RWKV-7
https://github.com/BlinkDL/RWKV-LM
RWKV recurrent-LM family — linear-time, constant-memory inference; v7 ('Goose') is the SotA recurrent LM. Community-driven OSS, Linux Foundation hosted.
At a glance
- Type
- RNN with transformer-level perf
- Tier
- T3
- Created
- 2023
- Latest release
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- License
- Apache-2.0
- GitHub
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- Pricing
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- Funding
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Taxonomy
- storage
- n/a
- retrieval
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- persistence
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- update
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- unit
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- governance
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- conflict
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When to use
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Pros & cons
Pros
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Cons
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Claims & capabilities
Linux Foundation AI project; community-funded.
Technical surface
- API surface
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- Backend storage
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- Deployment
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- Embedding model
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- Multi-tenancy
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- MCP
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- A2A
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- OpenTelemetry
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Similar systems
Other recent method papers — theorized, no distinct product in the catalog, ranked by inbound references.
- Compressive Transformer T3
Maintains recent states in full resolution while compressing older memories with learned compression functions. DeepMind.
- MemGPT v2 / agent-tools T3
Already in catalog as the foundational MemGPT paper. Note: Letta is the productionised successor (cross-listed).
- Transformer-XL T3
Extends context through segment-level recurrence + caching of hidden states from prior segments. Foundational long-context architecture.
- Generative Agents T3
Park et al. — landmark agent-simulation paper. Reflection + memory stream + retrieval enable believable agent behavior.
- MemoryBank T3
Enhances LLMs with long-term memory. Early influential paper.
- Reflexion T3
Language agents with verbal reinforcement learning.