AI agent frameworks and shared workspaces: what does your team need?

A team evaluating AI software can appear to have a framework problem when its real difficulty is coordination. The agent can already write code or research a question. What the team cannot reliably recover is which decision it should follow, what another agent has finished and who must review the result.

An agent framework helps developers build and operate agent behavior. A shared workspace gives people and agents somewhere to maintain the context, evidence, decisions and results of a project. Some products provide both. The useful buying question is which responsibilities your team needs to take on and which it wants a product to handle.

You may need a framework, a workspace or a combination. Begin with the work that is failing today. Rebuilding an agent runtime will not necessarily fix a missing project record, while a shared record alone cannot execute an application your company has yet to build.

First identify what your team is trying to operate

Imagine a software company evaluating customer requests for a new regional deployment. Product needs to understand demand. Engineering must assess operational constraints. Security needs to review the proposed data handling. An account owner must keep any customer commitment within the approved scope.

At first, these people can work in their existing AI tools. The coordination challenge is retaining a current proposal and its evidence while specialists contribute. A shared workspace can be useful before anyone builds a custom agent application.

Now change the requirement. The company wants an application that regularly checks an authorized set of sources, assigns analysis to specialist agents and routes a proposal for review. Someone must design execution, connect tools, handle failures and operate that application. A framework or an existing execution platform may help with that responsibility.

The underlying business objective has stayed the same. The software the team needs has changed because it has chosen to automate more of the process.

Separate the responsibilities before comparing products

Names such as platform, framework and workspace are used broadly. Compare what a product actually does, including the work your team would still own.

A single product can span several rows. The distinction is a way to ask better questions, not a rule that every framework lacks collaboration or every workspace lacks execution.

Ask to see each important responsibility demonstrated. A product may save conversation history while offering little help with a decision that changes between sessions. Another may have a useful review interface but need your team to supply the executor. Both can be reasonable choices if the remaining work is understood.

When a framework earns its place

A framework is useful when your team is building agent behavior that needs its own operating rules. You might need to control the sequence of tool use, preserve state across an interruption, evaluate alternative approaches or recover a workflow after a service fails.

For the regional deployment example, a custom application could gather permitted evidence, ask separate agents to evaluate technical and customer requirements, then prepare one review packet. Engineering would own how that process runs and what happens when a source is unavailable or two findings disagree.

Framework persistence can be substantial. LangGraph's documentation describes checkpoints for thread state and stores for information used across threads. Its interrupt support can pause execution for external input. These capabilities show why it would be misleading to say a framework only runs a prompt.

The implementation still needs to answer the team's operational questions. Who may resume the work? What should happen if the proposal changes while someone is reviewing it? Where will a colleague using another tool find the accepted decision? The framework may provide useful components, and your application must connect them to the intended process.

Choose a framework because its capabilities fit an application you intend to maintain. Our framework selection guide covers a more technical comparison of execution, persistence and operating burden.

When a shared workspace is the more direct starting point

Many teams already have capable agents. A developer uses a coding assistant, a researcher prefers a chat application and a manager works primarily in the browser. Asking everyone to move into one custom application may introduce an unnecessary adoption barrier.

A shared workspace can give those participants a common project record. It should be possible to find the current objective, inspect the sources behind a decision, see what another participant contributed and identify what needs a human response.

In the deployment example, the first useful result might be a reviewed feasibility note. Product records the customer need, engineering contributes its constraints and security identifies a condition that needs resolution. The account owner can then distinguish a promising proposal from a commitment the company has actually accepted.

An individual agent's memory is helpful within its own working context. A team also needs a record that other authorized participants can use and correct. This matters when work crosses tools, people or organizational responsibilities.

For a small project, ordinary documents and existing task tracking may cover that need. A dedicated workspace becomes more compelling when maintaining the shared record, permissions and continuity takes recurring effort.

Where Swarm fits

Swarm Spaces hold the context, discussion, evidence, agent Runs and human decisions around ongoing work. People can use the web app while compatible agents contribute through MCP or the API. A team can begin with one Space and its current tools.

That makes Swarm a place to coordinate the regional deployment review without first rebuilding the team's agents. The Space can retain the accepted scope, specialist findings and open questions. Each participant still needs authorized access to the sources and systems used for their contribution.

Swarm also offers execution choices. A connected agent can work in its own host, while Swarm Cloud provides a hosted route when selected and configured. Saving a Task records a brief; an actual Run still needs an eligible executor, the required permissions and available budget.

A team building its own agent application can use Swarm as the shared project layer around that application. The framework controls the process it was designed to run. Swarm holds the contributions and decisions that people and other agents need to continue the wider work. Decide deliberately which system owns scheduling, approvals and the current status so participants do not have to reconcile conflicting accounts.

The connection guide explains the supported starting points. Connecting a tool gives it scoped access; it does not silently migrate every conversation, source or responsibility into the Space.

Choose an adoption path that matches the missing capability

Keep the agents and add shared project context

Use this path when the agents already perform useful work but colleagues keep reconstructing the brief or repeating decisions. Start with one project that crosses two participants or tools. Preserve a decision with its evidence and ask a new participant to continue from it.

The first test is continuity. Can someone recover the accepted scope and next responsibility without a private explanation from the original author? There is little reason to build orchestration before finding out whether this addresses the actual difficulty.

Build the application your process requires

Use this path when you need repeatable agent behavior with specific operating rules. Define one bounded process and select a framework or execution platform against those requirements.

For the deployment review, keep an initial application limited to preparing a proposal from approved sources. Test missing information, an interrupted attempt and a reviewer requesting a revision. Leave customer commitments and production changes outside the pilot.

Combine custom behavior with a shared workspace

Use this path when the process needs custom execution and the surrounding work involves several people or agents. Establish which records the application reads, what it writes back and how the team reviews the result.

For example, a custom research agent could publish its feasibility findings into the authorized project Space. A person reviews those findings, then a separate coding agent prepares a prototype from the accepted brief. Each contribution has a clear purpose and an inspectable result.

Compare the work you will still own

Integration effort is only part of the cost. Include the time spent maintaining tools, reviewing outputs, repairing failed attempts and helping colleagues understand the system.

Ask a prospective provider to show what happens after a process stops halfway through. Can another authorized participant see the unfinished work? Can a reviewer inspect the evidence? Can the team distinguish an attempted external action from one that actually completed?

Also ask how access changes are handled. Removing a person or agent should affect the appropriate future access. A source link should not become a way around its original permissions. Review the actual behavior under your organization's requirements before introducing sensitive material.

Avoid making the pilot depend on features that are promised for later. List the capabilities available now and the ones your team would need to supply. If an existing setup already works well, the new product should justify the additional system people must learn.

Run one comparison around a real responsibility

Choose a responsibility that can be evaluated without releasing changes or contacting customers. For the example here, prepare the regional deployment feasibility note from a small approved source set.

Write down what a useful result must contain: the proposed region, the evidence for demand, unresolved operational conditions and the person responsible for the next decision. Give each candidate setup the same sources and action limits.

Then introduce one ordinary change. Update a requirement or have the reviewer ask for a correction. Observe whether the team can find the new state and continue without rebuilding the history by hand.

Record the setup effort, review effort and remaining gaps. These observations are more useful for a buying decision than counting agents in a demonstration. If the difficulty is mainly shared context, start there. If it is controlled execution, evaluate that capability directly.

Make the next step small enough to finish

You do not need to commit to an entire agent architecture to test shared work. Create a private Space for one live project, add a bounded brief and connect an existing compatible agent. Ask it to prepare a contribution that another person can inspect and continue.

If that exposes a need for custom automation, you will have a clearer specification for the framework or execution platform. If the shared record solves the immediate problem, the team can keep working with its existing tools.

Start with the responsibility you want to make easier to carry. Choose the software that supports it, and judge the result by whether the next person can do useful work.