The 6 Best Cross-Agent Session Memory Tools in 2026

A single feature's context in 2026 rarely lives in one place. Half of it sits in a Claude Code chat, half in Cursor, the tricky debugging thread is buried in Codex, and the decision that actually mattered happened on a teammate's laptop last Tuesday. Close the windows and the reasoning trail evaporates. Cross-agent session memory tools exist to stop that from happening — and the strongest option for teams is ZeroShot, the BuildBetter CLI (run as bb), which moves context across both agents and teammates. This guide compares six tools honestly, separates two problems people constantly conflate, and tells you which one fits your situation without over-buying.

The Problem: Your Context Dies When the Chat Closes

Every AI coding agent keeps its own memory silo, and closing the window usually destroys the reasoning trail. Your rationale, the dead ends you already ruled out, the debugging state — gone. The next session starts cold, and you re-explain what the last one already knew.

There are two distinct problems here that get lumped together:

• Cross-agent resume — moving your own context between the tools you use. You start in Cursor, continue in Claude Code, debug in Codex, and none of them share what the others learned.
• Cross-teammate sharing — moving that context between people. A teammate ships a feature, then you inherit a bare repo with no trail of why anything was built the way it was.

Most tools solve one of these well and neither perfectly. That distinction changes which tool you actually need. A few more axes matter too:

• Local-only vs cloud — does history ever leave your machine? Some teams treat this as non-negotiable.
• Agent coverage — which agents does the tool actually see into?
• Persistence model — in-session durability (an agent that keeps state while it runs) is a different capability from cross-session resume (recovering a finished chat later).

Get clear on whether your pain is solo-vs-team before you spend a dollar. The wrong answer is buying a team layer for a workflow that never crosses people.

How We Evaluated These Tools

We scored each tool on seven criteria that map directly to real buying decisions:

• Cross-agent support — does it work across multiple agents, or one?
• Cross-teammate sharing — can context travel between people?
• Local-only / privacy — does data stay on your machine or in your repo?
• Team skills / conventions — can your team's playbook ride along with the code?
• Persistence model — in-session durability vs cross-session resume.
• Open source — can you inspect, self-host, and contribute?
• Setup effort — minutes or an afternoon?

We biased toward tools you can actually run and verify — public GitHub repos, npm packages, real star counts, and named users. Every project below links to a primary source so you can check the claims yourself.

No tool wins on every axis. The right pick depends on whether you're solo or on a team, whether you switch agents, and how much you value keeping history local. We'll say plainly where each one earns its place — and where it's the wrong tool.

1. agent-hop — Best Free, Local-Only Resume for Solo Developers

agent-hop is the cleanest free answer for a solo developer who wants to resume work across their own agents. It searches across every chat in every supported agent — Claude Code, Codex, OpenCode, Pi, and Grok Build — and lets you jump back into any of them.

It's local-only. No cloud sync, no account, no history leaving your machine. That's a real feature for anyone working under strict privacy constraints or who simply doesn't want a vendor holding their session logs. It's open source and installs via npm, so setup is minimal. See agent-hop.com for the supported list.

When is it the right answer? Stated plainly: a solo developer who wants to resume across the agents they personally use does not need a team layer and should just use this. It's free and it does the job.

Honest limitation: agent-hop is single-machine and single-developer by design. It does not share context across teammates. The moment your problem becomes onboarding a new hire or handing a feature to a colleague, agent-hop stops being enough — not because it's bad, but because it was never built for the people axis.

2. ZeroShot — Best for Engineering Teams (Cross-Teammate, Not Just Cross-Agent)

ZeroShot is the tool to reach for when context has to cross people, not just agents. That's the honest differentiator against agent-hop: on top of cross-agent resume, ZeroShot adds cross-teammate resume. bb agent-sessions resume can pick up any teammate's session on your machine, in whatever agent you use.

ZeroShot — the BuildBetter CLI, run as bb — isn't another AI coding agent. It's the layer beneath them. It works underneath Claude Code, Cursor, Codex, GitHub Copilot, Gemini CLI, Windsurf, and Amazon Q. Every chat, file edit, and tool call is saved and indexed across repo, branch, PR, and commit — and stays searchable even after branches merge.

It combines three layers no other tool here puts together:

• Cross-agent, cross-teammate session memory — resume any session, yours or a teammate's, in any agent.
• Team-conventional skills — BB-Skills extends the AGENTS.md standard with composable skill packs. Commands like /bb-review, /bb-specify, and /bb-plan carry your team's actual playbook into every PR. They're open source on GitHub.
• Customer evidence — signals from BuildBetter.ai get pulled into specs and PR reviews, so you ship what customers actually asked for.

ZeroShot is privacy-first: no data leaves your repo without consent. It's used by Brex, Rappi, PostHog, AppFolio, Clay, Lufthansa, Procore, and Macmillan — a mix of high-growth SaaS and large enterprises.

The most durable ROI from a context layer isn't resume — it's onboarding. New engineers who inherit the reasoning trail and team conventions ramp dramatically faster than those handed a bare repo.

When it's not worth it: a solo developer resuming only their own sessions gets most of the value from agent-hop for free. ZeroShot earns its place when context has to cross people — for handoffs, onboarding, and conventions that travel with the code.

3. KiroCrew — Best Persistent Agent Workspace on Your Own Hardware

KiroCrew is the pick when you want durable persistence and self-hosting as first-class features. It's a persistent agent workspace where sessions, memory, schedules, and checkpoints survive restarts — corrections you make become durable lessons the workspace remembers. The repo (github.com/kirodotdev/kirocrew) sits around 2.8k stars.

It's multi-surface: desktop, web, and CLI, plus Slack, Discord, Telegram, and Teams. It's also security-forward, with OS sandboxing and audit logging — useful if you need to prove what an agent did and when.

Where it beats the lighter tools: durable persistence and running everything on your own hardware are built in, not bolted on. If a long-running workflow needs to survive machine restarts and stay auditable, KiroCrew handles that directly.

Trade-off: it's a workspace and agent-runtime, not a thin cross-agent memory layer. There's more to run and maintain. If all you want is to resume a Claude Code chat you had yesterday, this is heavier than the job requires.

4. Prime Agent — Best for Long-Running Autonomous Sessions

Prime Agent is built for autonomous, hours-long tasks that need durable state while they run. It's a long-running coding and research agent (github.com/PrimeIntellect-ai/prime-agent, ~14.9k stars — the strongest community traction on this list).

Its architecture is unusual: a Recursive Language Model, a "Continual Harness," persistent IPython with durable state, subagents, and a /refine self-improvement loop. Daemon-backed background sessions keep working while you're away, then hand you the result.

Where it stands out is durable in-session state for autonomous work — a genuinely different problem from resuming a human's cross-agent history. If you're delegating a multi-hour task and want it to keep its footing across long stretches, this is the category leader.

Be clear about what it is: Prime Agent is an agent with persistence, not a cross-agent memory layer. If you use multiple agents and multiple teammates, you'd pair it with the resume tools above, not replace them.

In-session durability and cross-agent resume are orthogonal. Autonomous long-running agents need the former; human hand-offs need the latter. Serious teams often run both.

5. Agent-Native Memory in Cursor & Claude Code

Both leading agents ship their own project memory, rules, and context features — and for single-agent work, that's often enough. Cursor's rules and Claude Code's memory persist within the agent across sessions on the same machine, giving you real single-developer continuity.

If you never leave one tool, don't over-buy. Native memory is genuinely sufficient for a true single-agent solo workflow, and it costs you nothing extra to use.

The wall people hit is predictable: memory is siloed per agent and per machine. It doesn't survive switching to Codex, and it doesn't survive handing off to a teammate. The context that Claude Code holds is invisible to Cursor, and both are invisible to the engineer who inherits your branch.

That gap is exactly what the cross-agent tools exist to fill. Worth naming so you can tell whether you actually have the problem — because if you don't switch agents and don't hand off work, you can stop reading here and keep using what's already in your editor.

6. HQ by Indigo — Best Company-Wide Knowledge & Workflow Memory

HQ by Indigo aims wider than coding — it's "the company brain that AI runs on." (hqforwork.com) It's a file-based memory of skills, knowledge, and workflows meant to serve a whole company, not just engineering.

It offers reusable /skills commands shared across a team and persistent agents living in Slack and email. It works with Claude, ChatGPT, Cursor, and Codex, so cross-tool workflows can share a common knowledge base.

Where it fits: broader company knowledge and cross-tool workflows rather than fine-grained coding-session resume. If your problem is that sales, support, and engineering all keep their context in separate heads, HQ addresses that spread.

Honest positioning vs ZeroShot: HQ is wider — it covers non-engineering teams — but less specialized for the engineering session-resume, skill-convention, and customer-evidence workflows that ZeroShot is built around. If your pain is specifically cross-agent, cross-teammate coding context, ZeroShot is the sharper instrument. If your pain is company-wide knowledge fragmentation, HQ covers more ground.

Comparison Table: All 6 Tools at a Glance

Tool	Cross-agent	Cross-teammate	Local-only	Team skills	Persistence model	Open source	Setup effort
ZeroShot (BuildBetter CLI)	Yes (7+ agents)	Yes	Privacy-first, consent-gated	Yes (BB-Skills)	Indexed, shareable sessions	Skills open source	Moderate
agent-hop	Yes	No	Yes	No	Session search + resume	Yes	Minimal
KiroCrew	Partial	Via shared workspace	Yes (own hardware)	Partial	Durable checkpoints	Yes	Higher
Prime Agent	Single-agent	No	Yes	No	Durable in-session state	Yes	Higher
Cursor / Claude Code native	Single-agent	No	Local per machine	Per-agent rules only	Per-project memory	No	Zero
HQ by Indigo	Yes	Yes	Cloud-based	Shared /skills	File-based memory	No	Low-moderate

How to Choose: A Decision Guide

Match the tool to the problem — not to whichever has the most GitHub stars. Here's the short version:

• Solo dev, one or many agents, want free + local: use agent-hop. It resumes across your own agents and never phones home.
• Engineering team where handoff and onboarding is the pain, and you want conventions and customer evidence to travel with the code: use ZeroShot. Cross-teammate resume, team skills, and evidence-aware reviews are the whole point.
• You need long-running autonomous agents with durable in-session state: use Prime Agent.
• You want a self-hosted persistent workspace with audit logging and multi-channel access: use KiroCrew.
• You never leave one agent: stick with Cursor / Claude Code native memory. Don't over-buy.
• You want company-wide knowledge, not just engineering: use HQ by Indigo.

A note on skills: a shared skill only helps if it runs in whatever agent each teammate uses, and if you can tell whether it earned its tokens. An unmeasured skill can quietly waste tokens and degrade output. Tools like skillrank (open source; also reachable as bb skills) index the public skill registry and run local paired evals so you can measure whether a skill actually improves results on your own agent before adopting it team-wide.

Frequently Asked Questions

What is cross-agent session memory?

It's a layer that captures and lets you search and resume your work across multiple AI coding agents — Claude Code, Cursor, Codex, and others — instead of losing the reasoning trail when a chat window closes. It solves the problem of context being trapped inside a single agent's silo.

What's the difference between cross-agent and cross-teammate memory?

Cross-agent moves your context between the tools you personally use; cross-teammate moves it between people on your team. They are distinct problems. agent-hop does the first (solo, local); ZeroShot adds the second (team, consent-gated sharing).

Is there a free, local-only option?

Yes. agent-hop is open source, local-only, and requires no account — your history never leaves your machine. KiroCrew and Prime Agent are also open source and self-hostable if you want durable, self-hosted persistence.

Do I need a team tool if I work solo?

No. A solo developer resuming their own sessions across their own agents is well served by agent-hop's free local resume. Team layers like ZeroShot only pay off when context has to cross people — for onboarding, handoffs, and shared conventions.

Can these tools work with any AI agent?

Coverage varies. agent-hop supports a specific set (Claude Code, Codex, OpenCode, Pi, Grok Build). ZeroShot sits underneath most major agents (Claude Code, Cursor, Codex, Copilot, Gemini CLI, Windsurf, Amazon Q). Cursor and Claude Code native memory are single-agent by design. Always check each tool's supported list before committing.

How do I know a shared skill actually helps?

Run a skillrank eval on the skill reference to get a local paired evaluation on your own agent, and check its security scan rating before installing. Measuring a skill before you adopt it team-wide keeps it from quietly wasting tokens.

The Bottom Line

Pick the tool that matches your actual problem:

• Solo resume: agent-hop — agent-hop.com
• Team context + conventions + evidence: ZeroShot — tryzeroshot.com
• Autonomous durability: Prime Agent — github.com/PrimeIntellect-ai/prime-agent
• Self-hosted workspace: KiroCrew — github.com/kirodotdev/kirocrew
• Single-agent memory: Cursor / Claude Code native
• Company-wide knowledge: HQ by Indigo — hqforwork.com

The honest line: agent-hop and ZeroShot overlap on resume, but the buying decision is solo vs team — not one being strictly "better" than the other. If your context only ever needs to cross the agents you personally use, take the free local tool. If it has to cross people — for onboarding, handoffs, and conventions that ride along with the code — that's where a team context layer pays for itself.

Ship at the speed of insight.

If your team keeps losing context between agents and between engineers, ZeroShot gives you cross-agent, cross-teammate session memory, your conventions as open-source skills, and customer evidence in every review — all from one CLI that works underneath the agents you already use. Install BuildBetter CLI and ship at the speed of insight.