parallel agents matched to capability and cost, kept in sync
- AGENTS.md support with fallback when hooks are unavailable
- Support for the open agent skill standard
- Harness-agnostic and model-agnostic operation
- Local-first storage in the project's .jumbo/ directory
- No network calls — nothing leaves your machine
Behind the verdict
Jumbo's pitch is narrow and honest: stop re-onboarding your coding agent every session. Pick it up if you run Claude Code or another terminal agent daily and you've already felt the drag of maintaining a markdown context file that goes stale the moment your architecture shifts. The immutable event stream is the real differentiator here — it's a living record of decisions, invariants, and components rather than a snapshot you keep hand-editing. Where it earns its keep is longer, multi-session builds. The hooks mean near-zero config: install the npm package, run Jumbo in the project, start your agent, and context is injected at session start with a richer packet when work on a goal begins. The correction-capture loop is the feature we'd lean on most — fix the agent once and Jumbo applies the lesson to relevant future goals instead of you repeating yourself. Watch the moving-parts caveat. Jumbo works through harness support for AGENTS.md or the open agent skill standard, so on a harness with neither it simply does nothing. That's a real compatibility gate, not a footnote. And you do adopt an opinionated workflow — you can bypass it, and you choose between approving every Jumbo command or pre-approving for automation, but it's still a workflow change rather than a drop-in. Parallel-agent orchestration is a bonus worth knowing about. Running several agents matched to capability and cost while Jumbo keeps them synced on one goal is a genuine fit for builders who've been juggling separate threads and watching context fall apart. Local-first storage in .jumbo/ with no network calls makes it an easy sell for privacy-minded developers too. Team-shared memory is where to pause. A cloud version, Jumbo Herd, is under development — there's an early-access signup, but no shipped
Limitations
- Jumbo is model-agnostic and harness-agnostic, so the quality of its memory depends on the underlying agent/model rather than on a model Jumbo ships.
- It integrates through your harness's support for AGENTS.md or the open agent skill standard — on a harness that supports neither, that integration fails.
- Context window limits belong to the underlying model, not to Jumbo; Jumbo manages what goes into the window, it does not enlarge it.
- Shared team memory is referenced as Jumbo Herd and the evidence indicates it is still in development.
- Jumbo also asks something of you: you define and curate goals, and it works best when you stay involved in approving or pre-approving what gets captured.
as of 2026-10-07
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Is Jumbo.Cli still active?
Jumbo.Cli is live · free plan; paid price not published · last verified 24 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Jumbo.Cli? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Jumbo.Cli?
What people actually say about Jumbo.Cli — is it worth it?
Our community sentiment research written Jul 5, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Jumbo.Cli— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 24 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Jumbo.Cli 11 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed SSL certificate
- — changed who it suits, our verdict, who should skip it, features, description, summary, pricing tiers
- — changed pricing page
- — changed pricing fit, switching out, who should skip it, use cases, our verdict, who it suits, summary, features, hidden costs, limitations, description, setup time, switching in
- — changed limitations
- — changed our verdict, description, features, summary, pricing tiers, who it suits, who should skip it
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Jumbo.Cli cost in 2026?
Jumbo.Cli: Free to start; it also has paid plans whose price we could not confirm — see the pricing table. Pricing last verified 24 Oct 2026.
Plans compared
Every published Jumbo.Cli tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Single Developer | Free | — | Solo developer running Claude Code or another AGENTS.md-capable terminal agent on their own machine.Adds: Starting tier: free and open source, local-first storage in .jumbo/, automatic session hooks, and goal definition via CLI or TUI wizard, with no config files, API keys, or login required. |
| Jumbo Herd (Team) | Coming soon | — | Teams that want one shared project memory across every engineer and agent rather than memory isolated per developer machine.Adds: Adds shared cloud-based team context on top of the single-developer local memory — early access signup is available, but it is under development and not yet generally available. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Jumbo.Cli's pricing actually pencils out — and where peers do it cheaper.
Jumbo is free and open source for single-developer use, which undercuts paid context/memory layers aimed at individuals. The cost that does exist is time rather than money: you curate goals and approve or pre-approve what gets captured. Teams needing shared memory can only wait for Jumbo Herd, currently in development with early access signup.
Has Jumbo.Cli's pricing changed?
No plan price for Jumbo.Cli has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Jumbo.Cli?
Pick Jumbo.Cli if you are Solo developers running Claude Code or another terminal-based coding agent daily, Developers tired of hand-maintaining markdown context files that go stale, Builders running multiple agents in parallel on one codebase, Privacy-minded developers who want all project data to stay local.
Look elsewhere if you are Teams needing shared cloud memory today — Jumbo Herd is still under development, Developers who prefer GUI-based tooling over a terminal CLI, Projects on harnesses without AGENTS.md or open agent skill support, Anyone wanting a zero-workflow-change drop-in that requires no curated goals.
Skip it if Skip Jumbo if your team needs shared cloud memory today rather than solo local memory — that shared capability is framed as Jumbo Herd and is still in development.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Jumbo.Cli actually fits — and what changes day-one when you adopt it.
You install with npm i -g jumbo-cli, run jumbo in your project directory, then start claude. Jumbo hooks into the session and injects your existing decisions and invariants; you define today's goal from the CLI and the agent receives a spec scoped to it.
Outcome: Your session starts already informed, instead of you spending the first ten minutes getting the agent caught up.
You keep several agents working different tasks on the same codebase, matching each to capability and cost, while Jumbo holds the shared memory and injects goal-specific context per agent.
Outcome: The agents stay on the same page and long sessions do not rot, so you orchestrate rather than babysit one agent at a time.
You move from one agent harness or model to another that supports AGENTS.md or open agent skills, and point it at the same .jumbo/ project data.
Outcome: Everything Jumbo has learned comes with you, so switching tools does not reset what your agents know about the project.
Use cases
- Keep architecture decisions and invariants across sessions so you stop re-explaining your codebase to Claude Code
- Run several agents in parallel on different tasks while Jumbo keeps them working from the same context
- Correct an agent's mistake once and have that lesson applied to relevant goals later
- Switch between agent harnesses or models without losing accumulated project knowledge
- Onboard a fresh agent by serving it a goal-specific context packet
- Prevent context rot during long agent sessions with automatic window management
- Audit what was decided and when through the immutable event stream
Setup time & first value
How long it actually takes to get something useful out of Jumbo.Cli — broken out by persona, not the marketing-page minute.
Solo developer: minutes, not hours — one global npm install, run jumbo in the project directory, then start your agent and Jumbo hooks into the session. The ongoing cost is curating goals rather than configuring files. Harnesses without AGENTS.md or open agent skill support will not integrate at all.
Tutorials & Learning
YouTube returned 6 videos for “Jumbo.Cli”, and we withheld 5: 5 did not mention Jumbo.Cli. Showing the 1 we can prove is about Jumbo.Cli.
Official links
What are the best Jumbo.Cli alternatives?
The closest alternatives to Jumbo.Cli we list are Memoryport, Projectmem and PMB. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Memoryport | Freemium | Pricing not published | — |
| Projectmem | Free | Free | — |
| PMB | Free | Free | — |
Alternatives to Jumbo.Cli
View all
Memoryport
Memoryport is a local-first memory layer that gives Claude Code, Cursor, Ollama and OpenAI persistent context across every session.
Projectmem
Local-first coding agent memory that records issues, failed attempts and fixes inside your repo and feeds them back to Claude Code, Cursor or Codex at session
Tools that pair well with Jumbo.Cli
Common stack mates teams adopt alongside Jumbo.Cli, with the specific reason each pairing earns its keep.
Memoryport
Memoryport is a local-first memory layer that gives Claude Code, Cursor, Ollama and OpenAI persistent context across every session.
Projectmem
Local-first coding agent memory that records issues, failed attempts and fixes inside your repo and feeds them back to Claude Code, Cursor or Codex at session
PMB
Local-first memory layer that gives your AI coding agent a SQLite file it can recall from between sessions.
Jumbo.Cli vs its closest rival
Jumbo.Cli's closest head-to-head is with Spider Cloud — Jumbo.Cli and Spider Cloud serve entirely different needs. Jumbo.Cli is a local-first memory tool for AI coding agents, tackling agent amnesia and context rot, best for developers who want consistent, high-quality code from their agents without vendor lock-in. Spider Cloud is a cloud-based web scraping and crawling API optimized for AI agents and RAG pipelines, offering fast, structured data extraction at low cost. Choose Jumbo if your pain point is agent memory and code consistency; choose Spider if you need real-time web data for your AI workflows. Verdict generated
Head-to-head comparisons
Jumbo Cli vs Spider Cloud
Jumbo.Cli and Spider Cloud serve entirely different needs. Jumbo.Cli is a local-first memory tool for AI coding agents, tackling agent amnesia and context rot, best for developers who want consistent, high-quality code from their agents without vendor lock-in. Spider Cloud is a cloud-based web scraping and crawling API optimized for AI agents and RAG pipelines, offering fast, structured data extraction at low cost. Choose Jumbo if your pain point is agent memory and code consistency; choose Spider if you need real-time web data for your AI workflows.
GeneratedJumbo Cli vs Temporal Ai
Choose Temporal AI if you need reliable, fault-tolerant orchestration for complex AI agents or microservices, with features like automatic retries and human-in-the-loop. Choose Jumbo.Cli if you're a developer frustrated by coding agents forgetting context between sessions and want a lightweight, local-only memory solution.
GeneratedJumbo Cli vs Voyage Ai
Voyage AI and Jumbo.Cli solve entirely different problems: Voyage AI is an enterprise embedding API for improving search/retrieval in RAG pipelines, while Jumbo.Cli is a local CLI tool that gives coding agents persistent project memory. Your choice depends on whether you need better vector embeddings (Voyage) or to stop your coding agents from forgetting context (Jumbo). If you're building RAG, go Voyage; if you're wrangling coding agents, go Jumbo.
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