Hermit
An open-source agent adaptation layer framework from Infini-AI-Lab. Without modifying the base model or harness, it carries instructions, skills, memory and tools through a trainable middleware layer, and is optimized through task feedback.
Timeline (last 90 days)
Hermit's design goal is to improve Agent performance without restructuring existing Agent systems.
Infini-AI-Lab released Hermit.
Hermit is open-sourced under the Apache-2.0 license.
Hermit's core mechanism is to train a separate adaptation layer through task feedback, rather than fine-tuning the model itself.
Hermit's adaptation layer consists of four types of elements: instructions, skills, memory and tools.
Hermit does not modify the underlying model or the existing harness; instead, it inserts a trainable adaptation layer between the model and the harness.
Hermit's adaptation layer training signal comes from task execution results (success/failure, scores, environment rewards, etc.) rather than human-written reference answers.
The original information does not disclose Hermit's specific adaptation-layer training algorithm, data scale or evaluation results.
Open questions for Hermit's deployment include the degree of coupling between the adaptation layer and a specific harness, whether retraining is needed when transferring across tasks, and the source of training feedback signals.
Hermit's approach shifts the focus of Agent improvement from the model and framework to an intermediate adaptation layer.
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All Facts (11)
Hermit's design goal is to improve Agent performance without restructuring existing Agent systems.
50%UnverifiedOpen questions for Hermit's deployment include the degree of coupling between the adaptation layer and a specific harness, whether retraining is needed when transferring across tasks, and the source of training feedback signals.
50%UnverifiedHermit's approach shifts the focus of Agent improvement from the model and framework to an intermediate adaptation layer.
50%UnverifiedHermit is open-sourced under the Apache-2.0 license.
50%UnverifiedHermit's core mechanism is to train a separate adaptation layer through task feedback, rather than fine-tuning the model itself.
50%UnverifiedHermit's adaptation layer consists of four types of elements: instructions, skills, memory and tools.
50%UnverifiedHermit does not modify the underlying model or the existing harness; instead, it inserts a trainable adaptation layer between the model and the harness.
50%UnverifiedHermit's adaptation layer training signal comes from task execution results (success/failure, scores, environment rewards, etc.) rather than human-written reference answers.
50%UnverifiedThe original information does not disclose Hermit's specific adaptation-layer training algorithm, data scale or evaluation results.
50%UnverifiedThe custom role Missionary can convert players into monks, fanatics, or Hermits
50%UnverifiedInfini-AI-Lab released Hermit.
50%