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Agent frameworks give you the loop — planning, tool calls, memory, retries — so you build the task instead of the plumbing. This is the deepest category in the catalog, which makes choosing harder than finding.
The single all-purpose assistant is being replaced by small teams of narrow agents that hand work to each other, and the frameworks below are the layer that makes that handover survivable: shared memory, a tool contract, and a defined behaviour when one step returns nonsense.
What separates them in practice is rarely the planner. It is whether state persists across a crash, whether you can inspect why an agent chose a tool, and whether extending it means writing a plugin or maintaining a fork — questions the READMEs answer last, which is why each project here is described by what it does rather than by how it markets itself.
87 analysed projects match this topic.
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Updated: 2026-08-17