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agent-curriculum

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Curriculum learning for agent training — difficulty-scored stages

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Direct dependencies5From release 0.1.0

Last observed20 Oct, 21:46 UTC

README

Version 0.1.0 documentation

AgentCurriculum

Curriculum learning for coding agents — train through progressive difficulty stages.

Overview

AgentCurriculum ranks agent traces by difficulty and builds a 5-stage training curriculum where the model learns basic tool use first, then progressively harder multi-step reasoning and error recovery.

Stages

Stage	Name	Difficulty	Tools	Errors	LR	LoRA r
1	Basic	0.0–0.2	<5	0	2e-4	64
2	Intermediate	0.2–0.4	<15	≤2	1e-4	64
3	Advanced	0.4–0.6	<30	≤5	5e-5	32
4	Expert	0.6–0.8	<60	≤10	3e-5	32
5	Master	0.8–1.0	<100	≤20	1e-5	16

Installation

pip install agent-curriculum

Quick Start

from agent_curriculum import DifficultyScorer, StageBuilder, CurriculumTrainer

# Score traces by difficulty
scorer = DifficultyScorer()
scores = scorer.score_file("traces.jsonl")

# Build curriculum stages
builder = StageBuilder(scorer=scorer)
stages = builder.build_stages("traces.jsonl")
builder.generate_configs("configs/")

# Train through the curriculum
trainer = CurriculumTrainer(base_model="Qwen/Qwen2.5-14B")
results = trainer.train_curriculum("traces.jsonl", start_stage=1, end_stage=5)

License

MIT

Ecosystem

Part of the FableForge ecosystem — 21 open-source projects built from 210K real agent traces:

Project	Description
Anvil	Self-verified coding agent
VerifyLoop	Plan→Execute→Verify→Recover framework
ErrorRecovery	Self-healing middleware (3,725 error patterns)
FableForge-14B	The fine-tuned 14B model (4-stage training)
ShellWhisperer	1.5B edge agent (phone/RPi, 50ms)
ReasonCritic	Verification model (130 benchmark tasks)
TraceCompiler	Compile traces → LoRA skills
AgentRuntime	Persistent agent daemon (systemd for AI)
AgentSwarm	Multi-agent from real trace transitions
AgentTelemetry	Datadog for agents (token tracking, costs)
BenchAgent	HumanEval for tool-use (107 tasks)
AgentDev	VSCode extension with verification
TraceViz	Trace replay visualizer (Next.js)
AgentSkills	npm for agent behaviors
AgentCurriculum	5-stage progressive training
AgentFuzzer	Adversarial testing for agents
AgentConstitution	Safety guardrails from traces
CostOptimizer	Token cost reduction (50-80%)
AgentProfiler	Behavioral fingerprinting
TrajectoryDistiller	Trace→training data pipeline
Fable5-Dataset	HuggingFace dataset release

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Versions 1

Collected releases

Version	Published	Direct dependencies	Open version
0.1.0	14 Jun 2026	5

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Observed since 20 Oct, 21:46 UTC

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package:ddeb8587a93f3feb67eca69b41e5f5cb6c05f9c3a4c599f55111e11a36ad8e41